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Vishvam10/README.md

Hi, I’m Vishvam 👋

I’m an ML Engineer with ~3 years of experience, focused on ML systems, backend engineering, and LLMs. I enjoy shipping real systems, exploring library internals, and tinkering with new languages and homelab setups. Ask me about ML, python, web dev and anime

A Bit About My Work

  • Built and kept backend services alive for AI/ML products, getting my hands dirty with LLMs : fine-tuning, evaluating, and poking them until they behaved
  • Designed (and implemented) a scalable, microservice-based AI/ML platform with gRPC and REST APIs, complete with granular rate limiting, auth, analytics and cost tracking

How To Reach Me

LinkedinGmail

My Tech Stack

Programming Languages
👉 Proficient

PythonCC++TypeScript

👉 Familiar / Learning

GoJava
Machine Learning
👉 Core ML

NumpyPandasScikit-LearnMatplotlibPyTorchOpenCVHuggingFaceJupyter NotebookStreamlit

👉 GenAI

LangChainLanGraphOllama

👉 Others :

  • Libraries : Librosa, Gym (RL), TRL, Unsloth
  • Pipelines : RAG (Naive, Advanced, Multimodal, Graph), LLM Finetuning, LLM Evals
Backend

FastAPIFlaskGunicornNestJSExpress.jsNode.jsSocket.io
Databases / Datastores

MongoDBPostgreSQLSurrealDBSQLiteRedisElastic
Frontend
👉 Markup, Templating and Styling

HTML5CSS3SASSTailwindCSSShadCNMarkdownLaTeXPug TemplateJinja Template

👉 JavaScript Frameworks

jQueryReactReact RouterVueRedux

👉 Libraries

p5.jsChart.js
Testing and Automation

JestSelenium
Others
👉 Text Editors and IDEs

GitGitHubVisual Studio CodeZed

👉 Development Tools

PostmanInsomniaSwagger

👉 Version Control, Deployment and Cloud-Related Tools

HerokuNetlifyVercelGoogle Cloud Platform

👉 Productivity Tools

JiraNotion

Pinned Loading

  1. neurogcneurogcPublic

    NeuroGC is an experimental system that models application behavior using deep learning to proactively schedule Python garbage collection, reducing latency spikes and memory pressure.

    Python 1

  2. nanoscriptnanoscriptPublic

    A minimalist programming language created from scratch using pure Python without PLY or PyBison.

    Python 1

  3. ml-from-scratchml-from-scratchPublic

    A simple guide that contains manual implementations of machine learning and computer vision algorithms. It includes numpy, pandas, sklearn, opencv and pytorch.

    Jupyter Notebook 3

  4. proximaproximaPublic

    A high-performance C++17 implementation of the Hierarchical Navigable Small World (HNSW) algorithm for approximate nearest neighbor search, with Python bindings and SIMD-optimized search

    C++ 1

  5. lora-beyond-llmslora-beyond-llmsPublic

    This small experiments applies Low-Rank Adaptation (LoRA) to a simple CNN trained on MNIST, then adapts it to EMNIST to test whether lightweight low-rank updates can transfer handwritten digit kno…

    Python 1

  6. dsa-and-stuffdsa-and-stuffPublic

    A collection of DSA and competitive programming problems I've solved (or tried very convincingly to solve). Mostly C++ and Python, occasionally Go, and rarely Rust when the stars align.

    C++ 1

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Vishvam10 (Vishvam) · GitHub
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Achievements
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Vishvam10/README.md
Hi, I’m Vishvam 👋
I’m an ML Engineer with ~3 years of experience, focused on ML systems, backend engineering, and LLMs.
I enjoy shipping real systems, exploring library internals, and tinkering with new languages and homelab setups.
Ask me about ML, python, web dev and anime
A Bit About My Work
  • Built and kept backend services alive for AI/ML products, getting my hands dirty with LLMs : fine-tuning, evaluating, and poking them until they behaved
  • Designed (and implemented) a scalable, microservice-based AI/ML platform with gRPC and REST APIs, complete with granular rate limiting, auth, analytics and cost tracking
How To Reach Me
LinkedinGmail
My Tech Stack
Programming Languages
👉 Proficient

