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vipulpathak113/README.md

πŸ’» $ whoami

$ whoami
vipul --frontend-engineer --genai-builder

$ cat ~/about.md
> Frontend engineer who fell down the LLM rabbit hole β€” and stayed.
> Building agents, MCP servers and RAG pipelines that actually ship.
> Believes chatbots deserve good UX too.

$ uptime --fun
362+ hrs of code time Β· 6.23M lines written Β· 98% AI co-authored Β· humor module: enabled

neural net firing

🧠 $ pip list | grep -iE "ai|llm"

Everything below is pulled straight from my public repos β€” no vaporware badges. πŸ™‚

πŸ€– LLM Orchestration

LangChain LangGraph LangSmith MCP OpenAI Hugging Face

πŸ”Ž RAG & Vector Search

FAISS sqlite-vec Sentence Transformers Tiktoken

πŸ”¬ Classic ML / DL

PyTorch Transformers scikit-learn TensorFlow.js ML5.js

πŸ› οΈ AI App Tooling

Streamlit Pandas NumPy Jupyter

πŸ‘» My AI copilots (per WakaTime, I'm ~99% AI co-authored πŸ˜…)

DeepSeek OpenCode CLI

concepts: Autonomous Agents Human-in-the-loop Memory_%20Persistence Tool Calling RAG Prompt Engineering NLP Embeddings

πŸ“‚ $ ls ~/shipped-with-ai/ β€” receipts, not vibes
Build What it does Powered by
langgraph-chatbot Chatbot with memory, human-in-the-loop & persistence LangGraph LangChain MCP sqlite-vec
expense-tracker-mcp-server Track expenses conversationally over MCP Python MCP
MedicalAIBot Medical Q&A bot grounded with RAG LangChain FAISS HuggingFace
restaurantName-lang-chain Restaurant name + menu generator LangChain HuggingFace
tensorFlow Handwritten digit recognition (MNIST) TensorFlow.js
Object-Detection Live object detection in the browser COCO-SSD TF.js React
Image-Classification MobileNet image classifier ML5.js
chatbot-backend + chatbot-frontend πŸ”’ Active build β€” LLM assistant service + React client LangGraph LLMs React
ai-journey πŸ”’ GenAI experiments, notes & model playground Python
chatbot-backend + chatbot-frontend πŸ”’ Active build β€” LLM assistant service + React client LangGraph LLMs React
ai-journey πŸ”’ GenAI experiments, notes & model playground Python

πŸ“¦ $ tree ~/stack/

βš›οΈ frontend/ β€” where the pixels obey me

React Next.js Redux React Query Zustand Tailwind CSS Styled Components GraphQL React Router Module Federation

πŸ§ͺ testing-&-build/ β€” trust, but verify (with Jest)

Jest Testing Library Storybook Vite Webpack ESLint Prettier npm

πŸ—„οΈ backend/ β€” REST easy, my APIs have you covered

Node.js Express NestJS Django Django REST MongoDB JWT SQLAlchemy SQLite

πŸ“± mobile/ β€” one JS codebase, many rectangles

React Native Expo Firebase

☁️ cloud-&-devops/ β€” it works on my cluster

AWS Kubernetes GitHub Actions Git

πŸ”€ languages/

TypeScript JavaScript Python HTML5 CSS3


πŸš€ $ git log --oneline --featured

Repo What it does Stack
langgraph-chatbot Agent with memory, human-in-the-loop & persistence LangGraph LangChain MCP
expense-tracker-mcp-server Expenses, but make them conversational Python MCP
MedicalAIBot Medical Q&A with retrieval-grounded answers FAISS HF Streamlit
shopping-mfe E-commerce split into micro-frontends (+ cart/product/about siblings) React Module Federation
react-unit-testing ⭐ Jest + RTL patterns that made testing click Jest RTL
FrontendInterviewQuestions ⭐ Frontend interview bank, community-approved JavaScript
vscode-portfolio My portfolio disguised as a VS Code window React
set-state-callback Published npm package β€” setState callback ergonomics for hooks npm React
react-accessibility Live accessibility best-practices reference site TypeScript A11y

πŸ“Š $ htop --sort-key=PANACHE

πŸ’‘ stats below are generated inside this repo by GitHub Actions β€” no flaky third-party services.

