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Yash2378/README.md

Readme · MD

Yash Darji

Full stack engineer. I build software that handles other people's money and personal data, and I run it in production.

The Multivac

An independent LLM evaluation platform I built and operate end to end. Live at app.themultivac.com.

Next.js 15 App Router, React 19 and TypeScript on the front. FastAPI with async SQLAlchemy and asyncpg behind it. Neon Postgres and Upstash Redis underneath, deployed on Vercel through GitHub Actions. Multi vendor model routing, server sent event streaming, JWT and JWKS auth, sliding window rate limiting on SHA-256 hashed IPs.

The application is closed source. The evaluation engine and the full dataset are MIT licensed at themultivac/multivac-evaluation.

The research: a blind peer matrix evaluation of 55 frontier models, 27,540 model to model judgments across 198 questions. The finding I care about most is that every peer judge scored a functionally broken concurrency fix a perfect 10, and executing it showed that fix failing 25 of 25 stress trials. Looking correct and being correct diverge exactly where it matters.

Preprint self hosted. I later audited my own published results adversarially and reported several of them down, including a refusal rate that did not survive correct classification of empty responses. The methodological claim held. Some of the labels did not.

EMOTE4D

Privacy first fall detection for eldercare, running entirely on device with no cloud dependency. Raw frames are discarded immediately after landmark extraction, so only skeleton coordinates persist and privacy is a structural property rather than a policy.

Python, MediaPipe, scikit-learn. Two stage detector at 83.3% recall and 97.5% specificity on a 200 clip cross person set, 21.3 FPS on a Raspberry Pi 5. Private repo, site at emote4d-website.

Client work

Since 2023 I have delivered client software under contract. Most of it is Lodge Nexus, a commercial cloud hotel property management platform built from scratch with one other engineer and live in production across six properties. Laravel and PHP, Angular and TypeScript, MySQL, Docker, promoted through staging with unit tests before anything reaches live.

I found raw card data being collected in a live payment flow there, implemented encryption for it, and built the audit and authentication logging around it. Closed source.

Stack: Python · TypeScript · PHP · FastAPI · Laravel · React · Next.js · Angular · PostgreSQL · MySQL · Redis · Docker · AWS

Links:themultivac.com · app.themultivac.com · linkedin.com/in/yash-darji-363009296

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  1. themultivac/multivac-evaluationthemultivac/multivac-evaluationPublic

    Python 6

  2. emote4d-websiteemote4d-websitePublic

    Astro

  3. dynamic-4d-vision-reconstructiondynamic-4d-vision-reconstructionPublic

    Dynamic 4D Vision Reconstruction - Reconstructing dynamic 4D scenes (3D geometry + time) from 2D videos using NeRF and 3D Gaussian Splatting. Progresses from static 3D reconstruction to real-time d…