PythonCC++TypeScript

👉 Familiar / Learning

GoJava
Machine Learning
👉 Core ML

NumpyPandasScikit-LearnMatplotlibPyTorchOpenCVHuggingFaceJupyter NotebookStreamlit

👉 GenAI

LangChainLanGraphOllama

👉 Others : 

  • Libraries : Librosa, Gym (RL), TRL, Unsloth
  • Pipelines : RAG (Naive, Advanced, Multimodal, Graph), LLM Finetuning, LLM Evals
Backend

FastAPIFlaskGunicornNestJSExpress.jsNode.jsSocket.io
Databases / Datastores

MongoDBPostgreSQLSurrealDBSQLiteRedisElastic
Frontend
👉 Markup, Templating and Styling

HTML5CSS3SASSTailwindCSSShadCNMarkdownLaTeXPug TemplateJinja Template

👉 JavaScript Frameworks

jQueryReactReact RouterVueRedux

👉 Libraries

p5.jsChart.js
Testing and Automation

JestSelenium
Others
👉 Text Editors and IDEs

GitGitHubVisual Studio CodeZed

👉 Development Tools

PostmanInsomniaSwagger

👉 Version Control, Deployment and Cloud-Related Tools

HerokuNetlifyVercelGoogle Cloud Platform

👉 Productivity Tools

JiraNotion

Pinned
Loading
  1. neurogcneurogcPublic
    
NeuroGC is an experimental system that models application behavior using deep learning to proactively schedule Python garbage collection, reducing latency spikes and memory pressure.

    Python
1

  2. nanoscriptnanoscriptPublic
    
A minimalist programming language created from scratch using pure Python without PLY or PyBison.

    Python
1

  3. ml-from-scratchml-from-scratchPublic
    
A simple guide that contains manual implementations of machine learning and computer vision algorithms. It includes numpy, pandas, sklearn, opencv and pytorch.

    Jupyter Notebook
3

  4. proximaproximaPublic
    
A high-performance C++17 implementation of the Hierarchical Navigable Small World (HNSW) algorithm for approximate nearest neighbor search, with Python bindings and SIMD-optimized search

    C++
1

  5. lora-beyond-llmslora-beyond-llmsPublic
    
This small experiments applies Low-Rank Adaptation (LoRA) to a simple CNN trained on MNIST, then adapts it to EMNIST to test whether lightweight low-rank updates can transfer handwritten digit kno…

    Python
1

  6. dsa-and-stuffdsa-and-stuffPublic
    
A collection of DSA and competitive programming problems I've solved (or tried very convincingly to solve). Mostly C++ and Python, occasionally Go, and rarely Rust when the stars align.

    C++
1


, 'i');
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Vishvam10 (Vishvam) · GitHub
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114
followers
 · 1.2k
following

Achievements
Achievement: Pull Sharkx3Achievement: Quickdraw
Achievements
Achievement: Pull Sharkx3Achievement: Quickdraw

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Vishvam10/README.md
Hi, I’m Vishvam 👋
I’m an ML Engineer with ~3 years of experience, focused on ML systems, backend engineering, and LLMs.
I enjoy shipping real systems, exploring library internals, and tinkering with new languages and homelab setups.
Ask me about ML, python, web dev and anime
A Bit About My Work
  • Built and kept backend services alive for AI/ML products, getting my hands dirty with LLMs : fine-tuning, evaluating, and poking them until they behaved
  • Designed (and implemented) a scalable, microservice-based AI/ML platform with gRPC and REST APIs, complete with granular rate limiting, auth, analytics and cost tracking
How To Reach Me
LinkedinGmail
My Tech Stack
Programming Languages
👉 Proficient

PythonCC++TypeScript

👉 Familiar / Learning

GoJava
Machine Learning
👉 Core ML

NumpyPandasScikit-LearnMatplotlibPyTorchOpenCVHuggingFaceJupyter NotebookStreamlit

👉 GenAI

LangChainLanGraphOllama

👉 Others : 

  • Libraries : Librosa, Gym (RL), TRL, Unsloth
  • Pipelines : RAG (Naive, Advanced, Multimodal, Graph), LLM Finetuning, LLM Evals
Backend

