$ 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
537+ hrs of code time Β· 6.85M lines written Β· 100% AI co-authored Β· humor module: enabledEverything below is pulled straight from my public repos β no vaporware badges. π
π€ LLM Orchestration
π RAG & Vector Search
π¬ Classic ML / DL
π οΈ AI App Tooling
π» My AI copilots (per WakaTime, I'm ~99% AI co-authored π )
π $ 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 π | Active build β LLM assistant service + React client | LangGraph LLMs React |
| ai-journey π | GenAI experiments, notes & model playground | Python |
| chatbot-backend + chatbot-frontend π | Active build β LLM assistant service + React client | LangGraph LLMs React |
| ai-journey π | GenAI experiments, notes & model playground | Python |
| 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 |
π‘ stats below are generated inside this repo by GitHub Actions β no flaky third-party services.
π± My GitHub Data
π¦ 398.8 kB Used in GitHub's Storage
π 507 Contributions in the Year 2026
πΌ Opted to Hire
π 87 Public Repositories
π 4 Private Repositories
I'm a Night π¦
π Morning 87 commits βββββββββββββββββββββββββ 02.20 %
π Daytime 671 commits βββββββββββββββββββββββββ 16.97 %
π Evening 2426 commits βββββββββββββββββββββββββ 61.36 %
π Night 770 commits βββββββββββββββββββββββββ 19.47 %
π I'm Most Productive on Sunday
Monday 532 commits βββββββββββββββββββββββββ 13.45 %
Tuesday 510 commits βββββββββββββββββββββββββ 12.90 %
Wednesday 542 commits βββββββββββββββββββββββββ 13.71 %
Thursday 595 commits βββββββββββββββββββββββββ 15.05 %
Friday 513 commits βββββββββββββββββββββββββ 12.97 %
Saturday 400 commits βββββββββββββββββββββββββ 10.12 %
Sunday 862 commits βββββββββββββββββββββββββ 21.80 %
π This Week I Spent My Time On
ποΈ Time Zone: Asia/Kolkata
π¬ Programming Languages:
Other 7 hrs 36 mins βββββββββββββββββββββββββ 69.08 %
MDX 1 hr 34 mins βββββββββββββββββββββββββ 14.29 %
Markdown 1 hr 10 mins βββββββββββββββββββββββββ 10.67 %
JavaScript 35 mins βββββββββββββββββββββββββ 05.42 %
TypeScript 3 mins βββββββββββββββββββββββββ 00.54 %
π₯ Editors:
VS Code 9 hrs 42 mins βββββββββββββββββββββββββ 88.14 %
Codex Vscode 1 hr 18 mins βββββββββββββββββββββββββ 11.86 %
π±βπ» Projects:
ai-journey 11 hrs 1 min βββββββββββββββββββββββββ 100.00 %
vipulpathak113 0 secs βββββββββββββββββββββββββ 00.00 %
π» Operating System:
Mac 11 hrs 1 min βββββββββββββββββββββββββ 100.00 %
π€ AI Coding This Week
β± AI Coding Time: 11 hrs 1 min (99.99%)
βοΈ 124 lines written by AI, 0 lines written by hand (100.0% AI-written)
π€ 2,385,641 Input Tokens, 188,066 Output Tokens
π΅ $42.41 Estimated AI Cost This Week
π§ 56 AI Sessions, 189 AI Prompts
GPT 74 lines βββββββββββββββββββββββββ 58.27 %
Codex-Vscode 53 lines βββββββββββββββββββββββββ 41.73 %
π AI Coding Insights:
π€ AI-Driven β 100.0% of written lines came from AI
π Verbose Prompter β average 25,507 characters per prompt
π Iterative Prompter β average 3 prompts per session
π High AI Trust β 0.0% of changed lines were hand-edited
I Mostly Code in JavaScript
JavaScript 39 repos βββββββββββββββββββββββββ 47.56 %
TypeScript 19 repos βββββββββββββββββββββββββ 23.17 %
Python 7 repos βββββββββββββββββββββββββ 08.54 %
Jupyter Notebook 5 repos βββββββββββββββββββββββββ 06.10 %
MDX 1 repo βββββββββββββββββββββββββ 01.22 %
Timeline
Last Updated on 12/10/2026 04:46:11 UTC