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
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Yash2378/README.md
Readme · MD
Yash Darji
Full stack engineer. I build software that handles other people's money and personal data, and I run it in production.
The Multivac
An independent LLM evaluation platform I built and operate end to end. Live at app.themultivac.com.
Next.js 15 App Router, React 19 and TypeScript on the front. FastAPI with async SQLAlchemy and asyncpg behind it. Neon Postgres and Upstash Redis underneath, deployed on Vercel through GitHub Actions. Multi vendor model routing, server sent event streaming, JWT and JWKS auth, sliding window rate limiting on SHA-256 hashed IPs.
The application is closed source. The evaluation engine and the full dataset are MIT licensed at themultivac/multivac-evaluation.
The research: a blind peer matrix evaluation of 55 frontier models, 27,540 model to model judgments across 198 questions. The finding I care about most is that every peer judge scored a functionally broken concurrency fix a perfect 10, and executing it showed that fix failing 25 of 25 stress trials. Looking correct and being correct diverge exactly where it matters.
Preprint self hosted. I later audited my own published results adversarially and reported several of them down, including a refusal rate that did not survive correct classification of empty responses. The methodological claim held. Some of the labels did not.
EMOTE4D
Privacy first fall detection for eldercare, running entirely on device with no cloud dependency. Raw frames are discarded immediately after landmark extraction, so only skeleton coordinates persist and privacy is a structural property rather than a policy.
Python, MediaPipe, scikit-learn. Two stage detector at 83.3% recall and 97.5% specificity on a 200 clip cross person set, 21.3 FPS on a Raspberry Pi 5. Private repo, site at emote4d-website.
Client work
Since 2023 I have delivered client software under contract. Most of it is Lodge Nexus, a commercial cloud hotel property management platform built from scratch with one other engineer and live in production across six properties. Laravel and PHP, Angular and TypeScript, MySQL, Docker, promoted through staging with unit tests before anything reaches live.
I found raw card data being collected in a live payment flow there, implemented encryption for it, and built the audit and authentication logging around it. Closed source.
Stack: Python · TypeScript · PHP · FastAPI · Laravel · React · Next.js · Angular · PostgreSQL · MySQL · Redis · Docker · AWS
Links:themultivac.com · app.themultivac.com · linkedin.com/in/yash-darji-363009296

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  1. themultivac/multivac-evaluationthemultivac/multivac-evaluationPublic
    Python
6

  2. emote4d-websiteemote4d-websitePublic
    Astro
  3. dynamic-4d-vision-reconstructiondynamic-4d-vision-reconstructionPublic
    
Dynamic 4D Vision Reconstruction - Reconstructing dynamic 4D scenes (3D geometry + time) from 2D videos using NeRF and 3D Gaussian Splatting. Progresses from static 3D reconstruction to real-time d…

    Jupyter Notebook
  4. themultivac/themultivac.github.iothemultivac/themultivac.github.ioPublic
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, 'i');
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Yash2378/README.md
Readme · MD
Yash Darji
Full stack engineer. I build software that handles other people's money and personal data, and I run it in production.
The Multivac
An independent LLM evaluation platform I built and operate end to end. Live at app.themultivac.com.
Next.js 15 App Router, React 19 and TypeScript on the front. FastAPI with async SQLAlchemy and asyncpg behind it. Neon Postgres and Upstash Redis underneath, deployed on Vercel through GitHub Actions. Multi vendor model routing, server sent event streaming, JWT and JWKS auth, sliding window rate limiting on SHA-256 hashed IPs.
The application is closed source. The evaluation engine and the full dataset are MIT licensed at themultivac/multivac-evaluation.
The research: a blind peer matrix evaluation of 55 frontier models, 27,540 model to model judgments across 198 questions. The finding I care about most is that every peer judge scored a functionally broken concurrency fix a perfect 10, and executing it showed that fix failing 25 of 25 stress trials. Looking correct and being correct diverge exactly where it matters.
Preprint self hosted. I later audited my own published results adversarially and reported several of them down, including a refusal rate that did not survive correct classification of empty responses. The methodological claim held. Some of the labels did not.
EMOTE4D
Privacy first fall detection for eldercare, running entirely on device with no cloud dependency. Raw frames are discarded immediately after landmark extraction, so only skeleton coordinates persist and privacy is a structural property rather than a policy.
Python, MediaPipe, scikit-learn. Two stage detector at 83.3% recall and 97.5% specificity on a 200 clip cross person set, 21.3 FPS on a Raspberry Pi 5. Private repo, site at emote4d-website.
Client work
Since 2023 I have delivered client software under contract. Most of it is Lodge Nexus, a commercial cloud hotel property management platform built from scratch with one other engineer and live in production across six properties. Laravel and PHP, Angular and TypeScript, MySQL, Docker, promoted through staging with unit tests before anything reaches live.
I found raw card data being collected in a live payment flow there, implemented encryption for it, and built the audit and authentication logging around it. Closed source.
Stack: Python · TypeScript · PHP · FastAPI · Laravel · React · Next.js · Angular · PostgreSQL · MySQL · Redis · Docker · AWS
Links:themultivac.com · app.themultivac.com · linkedin.com/in/yash-darji-363009296