FastAPIFlaskGunicornNestJSExpress.jsNode.jsSocket.io
Databases / Datastores

MongoDBPostgreSQLSurrealDBSQLiteRedisElastic
Frontend
👉 Markup, Templating and Styling

HTML5CSS3SASSTailwindCSSShadCNMarkdownLaTeXPug TemplateJinja Template

👉 JavaScript Frameworks

jQueryReactReact RouterVueRedux

👉 Libraries

p5.jsChart.js
Testing and Automation

JestSelenium
Others
👉 Text Editors and IDEs

GitGitHubVisual Studio CodeZed

👉 Development Tools

PostmanInsomniaSwagger

👉 Version Control, Deployment and Cloud-Related Tools

HerokuNetlifyVercelGoogle Cloud Platform

👉 Productivity Tools

JiraNotion

Pinned
Loading
  1. neurogcneurogcPublic
    
NeuroGC is an experimental system that models application behavior using deep learning to proactively schedule Python garbage collection, reducing latency spikes and memory pressure.

    Python
1

  2. nanoscriptnanoscriptPublic
    
A minimalist programming language created from scratch using pure Python without PLY or PyBison.

    Python
1

  3. ml-from-scratchml-from-scratchPublic
    
A simple guide that contains manual implementations of machine learning and computer vision algorithms. It includes numpy, pandas, sklearn, opencv and pytorch.

    Jupyter Notebook
3

  4. proximaproximaPublic
    
A high-performance C++17 implementation of the Hierarchical Navigable Small World (HNSW) algorithm for approximate nearest neighbor search, with Python bindings and SIMD-optimized search

    C++
1

  5. lora-beyond-llmslora-beyond-llmsPublic
    
This small experiments applies Low-Rank Adaptation (LoRA) to a simple CNN trained on MNIST, then adapts it to EMNIST to test whether lightweight low-rank updates can transfer handwritten digit kno…

    Python
1

  6. dsa-and-stuffdsa-and-stuffPublic
    
A collection of DSA and competitive programming problems I've solved (or tried very convincingly to solve). Mostly C++ and Python, occasionally Go, and rarely Rust when the stars align.

    C++
1


, 'i');
if (__m === '*' || __re.test(location.href)) {
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var ref = document.referrer;
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})();
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try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
Vishvam10 (Vishvam) · GitHub
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🤟
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114
followers
 · 1.2k
following

Achievements
Achievement: Pull Sharkx3Achievement: Quickdraw
Achievements
Achievement: Pull Sharkx3Achievement: Quickdraw

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Vishvam10/README.md
Hi, I’m Vishvam 👋
I’m an ML Engineer with ~3 years of experience, focused on ML systems, backend engineering, and LLMs.
I enjoy shipping real systems, exploring library internals, and tinkering with new languages and homelab setups.
Ask me about ML, python, web dev and anime
A Bit About My Work
  • Built and kept backend services alive for AI/ML products, getting my hands dirty with LLMs : fine-tuning, evaluating, and poking them until they behaved
  • Designed (and implemented) a scalable, microservice-based AI/ML platform with gRPC and REST APIs, complete with granular rate limiting, auth, analytics and cost tracking
How To Reach Me
LinkedinGmail
My Tech Stack
Programming Languages
👉 Proficient

PythonCC++TypeScript

👉 Familiar / Learning

GoJava
Machine Learning
👉 Core ML

NumpyPandasScikit-LearnMatplotlibPyTorchOpenCVHuggingFaceJupyter NotebookStreamlit

👉 GenAI

LangChainLanGraphOllama

👉 Others : 

  • Libraries : Librosa, Gym (RL), TRL, Unsloth
  • Pipelines : RAG (Naive, Advanced, Multimodal, Graph), LLM Finetuning, LLM Evals
Backend

FastAPIFlaskGunicornNestJSExpress.jsNode.jsSocket.io
Databases / Datastores

MongoDBPostgreSQLSurrealDBSQLiteRedisElastic
Frontend
👉 Markup, Templating and Styling