GitHub stats Repos per language
Productive time Most committed languages
Streak stats
πŸ™οΈ $ open ~/profile-city.dae β€” my contributions as a 3D city
3D contribution graph

🐍 $ ./snake --eat=my-contributions

Contribution snake animation

⏱️ $ tail -f /var/log/dev-metrics.log

Code Time

AI Code Time

Profile Views

Lines of code

🐱 My GitHub Data

πŸ“¦ 398.2 kB Used in GitHub's Storage

πŸ† 381 Contributions in the Year 2026

πŸ’Ό Opted to Hire

πŸ“œ 87 Public Repositories

πŸ”‘ 4 Private Repositories

I'm a Night πŸ¦‰

🌞 Morning                87 commits          β–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   03.88 % 
πŸŒ† Daytime                324 commits         β–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   14.46 % 
πŸŒƒ Evening                1240 commits        β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   55.33 % 
πŸŒ™ Night                  590 commits         β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   26.33 % 

πŸ“… I'm Most Productive on Thursday

Monday                   298 commits         β–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   13.30 % 
Tuesday                  341 commits         β–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   15.22 % 
Wednesday                297 commits         β–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   13.25 % 
Thursday                 385 commits         β–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   17.18 % 
Friday                   344 commits         β–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   15.35 % 
Saturday                 208 commits         β–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   09.28 % 
Sunday                   368 commits         β–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   16.42 % 

πŸ“Š This Week I Spent My Time On

πŸ•‘οΈŽ Time Zone: Asia/Kolkata

πŸ’¬ Programming Languages: 
Markdown                 13 hrs 8 mins       β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   35.77 % 
MDX                      5 hrs 57 mins       β–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   16.21 % 
TypeScript               5 hrs 16 mins       β–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   14.35 % 
JavaScript               4 hrs 58 mins       β–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   13.55 % 
Other                    4 hrs 16 mins       β–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   11.65 % 

πŸ”₯ Editors: 
VS Code                  36 hrs 22 mins      β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ   99.01 % 
Opencode Cli             21 mins             β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   00.99 % 

πŸ±β€πŸ’» Projects: 
ai-journey               25 hrs 15 mins      β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   68.72 % 
chatbot-backend          9 hrs 7 mins        β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   24.83 % 
chatbot-frontend         2 hrs 22 mins       β–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   06.45 % 
vipulpathak113           0 secs              β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   00.00 % 

πŸ’» Operating System: 
Mac                      36 hrs 44 mins      β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ   100.00 % 

πŸ€– AI Coding This Week

⏱ AI Coding Time: 36 hrs 10 mins (98.47%)

✍️ 8,493 lines written by AI, 163 lines written by hand (98.12% AI-written)

πŸ”€ 53,754,635 Input Tokens, 1,808,758 Output Tokens

πŸ’΅ $2649.08 Estimated AI Cost This Week

🧠 163 AI Sessions, 499 AI Prompts

Opencode-Cli             7,962 lines         β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘   83.78 % 
Deepseek                 776 lines           β–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   08.16 % 
Spark                    690 lines           β–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   07.26 % 
Mimo                     68 lines            β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   00.72 % 
Gemini                   8 lines             β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   00.08 % 

πŸ”Ž AI Coding Insights:
πŸ€– AI-Driven β€” 98.12% of written lines came from AI
πŸ“„ Detailed Prompter β€” average 1,202 characters per prompt
πŸ” Iterative Prompter β€” average 3 prompts per session
πŸš€ High AI Trust β€” 1.92% of changed lines were hand-edited

I Mostly Code in JavaScript

JavaScript               39 repos            β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   47.56 % 
TypeScript               19 repos            β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   23.17 % 
Python                   7 repos             β–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   08.54 % 
Jupyter Notebook         5 repos             β–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   06.10 % 
MDX                      1 repo              β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   01.22 % 

Timeline

Lines of Code chart

Last Updated on 31/08/2026 04:09:53 UTC


πŸ’¬ $ fortune | cowsay

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Vipul Pathak's Dev Card



$ git commit -m "thanks for scrolling ✨"

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