Pinned
Loading
  1. themultivac/multivac-evaluationthemultivac/multivac-evaluationPublic
    Python
6

  2. emote4d-websiteemote4d-websitePublic
    Astro
  3. dynamic-4d-vision-reconstructiondynamic-4d-vision-reconstructionPublic
    
Dynamic 4D Vision Reconstruction - Reconstructing dynamic 4D scenes (3D geometry + time) from 2D videos using NeRF and 3D Gaussian Splatting. Progresses from static 3D reconstruction to real-time d…

    Jupyter Notebook
  4. themultivac/themultivac.github.iothemultivac/themultivac.github.ioPublic
    HTML

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
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Yash2378/README.md
Readme · MD
Yash Darji
Full stack engineer. I build software that handles other people's money and personal data, and I run it in production.
The Multivac
An independent LLM evaluation platform I built and operate end to end. Live at app.themultivac.com.
Next.js 15 App Router, React 19 and TypeScript on the front. FastAPI with async SQLAlchemy and asyncpg behind it. Neon Postgres and Upstash Redis underneath, deployed on Vercel through GitHub Actions. Multi vendor model routing, server sent event streaming, JWT and JWKS auth, sliding window rate limiting on SHA-256 hashed IPs.
The application is closed source. The evaluation engine and the full dataset are MIT licensed at themultivac/multivac-evaluation.
The research: a blind peer matrix evaluation of 55 frontier models, 27,540 model to model judgments across 198 questions. The finding I care about most is that every peer judge scored a functionally broken concurrency fix a perfect 10, and executing it showed that fix failing 25 of 25 stress trials. Looking correct and being correct diverge exactly where it matters.
Preprint self hosted. I later audited my own published results adversarially and reported several of them down, including a refusal rate that did not survive correct classification of empty responses. The methodological claim held. Some of the labels did not.
EMOTE4D
Privacy first fall detection for eldercare, running entirely on device with no cloud dependency. Raw frames are discarded immediately after landmark extraction, so only skeleton coordinates persist and privacy is a structural property rather than a policy.
Python, MediaPipe, scikit-learn. Two stage detector at 83.3% recall and 97.5% specificity on a 200 clip cross person set, 21.3 FPS on a Raspberry Pi 5. Private repo, site at emote4d-website.
Client work
Since 2023 I have delivered client software under contract. Most of it is Lodge Nexus, a commercial cloud hotel property management platform built from scratch with one other engineer and live in production across six properties. Laravel and PHP, Angular and TypeScript, MySQL, Docker, promoted through staging with unit tests before anything reaches live.
I found raw card data being collected in a live payment flow there, implemented encryption for it, and built the audit and authentication logging around it. Closed source.
Stack: Python · TypeScript · PHP · FastAPI · Laravel · React · Next.js · Angular · PostgreSQL · MySQL · Redis · Docker · AWS
Links:themultivac.com · app.themultivac.com · linkedin.com/in/yash-darji-363009296

Pinned
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  1. themultivac/multivac-evaluationthemultivac/multivac-evaluationPublic
    Python
6

  2. emote4d-websiteemote4d-websitePublic
    Astro
  3. dynamic-4d-vision-reconstructiondynamic-4d-vision-reconstructionPublic
    
Dynamic 4D Vision Reconstruction - Reconstructing dynamic 4D scenes (3D geometry + time) from 2D videos using NeRF and 3D Gaussian Splatting. Progresses from static 3D reconstruction to real-time d…

    Jupyter Notebook
  4. themultivac/themultivac.github.iothemultivac/themultivac.github.ioPublic
    HTML