HTML5CSS3SASSTailwindCSSShadCNMarkdownLaTeXPug TemplateJinja Template

👉 JavaScript Frameworks

jQueryReactReact RouterVueRedux

👉 Libraries

p5.jsChart.js
Testing and Automation

JestSelenium
Others
👉 Text Editors and IDEs

GitGitHubVisual Studio CodeZed

👉 Development Tools

PostmanInsomniaSwagger

👉 Version Control, Deployment and Cloud-Related Tools

HerokuNetlifyVercelGoogle Cloud Platform

👉 Productivity Tools

JiraNotion

Pinned
Loading
  1. neurogcneurogcPublic
    
NeuroGC is an experimental system that models application behavior using deep learning to proactively schedule Python garbage collection, reducing latency spikes and memory pressure.

    Python
1

  2. nanoscriptnanoscriptPublic
    
A minimalist programming language created from scratch using pure Python without PLY or PyBison.

    Python
1

  3. ml-from-scratchml-from-scratchPublic
    
A simple guide that contains manual implementations of machine learning and computer vision algorithms. It includes numpy, pandas, sklearn, opencv and pytorch.

    Jupyter Notebook
3

  4. proximaproximaPublic
    
A high-performance C++17 implementation of the Hierarchical Navigable Small World (HNSW) algorithm for approximate nearest neighbor search, with Python bindings and SIMD-optimized search

    C++
1

  5. lora-beyond-llmslora-beyond-llmsPublic
    
This small experiments applies Low-Rank Adaptation (LoRA) to a simple CNN trained on MNIST, then adapts it to EMNIST to test whether lightweight low-rank updates can transfer handwritten digit kno…

    Python
1

  6. dsa-and-stuffdsa-and-stuffPublic
    
A collection of DSA and competitive programming problems I've solved (or tried very convincingly to solve). Mostly C++ and Python, occasionally Go, and rarely Rust when the stars align.

    C++
1


, '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',
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})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
Vishvam10 (Vishvam) · GitHub
Skip to content
View Vishvam10's full-sized avatar
🤟
that's a love you gesture ?!
🤟
that's a love you gesture ?!
114
followers
 · 1.2k
following

Achievements
Achievement: Pull Sharkx3Achievement: Quickdraw
Achievements
Achievement: Pull Sharkx3Achievement: Quickdraw

Block or report Vishvam10

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Vishvam10/README.md
Hi, I’m Vishvam 👋
I’m an ML Engineer with ~3 years of experience, focused on ML systems, backend engineering, and LLMs.
I enjoy shipping real systems, exploring library internals, and tinkering with new languages and homelab setups.
Ask me about ML, python, web dev and anime
A Bit About My Work
  • Built and kept backend services alive for AI/ML products, getting my hands dirty with LLMs : fine-tuning, evaluating, and poking them until they behaved
  • Designed (and implemented) a scalable, microservice-based AI/ML platform with gRPC and REST APIs, complete with granular rate limiting, auth, analytics and cost tracking
How To Reach Me
LinkedinGmail
My Tech Stack
Programming Languages
👉 Proficient

PythonCC++TypeScript

👉 Familiar / Learning

GoJava
Machine Learning
👉 Core ML

NumpyPandasScikit-LearnMatplotlibPyTorchOpenCVHuggingFaceJupyter NotebookStreamlit

👉 GenAI

LangChainLanGraphOllama

👉 Others : 

  • Libraries : Librosa, Gym (RL), TRL, Unsloth
  • Pipelines : RAG (Naive, Advanced, Multimodal, Graph), LLM Finetuning, LLM Evals
Backend

FastAPIFlaskGunicornNestJSExpress.jsNode.jsSocket.io
Databases / Datastores

MongoDBPostgreSQLSurrealDBSQLiteRedisElastic
Frontend
👉 Markup, Templating and Styling

HTML5CSS3SASSTailwindCSSShadCNMarkdownLaTeXPug TemplateJinja Template

👉 JavaScript Frameworks

jQueryReactReact RouterVueRedux

👉 Libraries

p5.jsChart.js
Testing and Automation

JestSelenium
Others
👉 Text Editors and IDEs

GitGitHubVisual Studio CodeZed

👉 Development Tools

PostmanInsomniaSwagger

👉 Version Control, Deployment and Cloud-Related Tools

HerokuNetlifyVercelGoogle Cloud Platform

👉 Productivity Tools

JiraNotion

Pinned
Loading
  1. neurogcneurogcPublic
    
NeuroGC is an experimental system that models application behavior using deep learning to proactively schedule Python garbage collection, reducing latency spikes and memory pressure.

