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royniel/README.md

Typing tagline

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About Me

name: Nilanjan Royrole: Full-Stack Engineer @ Vertige (Healthcare AI)education: M.S. Software Engineering + AI · Northeastern '25focus: Real-time distributed systems · Applied LLMs · Mobile productsmantra: "Reliability over novelty. Latency you can feel. Code that ships."


Tech Arsenal

Languages

Backend & Streaming

Frontend & Mobile

AI / ML

Data & Infra


The Road So Far

🩺 Vertige Full-Stack Engineer Jan 2025 — Present Philadelphia (Remote)
💼 Cynet Systems Full-Stack Engineer Sep 2022 — Aug 2023 Noida, India
🎟 Mastech Digital Full-Stack Engineer Jan 2021 — Sep 2022 Noida, India


Things I've Shipped

Image → working code, in real-time.

Multimodal LLM pipeline with SSE streaming, Postgres-checkpointed conversational state, Redis-cached vision-judge calls, per-provider budget circuit breakers, and an automated eval harness scoring visual fidelity, element presence, and code validity.

Peter Lynch as a chatbot. RAG, no API keys.

Financial RAG chatbot with FLAN-T5 generation + Sentence-BERT semantic search, an async embedding pipeline with custom caching, and LLM eval workflows benchmarking retrieval quality against unstructured financial datasets.


What I Optimize For

Reliability over novelty — zero-rollback releases · fault-tolerant Kafka · JUnit-first
Latency you can feel — 30% retrieval gains · 18% page load cuts · <5s cold starts
Code that ships — 5 years of production microservices, mobile apps, and AI systems users actually touched


Always open to interesting problems. Reach out 📬

Pinned Loading

  1. canvas2codecanvas2codePublic

    Turn any images or wireframe into usable React/ Vue/ Next.js code. The agent will give you 3 different outputs and further use correction loop to refine the code without any prompts, compare and hi…

    Python

  2. Springboot-HibernateSpringboot-HibernatePublic

    This is website created on Java & Springboot framework with Hibernate. The purpose of this application is to register for different courses available. The algorithm helps the user to select the cou…

    Java

  3. LynchBotAILynchBotAIPublic

    This is trading chat bot made out of RAG model based out of Google Flan T5 and Mini LM L6

    Python

  4. WhiskerswagsWhiskerswagsPublic

    This is a react-express-node-mongodb based application. It serves the functionality of pet adoption portal.

    JavaScript

  5. ShootItShootItPublic

    A chatbot based on Gemini API

    Python

  6. VertigeReactNativeBetaVertigeReactNativeBetaPublic

    JavaScript

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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royniel/README.md

Typing tagline

Location


About Me

name: Nilanjan Royrole: Full-Stack Engineer @ Vertige (Healthcare AI)education: M.S. Software Engineering + AI · Northeastern '25focus: Real-time distributed systems · Applied LLMs · Mobile productsmantra: "Reliability over novelty. Latency you can feel. Code that ships."


Tech Arsenal

Languages

Backend & Streaming

Frontend & Mobile

AI / ML

Data & Infra


The Road So Far

🩺 Vertige Full-Stack Engineer Jan 2025 — Present Philadelphia (Remote)
💼 Cynet Systems Full-Stack Engineer Sep 2022 — Aug 2023 Noida, India
🎟 Mastech Digital Full-Stack Engineer Jan 2021 — Sep 2022 Noida, India


Things I've Shipped

Image → working code, in real-time.

Multimodal LLM pipeline with SSE streaming, Postgres-checkpointed conversational state, Redis-cached vision-judge calls, per-provider budget circuit breakers, and an automated eval harness scoring visual fidelity, element presence, and code validity.

Peter Lynch as a chatbot. RAG, no API keys.

Financial RAG chatbot with FLAN-T5 generation + Sentence-BERT semantic search, an async embedding pipeline with custom caching, and LLM eval workflows benchmarking retrieval quality against unstructured financial datasets.