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
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observer.observe(document.body, { childList: true, subtree: true });
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Yash2378/README.md
Readme · MD
Yash Darji
Full stack engineer. I build software that handles other people's money and personal data, and I run it in production.
The Multivac
An independent LLM evaluation platform I built and operate end to end. Live at app.themultivac.com.
Next.js 15 App Router, React 19 and TypeScript on the front. FastAPI with async SQLAlchemy and asyncpg behind it. Neon Postgres and Upstash Redis underneath, deployed on Vercel through GitHub Actions. Multi vendor model routing, server sent event streaming, JWT and JWKS auth, sliding window rate limiting on SHA-256 hashed IPs.
The application is closed source. The evaluation engine and the full dataset are MIT licensed at themultivac/multivac-evaluation.
The research: a blind peer matrix evaluation of 55 frontier models, 27,540 model to model judgments across 198 questions. The finding I care about most is that every peer judge scored a functionally broken concurrency fix a perfect 10, and executing it showed that fix failing 25 of 25 stress trials. Looking correct and being correct diverge exactly where it matters.
Preprint self hosted. I later audited my own published results adversarially and reported several of them down, including a refusal rate that did not survive correct classification of empty responses. The methodological claim held. Some of the labels did not.
EMOTE4D
Privacy first fall detection for eldercare, running entirely on device with no cloud dependency. Raw frames are discarded immediately after landmark extraction, so only skeleton coordinates persist and privacy is a structural property rather than a policy.
Python, MediaPipe, scikit-learn. Two stage detector at 83.3% recall and 97.5% specificity on a 200 clip cross person set, 21.3 FPS on a Raspberry Pi 5. Private repo, site at emote4d-website.
Client work
Since 2023 I have delivered client software under contract. Most of it is Lodge Nexus, a commercial cloud hotel property management platform built from scratch with one other engineer and live in production across six properties. Laravel and PHP, Angular and TypeScript, MySQL, Docker, promoted through staging with unit tests before anything reaches live.
I found raw card data being collected in a live payment flow there, implemented encryption for it, and built the audit and authentication logging around it. Closed source.
Stack: Python · TypeScript · PHP · FastAPI · Laravel · React · Next.js · Angular · PostgreSQL · MySQL · Redis · Docker · AWS
Links:themultivac.com · app.themultivac.com · linkedin.com/in/yash-darji-363009296

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  1. themultivac/multivac-evaluationthemultivac/multivac-evaluationPublic
    Python
6

  2. emote4d-websiteemote4d-websitePublic
    Astro
  3. dynamic-4d-vision-reconstructiondynamic-4d-vision-reconstructionPublic
    
Dynamic 4D Vision Reconstruction - Reconstructing dynamic 4D scenes (3D geometry + time) from 2D videos using NeRF and 3D Gaussian Splatting. Progresses from static 3D reconstruction to real-time d…

    Jupyter Notebook
  4. themultivac/themultivac.github.iothemultivac/themultivac.github.ioPublic
    HTML