    Python
1

  2. nanoscriptnanoscriptPublic
    
A minimalist programming language created from scratch using pure Python without PLY or PyBison.

    Python
1

  3. ml-from-scratchml-from-scratchPublic
    
A simple guide that contains manual implementations of machine learning and computer vision algorithms. It includes numpy, pandas, sklearn, opencv and pytorch.

    Jupyter Notebook
3

  4. proximaproximaPublic
    
A high-performance C++17 implementation of the Hierarchical Navigable Small World (HNSW) algorithm for approximate nearest neighbor search, with Python bindings and SIMD-optimized search

    C++
1

  5. lora-beyond-llmslora-beyond-llmsPublic
    
This small experiments applies Low-Rank Adaptation (LoRA) to a simple CNN trained on MNIST, then adapts it to EMNIST to test whether lightweight low-rank updates can transfer handwritten digit kno…

    Python
1

  6. dsa-and-stuffdsa-and-stuffPublic
    
A collection of DSA and competitive programming problems I've solved (or tried very convincingly to solve). Mostly C++ and Python, occasionally Go, and rarely Rust when the stars align.

    C++
1


, 'i');
if (__m === '*' || __re.test(location.href)) {
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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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try {
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Vishvam10 (Vishvam) · GitHub
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Vishvam10/README.md
Hi, I’m Vishvam 👋
I’m an ML Engineer with ~3 years of experience, focused on ML systems, backend engineering, and LLMs.
I enjoy shipping real systems, exploring library internals, and tinkering with new languages and homelab setups.
Ask me about ML, python, web dev and anime
A Bit About My Work
  • Built and kept backend services alive for AI/ML products, getting my hands dirty with LLMs : fine-tuning, evaluating, and poking them until they behaved
  • Designed (and implemented) a scalable, microservice-based AI/ML platform with gRPC and REST APIs, complete with granular rate limiting, auth, analytics and cost tracking
How To Reach Me
LinkedinGmail
My Tech Stack
Programming Languages
👉 Proficient

PythonCC++TypeScript

👉 Familiar / Learning

GoJava
Machine Learning
👉 Core ML

NumpyPandasScikit-LearnMatplotlibPyTorchOpenCVHuggingFaceJupyter NotebookStreamlit

👉 GenAI

LangChainLanGraphOllama

👉 Others : 

  • Libraries : Librosa, Gym (RL), TRL, Unsloth
  • Pipelines : RAG (Naive, Advanced, Multimodal, Graph), LLM Finetuning, LLM Evals
Backend

FastAPIFlaskGunicornNestJSExpress.jsNode.jsSocket.io
Databases / Datastores

MongoDBPostgreSQLSurrealDBSQLiteRedisElastic
Frontend
👉 Markup, Templating and Styling

HTML5CSS3SASSTailwindCSSShadCNMarkdownLaTeXPug TemplateJinja Template

👉 JavaScript Frameworks

jQueryReactReact RouterVueRedux

👉 Libraries

p5.jsChart.js
Testing and Automation

JestSelenium
Others
👉 Text Editors and IDEs

GitGitHubVisual Studio CodeZed

👉 Development Tools

PostmanInsomniaSwagger

👉 Version Control, Deployment and Cloud-Related Tools

HerokuNetlifyVercelGoogle Cloud Platform

👉 Productivity Tools

JiraNotion

Pinned
Loading
  1. neurogcneurogcPublic
    
NeuroGC is an experimental system that models application behavior using deep learning to proactively schedule Python garbage collection, reducing latency spikes and memory pressure.

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A simple guide that contains manual implementations of machine learning and computer vision algorithms. It includes numpy, pandas, sklearn, opencv and pytorch.