What I Optimize For

Reliability over novelty — zero-rollback releases · fault-tolerant Kafka · JUnit-first
Latency you can feel — 30% retrieval gains · 18% page load cuts · <5s cold starts
Code that ships — 5 years of production microservices, mobile apps, and AI systems users actually touched


Always open to interesting problems. Reach out 📬

Pinned Loading

  1. canvas2codecanvas2codePublic

    Turn any images or wireframe into usable React/ Vue/ Next.js code. The agent will give you 3 different outputs and further use correction loop to refine the code without any prompts, compare and hi…

    Python

  2. Springboot-HibernateSpringboot-HibernatePublic

    This is website created on Java & Springboot framework with Hibernate. The purpose of this application is to register for different courses available. The algorithm helps the user to select the cou…

    Java

  3. LynchBotAILynchBotAIPublic

    This is trading chat bot made out of RAG model based out of Google Flan T5 and Mini LM L6

    Python

  4. WhiskerswagsWhiskerswagsPublic

    This is a react-express-node-mongodb based application. It serves the functionality of pet adoption portal.

    JavaScript

  5. ShootItShootItPublic

    A chatbot based on Gemini API

    Python

  6. VertigeReactNativeBetaVertigeReactNativeBetaPublic

    JavaScript

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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royniel/README.md

Typing tagline

Location


About Me

name: Nilanjan Royrole: Full-Stack Engineer @ Vertige (Healthcare AI)education: M.S. Software Engineering + AI · Northeastern '25focus: Real-time distributed systems · Applied LLMs · Mobile productsmantra: "Reliability over novelty. Latency you can feel. Code that ships."


Tech Arsenal

Languages

Backend & Streaming

Frontend & Mobile

AI / ML

Data & Infra


The Road So Far

🩺 Vertige Full-Stack Engineer Jan 2025 — Present Philadelphia (Remote)
💼 Cynet Systems Full-Stack Engineer Sep 2022 — Aug 2023 Noida, India
🎟 Mastech Digital Full-Stack Engineer Jan 2021 — Sep 2022 Noida, India


Things I've Shipped

Image → working code, in real-time.

Multimodal LLM pipeline with SSE streaming, Postgres-checkpointed conversational state, Redis-cached vision-judge calls, per-provider budget circuit breakers, and an automated eval harness scoring visual fidelity, element presence, and code validity.

Peter Lynch as a chatbot. RAG, no API keys.

Financial RAG chatbot with FLAN-T5 generation + Sentence-BERT semantic search, an async embedding pipeline with custom caching, and LLM eval workflows benchmarking retrieval quality against unstructured financial datasets.


What I Optimize For

Reliability over novelty — zero-rollback releases · fault-tolerant Kafka · JUnit-first
Latency you can feel — 30% retrieval gains · 18% page load cuts · <5s cold starts
Code that ships — 5 years of production microservices, mobile apps, and AI systems users actually touched


Always open to interesting problems. Reach out 📬

Pinned Loading

  1. canvas2codecanvas2codePublic

    Turn any images or wireframe into usable React/ Vue/ Next.js code. The agent will give you 3 different outputs and further use correction loop to refine the code without any prompts, compare and hi…

    Python

  2. Springboot-HibernateSpringboot-HibernatePublic

    This is website created on Java & Springboot framework with Hibernate. The purpose of this application is to register for different courses available. The algorithm helps the user to select the cou…

    Java

  3. LynchBotAILynchBotAIPublic

    This is trading chat bot made out of RAG model based out of Google Flan T5 and Mini LM L6

    Python

  4. WhiskerswagsWhiskerswagsPublic

    This is a react-express-node-mongodb based application. It serves the functionality of pet adoption portal.

    JavaScript

  5. ShootItShootItPublic

    A chatbot based on Gemini API

    Python

  6. VertigeReactNativeBetaVertigeReactNativeBetaPublic

    JavaScript

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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royniel/README.md

Typing tagline

Location


About Me

name: Nilanjan Royrole: Full-Stack Engineer @ Vertige (Healthcare AI)education: M.S. Software Engineering + AI · Northeastern '25focus: Real-time distributed systems · Applied LLMs · Mobile productsmantra: "Reliability over novelty. Latency you can feel. Code that ships."