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
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function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
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} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
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Yash2378/README.md
Readme · MD
Yash Darji
Full stack engineer. I build software that handles other people's money and personal data, and I run it in production.
The Multivac
An independent LLM evaluation platform I built and operate end to end. Live at app.themultivac.com.
Next.js 15 App Router, React 19 and TypeScript on the front. FastAPI with async SQLAlchemy and asyncpg behind it. Neon Postgres and Upstash Redis underneath, deployed on Vercel through GitHub Actions. Multi vendor model routing, server sent event streaming, JWT and JWKS auth, sliding window rate limiting on SHA-256 hashed IPs.
The application is closed source. The evaluation engine and the full dataset are MIT licensed at themultivac/multivac-evaluation.
The research: a blind peer matrix evaluation of 55 frontier models, 27,540 model to model judgments across 198 questions. The finding I care about most is that every peer judge scored a functionally broken concurrency fix a perfect 10, and executing it showed that fix failing 25 of 25 stress trials. Looking correct and being correct diverge exactly where it matters.
Preprint self hosted. I later audited my own published results adversarially and reported several of them down, including a refusal rate that did not survive correct classification of empty responses. The methodological claim held. Some of the labels did not.
EMOTE4D
Privacy first fall detection for eldercare, running entirely on device with no cloud dependency. Raw frames are discarded immediately after landmark extraction, so only skeleton coordinates persist and privacy is a structural property rather than a policy.
Python, MediaPipe, scikit-learn. Two stage detector at 83.3% recall and 97.5% specificity on a 200 clip cross person set, 21.3 FPS on a Raspberry Pi 5. Private repo, site at emote4d-website.
Client work
Since 2023 I have delivered client software under contract. Most of it is Lodge Nexus, a commercial cloud hotel property management platform built from scratch with one other engineer and live in production across six properties. Laravel and PHP, Angular and TypeScript, MySQL, Docker, promoted through staging with unit tests before anything reaches live.
I found raw card data being collected in a live payment flow there, implemented encryption for it, and built the audit and authentication logging around it. Closed source.
Stack: Python · TypeScript · PHP · FastAPI · Laravel · React · Next.js · Angular · PostgreSQL · MySQL · Redis · Docker · AWS
Links:themultivac.com · app.themultivac.com · linkedin.com/in/yash-darji-363009296

Pinned
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  1. themultivac/multivac-evaluationthemultivac/multivac-evaluationPublic
    Python
6

  2. emote4d-websiteemote4d-websitePublic
    Astro
  3. dynamic-4d-vision-reconstructiondynamic-4d-vision-reconstructionPublic
    
Dynamic 4D Vision Reconstruction - Reconstructing dynamic 4D scenes (3D geometry + time) from 2D videos using NeRF and 3D Gaussian Splatting. Progresses from static 3D reconstruction to real-time d…

    Jupyter Notebook
  4. themultivac/themultivac.github.iothemultivac/themultivac.github.ioPublic
    HTML

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

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Yash2378/README.md
Readme · MD
Yash Darji
Full stack engineer. I build software that handles other people's money and personal data, and I run it in production.
The Multivac
An independent LLM evaluation platform I built and operate end to end. Live at app.themultivac.com.
Next.js 15 App Router, React 19 and TypeScript on the front. FastAPI with async SQLAlchemy and asyncpg behind it. Neon Postgres and Upstash Redis underneath, deployed on Vercel through GitHub Actions. Multi vendor model routing, server sent event streaming, JWT and JWKS auth, sliding window rate limiting on SHA-256 hashed IPs.
The application is closed source. The evaluation engine and the full dataset are MIT licensed at themultivac/multivac-evaluation.
The research: a blind peer matrix evaluation of 55 frontier models, 27,540 model to model judgments across 198 questions. The finding I care about most is that every peer judge scored a functionally broken concurrency fix a perfect 10, and executing it showed that fix failing 25 of 25 stress trials. Looking correct and being correct diverge exactly where it matters.
Preprint self hosted. I later audited my own published results adversarially and reported several of them down, including a refusal rate that did not survive correct classification of empty responses. The methodological claim held. Some of the labels did not.
EMOTE4D
Privacy first fall detection for eldercare, running entirely on device with no cloud dependency. Raw frames are discarded immediately after landmark extraction, so only skeleton coordinates persist and privacy is a structural property rather than a policy.
Python, MediaPipe, scikit-learn. Two stage detector at 83.3% recall and 97.5% specificity on a 200 clip cross person set, 21.3 FPS on a Raspberry Pi 5. Private repo, site at emote4d-website.
Client work
Since 2023 I have delivered client software under contract. Most of it is Lodge Nexus, a commercial cloud hotel property management platform built from scratch with one other engineer and live in production across six properties. Laravel and PHP, Angular and TypeScript, MySQL, Docker, promoted through staging with unit tests before anything reaches live.
I found raw card data being collected in a live payment flow there, implemented encryption for it, and built the audit and authentication logging around it. Closed source.
Stack: Python · TypeScript · PHP · FastAPI · Laravel · React · Next.js · Angular · PostgreSQL · MySQL · Redis · Docker · AWS
Links:themultivac.com · app.themultivac.com · linkedin.com/in/yash-darji-363009296