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A high-performance C++17 implementation of the Hierarchical Navigable Small World (HNSW) algorithm for approximate nearest neighbor search, with Python bindings and SIMD-optimized search

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  5. lora-beyond-llmslora-beyond-llmsPublic
    
This small experiments applies Low-Rank Adaptation (LoRA) to a simple CNN trained on MNIST, then adapts it to EMNIST to test whether lightweight low-rank updates can transfer handwritten digit kno…

    Python
1

  6. dsa-and-stuffdsa-and-stuffPublic
    
A collection of DSA and competitive programming problems I've solved (or tried very convincingly to solve). Mostly C++ and Python, occasionally Go, and rarely Rust when the stars align.

    C++
1


, 'i');
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
Vishvam10 (Vishvam) · GitHub
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114
followers
 · 1.2k
following

Achievements
Achievement: Pull Sharkx3Achievement: Quickdraw
Achievements
Achievement: Pull Sharkx3Achievement: Quickdraw

Block or report Vishvam10

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Vishvam10/README.md
Hi, I’m Vishvam 👋
I’m an ML Engineer with ~3 years of experience, focused on ML systems, backend engineering, and LLMs.
I enjoy shipping real systems, exploring library internals, and tinkering with new languages and homelab setups.
Ask me about ML, python, web dev and anime
A Bit About My Work
  • Built and kept backend services alive for AI/ML products, getting my hands dirty with LLMs : fine-tuning, evaluating, and poking them until they behaved
  • Designed (and implemented) a scalable, microservice-based AI/ML platform with gRPC and REST APIs, complete with granular rate limiting, auth, analytics and cost tracking
How To Reach Me
LinkedinGmail
My Tech Stack
Programming Languages
👉 Proficient

PythonCC++TypeScript

👉 Familiar / Learning

GoJava
Machine Learning
👉 Core ML

NumpyPandasScikit-LearnMatplotlibPyTorchOpenCVHuggingFaceJupyter NotebookStreamlit

👉 GenAI

LangChainLanGraphOllama

👉 Others : 

  • Libraries : Librosa, Gym (RL), TRL, Unsloth
  • Pipelines : RAG (Naive, Advanced, Multimodal, Graph), LLM Finetuning, LLM Evals
Backend

FastAPIFlaskGunicornNestJSExpress.jsNode.jsSocket.io
Databases / Datastores

MongoDBPostgreSQLSurrealDBSQLiteRedisElastic
Frontend
👉 Markup, Templating and Styling

HTML5CSS3SASSTailwindCSSShadCNMarkdownLaTeXPug TemplateJinja Template

👉 JavaScript Frameworks

jQueryReactReact RouterVueRedux

👉 Libraries

p5.jsChart.js
Testing and Automation

JestSelenium
Others
👉 Text Editors and IDEs

GitGitHubVisual Studio CodeZed

👉 Development Tools

PostmanInsomniaSwagger

👉 Version Control, Deployment and Cloud-Related Tools

HerokuNetlifyVercelGoogle Cloud Platform

👉 Productivity Tools

JiraNotion

Pinned
Loading
  1. neurogcneurogcPublic
    
NeuroGC is an experimental system that models application behavior using deep learning to proactively schedule Python garbage collection, reducing latency spikes and memory pressure.

    Python
1

  2. nanoscriptnanoscriptPublic
    
A minimalist programming language created from scratch using pure Python without PLY or PyBison.

    Python
1

  3. ml-from-scratchml-from-scratchPublic
    
A simple guide that contains manual implementations of machine learning and computer vision algorithms. It includes numpy, pandas, sklearn, opencv and pytorch.

    Jupyter Notebook
3

  4. proximaproximaPublic
    
A high-performance C++17 implementation of the Hierarchical Navigable Small World (HNSW) algorithm for approximate nearest neighbor search, with Python bindings and SIMD-optimized search

    C++
1

  5. lora-beyond-llmslora-beyond-llmsPublic
    
This small experiments applies Low-Rank Adaptation (LoRA) to a simple CNN trained on MNIST, then adapts it to EMNIST to test whether lightweight low-rank updates can transfer handwritten digit kno…

    Python
1

  6. dsa-and-stuffdsa-and-stuffPublic
    
A collection of DSA and competitive programming problems I've solved (or tried very convincingly to solve). Mostly C++ and Python, occasionally Go, and rarely Rust when the stars align.