Tech Arsenal

Languages

Backend & Streaming

Frontend & Mobile

AI / ML

Data & Infra


The Road So Far

🩺 Vertige Full-Stack Engineer Jan 2025 — Present Philadelphia (Remote)
💼 Cynet Systems Full-Stack Engineer Sep 2022 — Aug 2023 Noida, India
🎟 Mastech Digital Full-Stack Engineer Jan 2021 — Sep 2022 Noida, India


Things I've Shipped

Image → working code, in real-time.

Multimodal LLM pipeline with SSE streaming, Postgres-checkpointed conversational state, Redis-cached vision-judge calls, per-provider budget circuit breakers, and an automated eval harness scoring visual fidelity, element presence, and code validity.

Peter Lynch as a chatbot. RAG, no API keys.

Financial RAG chatbot with FLAN-T5 generation + Sentence-BERT semantic search, an async embedding pipeline with custom caching, and LLM eval workflows benchmarking retrieval quality against unstructured financial datasets.


What I Optimize For

Reliability over novelty — zero-rollback releases · fault-tolerant Kafka · JUnit-first
Latency you can feel — 30% retrieval gains · 18% page load cuts · <5s cold starts
Code that ships — 5 years of production microservices, mobile apps, and AI systems users actually touched


Always open to interesting problems. Reach out 📬

Pinned Loading

  1. canvas2codecanvas2codePublic

    Turn any images or wireframe into usable React/ Vue/ Next.js code. The agent will give you 3 different outputs and further use correction loop to refine the code without any prompts, compare and hi…

    Python

  2. Springboot-HibernateSpringboot-HibernatePublic

    This is website created on Java & Springboot framework with Hibernate. The purpose of this application is to register for different courses available. The algorithm helps the user to select the cou…

    Java

  3. LynchBotAILynchBotAIPublic

    This is trading chat bot made out of RAG model based out of Google Flan T5 and Mini LM L6

    Python

  4. WhiskerswagsWhiskerswagsPublic

    This is a react-express-node-mongodb based application. It serves the functionality of pet adoption portal.

    JavaScript

  5. ShootItShootItPublic

    A chatbot based on Gemini API

    Python

  6. VertigeReactNativeBetaVertigeReactNativeBetaPublic

    JavaScript

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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royniel/README.md

Typing tagline

Location


About Me

name: Nilanjan Royrole: Full-Stack Engineer @ Vertige (Healthcare AI)education: M.S. Software Engineering + AI · Northeastern '25focus: Real-time distributed systems · Applied LLMs · Mobile productsmantra: "Reliability over novelty. Latency you can feel. Code that ships."


Tech Arsenal

Languages

Backend & Streaming

Frontend & Mobile

AI / ML

Data & Infra


The Road So Far

🩺 Vertige Full-Stack Engineer Jan 2025 — Present Philadelphia (Remote)
💼 Cynet Systems Full-Stack Engineer Sep 2022 — Aug 2023 Noida, India
🎟 Mastech Digital Full-Stack Engineer Jan 2021 — Sep 2022 Noida, India


Things I've Shipped

Image → working code, in real-time.

Multimodal LLM pipeline with SSE streaming, Postgres-checkpointed conversational state, Redis-cached vision-judge calls, per-provider budget circuit breakers, and an automated eval harness scoring visual fidelity, element presence, and code validity.

Peter Lynch as a chatbot. RAG, no API keys.

Financial RAG chatbot with FLAN-T5 generation + Sentence-BERT semantic search, an async embedding pipeline with custom caching, and LLM eval workflows benchmarking retrieval quality against unstructured financial datasets.