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  1. themultivac/multivac-evaluationthemultivac/multivac-evaluationPublic
    Python
6

  2. emote4d-websiteemote4d-websitePublic
    Astro
  3. dynamic-4d-vision-reconstructiondynamic-4d-vision-reconstructionPublic
    
Dynamic 4D Vision Reconstruction - Reconstructing dynamic 4D scenes (3D geometry + time) from 2D videos using NeRF and 3D Gaussian Splatting. Progresses from static 3D reconstruction to real-time d…

    Jupyter Notebook
  4. themultivac/themultivac.github.iothemultivac/themultivac.github.ioPublic
    HTML

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

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Yash2378/README.md
Readme · MD
Yash Darji
Full stack engineer. I build software that handles other people's money and personal data, and I run it in production.
The Multivac
An independent LLM evaluation platform I built and operate end to end. Live at app.themultivac.com.
Next.js 15 App Router, React 19 and TypeScript on the front. FastAPI with async SQLAlchemy and asyncpg behind it. Neon Postgres and Upstash Redis underneath, deployed on Vercel through GitHub Actions. Multi vendor model routing, server sent event streaming, JWT and JWKS auth, sliding window rate limiting on SHA-256 hashed IPs.
The application is closed source. The evaluation engine and the full dataset are MIT licensed at themultivac/multivac-evaluation.
The research: a blind peer matrix evaluation of 55 frontier models, 27,540 model to model judgments across 198 questions. The finding I care about most is that every peer judge scored a functionally broken concurrency fix a perfect 10, and executing it showed that fix failing 25 of 25 stress trials. Looking correct and being correct diverge exactly where it matters.
Preprint self hosted. I later audited my own published results adversarially and reported several of them down, including a refusal rate that did not survive correct classification of empty responses. The methodological claim held. Some of the labels did not.
EMOTE4D
Privacy first fall detection for eldercare, running entirely on device with no cloud dependency. Raw frames are discarded immediately after landmark extraction, so only skeleton coordinates persist and privacy is a structural property rather than a policy.
Python, MediaPipe, scikit-learn. Two stage detector at 83.3% recall and 97.5% specificity on a 200 clip cross person set, 21.3 FPS on a Raspberry Pi 5. Private repo, site at emote4d-website.
Client work
Since 2023 I have delivered client software under contract. Most of it is Lodge Nexus, a commercial cloud hotel property management platform built from scratch with one other engineer and live in production across six properties. Laravel and PHP, Angular and TypeScript, MySQL, Docker, promoted through staging with unit tests before anything reaches live.
I found raw card data being collected in a live payment flow there, implemented encryption for it, and built the audit and authentication logging around it. Closed source.
Stack: Python · TypeScript · PHP · FastAPI · Laravel · React · Next.js · Angular · PostgreSQL · MySQL · Redis · Docker · AWS
Links:themultivac.com · app.themultivac.com · linkedin.com/in/yash-darji-363009296

Pinned
Loading
  1. themultivac/multivac-evaluationthemultivac/multivac-evaluationPublic
    Python
6

  2. emote4d-websiteemote4d-websitePublic
    Astro
  3. dynamic-4d-vision-reconstructiondynamic-4d-vision-reconstructionPublic
    
Dynamic 4D Vision Reconstruction - Reconstructing dynamic 4D scenes (3D geometry + time) from 2D videos using NeRF and 3D Gaussian Splatting. Progresses from static 3D reconstruction to real-time d…

    Jupyter Notebook
  4. themultivac/themultivac.github.iothemultivac/themultivac.github.ioPublic
    HTML