    C++
1


, 'i');
if (__m === '*' || __re.test(location.href)) {
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var enabled = true;
function applyDarkMode() {
if (!enabled) return;
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style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
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filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
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/* Restore images, videos, iframes, canvas */
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filter: invert(1) hue-rotate(180deg) !important;
}
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[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); }
})();
})();
Vishvam10 (Vishvam) · GitHub
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View Vishvam10's full-sized avatar
🤟
that's a love you gesture ?!
🤟
that's a love you gesture ?!
114
followers
 · 1.2k
following

Achievements
Achievement: Pull Sharkx3Achievement: Quickdraw
Achievements
Achievement: Pull Sharkx3Achievement: Quickdraw

Block or report Vishvam10

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Vishvam10/README.md
Hi, I’m Vishvam 👋
I’m an ML Engineer with ~3 years of experience, focused on ML systems, backend engineering, and LLMs.
I enjoy shipping real systems, exploring library internals, and tinkering with new languages and homelab setups.
Ask me about ML, python, web dev and anime
A Bit About My Work
  • Built and kept backend services alive for AI/ML products, getting my hands dirty with LLMs : fine-tuning, evaluating, and poking them until they behaved
  • Designed (and implemented) a scalable, microservice-based AI/ML platform with gRPC and REST APIs, complete with granular rate limiting, auth, analytics and cost tracking
How To Reach Me
LinkedinGmail
My Tech Stack
Programming Languages
👉 Proficient

PythonCC++TypeScript

👉 Familiar / Learning

GoJava
Machine Learning
👉 Core ML

NumpyPandasScikit-LearnMatplotlibPyTorchOpenCVHuggingFaceJupyter NotebookStreamlit

👉 GenAI

LangChainLanGraphOllama

👉 Others : 

  • Libraries : Librosa, Gym (RL), TRL, Unsloth
  • Pipelines : RAG (Naive, Advanced, Multimodal, Graph), LLM Finetuning, LLM Evals
Backend

FastAPIFlaskGunicornNestJSExpress.jsNode.jsSocket.io
Databases / Datastores

MongoDBPostgreSQLSurrealDBSQLiteRedisElastic
Frontend
👉 Markup, Templating and Styling

HTML5CSS3SASSTailwindCSSShadCNMarkdownLaTeXPug TemplateJinja Template

👉 JavaScript Frameworks

jQueryReactReact RouterVueRedux

👉 Libraries

p5.jsChart.js
Testing and Automation

JestSelenium
Others
👉 Text Editors and IDEs

GitGitHubVisual Studio CodeZed

👉 Development Tools

PostmanInsomniaSwagger

👉 Version Control, Deployment and Cloud-Related Tools

HerokuNetlifyVercelGoogle Cloud Platform

👉 Productivity Tools

JiraNotion

Pinned
Loading
  1. neurogcneurogcPublic
    
NeuroGC is an experimental system that models application behavior using deep learning to proactively schedule Python garbage collection, reducing latency spikes and memory pressure.

    Python
1

  2. nanoscriptnanoscriptPublic
    
A minimalist programming language created from scratch using pure Python without PLY or PyBison.

    Python
1

  3. ml-from-scratchml-from-scratchPublic
    
A simple guide that contains manual implementations of machine learning and computer vision algorithms. It includes numpy, pandas, sklearn, opencv and pytorch.

    Jupyter Notebook
3

  4. proximaproximaPublic
    
A high-performance C++17 implementation of the Hierarchical Navigable Small World (HNSW) algorithm for approximate nearest neighbor search, with Python bindings and SIMD-optimized search

    C++
1

  5. lora-beyond-llmslora-beyond-llmsPublic
    
This small experiments applies Low-Rank Adaptation (LoRA) to a simple CNN trained on MNIST, then adapts it to EMNIST to test whether lightweight low-rank updates can transfer handwritten digit kno…

    Python
1

  6. dsa-and-stuffdsa-and-stuffPublic
    
A collection of DSA and competitive programming problems I've solved (or tried very convincingly to solve). Mostly C++ and Python, occasionally Go, and rarely Rust when the stars align.

    C++
1