What I Optimize For

Reliability over novelty — zero-rollback releases · fault-tolerant Kafka · JUnit-first
Latency you can feel — 30% retrieval gains · 18% page load cuts · <5s cold starts
Code that ships — 5 years of production microservices, mobile apps, and AI systems users actually touched


Always open to interesting problems. Reach out 📬

Pinned Loading

  1. canvas2codecanvas2codePublic

    Turn any images or wireframe into usable React/ Vue/ Next.js code. The agent will give you 3 different outputs and further use correction loop to refine the code without any prompts, compare and hi…

    Python

  2. Springboot-HibernateSpringboot-HibernatePublic

    This is website created on Java & Springboot framework with Hibernate. The purpose of this application is to register for different courses available. The algorithm helps the user to select the cou…

    Java

  3. LynchBotAILynchBotAIPublic

    This is trading chat bot made out of RAG model based out of Google Flan T5 and Mini LM L6

    Python

  4. WhiskerswagsWhiskerswagsPublic

    This is a react-express-node-mongodb based application. It serves the functionality of pet adoption portal.

    JavaScript

  5. ShootItShootItPublic

    A chatbot based on Gemini API

    Python

  6. VertigeReactNativeBetaVertigeReactNativeBetaPublic

    JavaScript

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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royniel/README.md

Typing tagline

Location


About Me

name: Nilanjan Royrole: Full-Stack Engineer @ Vertige (Healthcare AI)education: M.S. Software Engineering + AI · Northeastern '25focus: Real-time distributed systems · Applied LLMs · Mobile productsmantra: "Reliability over novelty. Latency you can feel. Code that ships."


Tech Arsenal

Languages

Backend & Streaming

Frontend & Mobile

AI / ML

Data & Infra


The Road So Far

🩺 Vertige Full-Stack Engineer Jan 2025 — Present Philadelphia (Remote)
💼 Cynet Systems Full-Stack Engineer Sep 2022 — Aug 2023 Noida, India
🎟 Mastech Digital Full-Stack Engineer Jan 2021 — Sep 2022 Noida, India


Things I've Shipped

Image → working code, in real-time.

Multimodal LLM pipeline with SSE streaming, Postgres-checkpointed conversational state, Redis-cached vision-judge calls, per-provider budget circuit breakers, and an automated eval harness scoring visual fidelity, element presence, and code validity.

Peter Lynch as a chatbot. RAG, no API keys.

Financial RAG chatbot with FLAN-T5 generation + Sentence-BERT semantic search, an async embedding pipeline with custom caching, and LLM eval workflows benchmarking retrieval quality against unstructured financial datasets.


What I Optimize For

Reliability over novelty — zero-rollback releases · fault-tolerant Kafka · JUnit-first
Latency you can feel — 30% retrieval gains · 18% page load cuts · <5s cold starts
Code that ships — 5 years of production microservices, mobile apps, and AI systems users actually touched


Always open to interesting problems. Reach out 📬

Pinned Loading

  1. canvas2codecanvas2codePublic

    Turn any images or wireframe into usable React/ Vue/ Next.js code. The agent will give you 3 different outputs and further use correction loop to refine the code without any prompts, compare and hi…

    Python

  2. Springboot-HibernateSpringboot-HibernatePublic

    This is website created on Java & Springboot framework with Hibernate. The purpose of this application is to register for different courses available. The algorithm helps the user to select the cou…

    Java

  3. LynchBotAILynchBotAIPublic

    This is trading chat bot made out of RAG model based out of Google Flan T5 and Mini LM L6

    Python

  4. WhiskerswagsWhiskerswagsPublic

    This is a react-express-node-mongodb based application. It serves the functionality of pet adoption portal.

    JavaScript

  5. ShootItShootItPublic

    A chatbot based on Gemini API

    Python

  6. VertigeReactNativeBetaVertigeReactNativeBetaPublic

    JavaScript

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content
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Report abuse
royniel/README.md

Typing tagline

Location


About Me

name: Nilanjan Royrole: Full-Stack Engineer @ Vertige (Healthcare AI)education: M.S. Software Engineering + AI · Northeastern '25focus: Real-time distributed systems · Applied LLMs · Mobile productsmantra: "Reliability over novelty. Latency you can feel. Code that ships."


Tech Arsenal

Languages

Backend & Streaming

Frontend & Mobile

AI / ML

Data & Infra


The Road So Far

🩺 Vertige Full-Stack Engineer Jan 2025 — Present Philadelphia (Remote)
💼 Cynet Systems Full-Stack Engineer Sep 2022 — Aug 2023 Noida, India
🎟 Mastech Digital Full-Stack Engineer Jan 2021 — Sep 2022 Noida, India


Things I've Shipped

Image → working code, in real-time.

Multimodal LLM pipeline with SSE streaming, Postgres-checkpointed conversational state, Redis-cached vision-judge calls, per-provider budget circuit breakers, and an automated eval harness scoring visual fidelity, element presence, and code validity.

Peter Lynch as a chatbot. RAG, no API keys.

Financial RAG chatbot with FLAN-T5 generation + Sentence-BERT semantic search, an async embedding pipeline with custom caching, and LLM eval workflows benchmarking retrieval quality against unstructured financial datasets.


What I Optimize For

Reliability over novelty — zero-rollback releases · fault-tolerant Kafka · JUnit-first
Latency you can feel — 30% retrieval gains · 18% page load cuts · <5s cold starts
Code that ships — 5 years of production microservices, mobile apps, and AI systems users actually touched


Always open to interesting problems. Reach out 📬

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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royniel/README.md

Typing tagline

Location


About Me

name: Nilanjan Royrole: Full-Stack Engineer @ Vertige (Healthcare AI)education: M.S. Software Engineering + AI · Northeastern '25focus: Real-time distributed systems · Applied LLMs · Mobile productsmantra: "Reliability over novelty. Latency you can feel. Code that ships."


Tech Arsenal

Languages

Backend & Streaming

Frontend & Mobile

AI / ML

Data & Infra


The Road So Far

🩺 Vertige Full-Stack Engineer Jan 2025 — Present Philadelphia (Remote)
💼 Cynet Systems Full-Stack Engineer Sep 2022 — Aug 2023 Noida, India
🎟 Mastech Digital Full-Stack Engineer Jan 2021 — Sep 2022 Noida, India


Things I've Shipped

Image → working code, in real-time.

Multimodal LLM pipeline with SSE streaming, Postgres-checkpointed conversational state, Redis-cached vision-judge calls, per-provider budget circuit breakers, and an automated eval harness scoring visual fidelity, element presence, and code validity.

Peter Lynch as a chatbot. RAG, no API keys.

Financial RAG chatbot with FLAN-T5 generation + Sentence-BERT semantic search, an async embedding pipeline with custom caching, and LLM eval workflows benchmarking retrieval quality against unstructured financial datasets.


What I Optimize For

Reliability over novelty — zero-rollback releases · fault-tolerant Kafka · JUnit-first
Latency you can feel — 30% retrieval gains · 18% page load cuts · <5s cold starts
Code that ships — 5 years of production microservices, mobile apps, and AI systems users actually touched


Always open to interesting problems. Reach out 📬

Pinned Loading

  1. canvas2codecanvas2codePublic

    Turn any images or wireframe into usable React/ Vue/ Next.js code. The agent will give you 3 different outputs and further use correction loop to refine the code without any prompts, compare and hi…

    Python

  2. Springboot-HibernateSpringboot-HibernatePublic

    This is website created on Java & Springboot framework with Hibernate. The purpose of this application is to register for different courses available. The algorithm helps the user to select the cou…

    Java

  3. LynchBotAILynchBotAIPublic

    This is trading chat bot made out of RAG model based out of Google Flan T5 and Mini LM L6

    Python

  4. WhiskerswagsWhiskerswagsPublic

    This is a react-express-node-mongodb based application. It serves the functionality of pet adoption portal.

    JavaScript

  5. ShootItShootItPublic

    A chatbot based on Gemini API

    Python

  6. VertigeReactNativeBetaVertigeReactNativeBetaPublic

    JavaScript