$ 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: 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¦ 398.2 kB Used in GitHub's Storage
π 381 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 03.88 %
π Daytime 324 commits βββββββββββββββββββββββββ 14.46 %
π Evening 1240 commits βββββββββββββββββββββββββ 55.33 %
π Night 590 commits βββββββββββββββββββββββββ 26.33 %
π I'm Most Productive on Thursday
Monday 298 commits βββββββββββββββββββββββββ 13.30 %
Tuesday 341 commits βββββββββββββββββββββββββ 15.22 %
Wednesday 297 commits βββββββββββββββββββββββββ 13.25 %
Thursday 385 commits βββββββββββββββββββββββββ 17.18 %
Friday 344 commits βββββββββββββββββββββββββ 15.35 %
Saturday 208 commits βββββββββββββββββββββββββ 09.28 %
Sunday 368 commits βββββββββββββββββββββββββ 16.42 %
π This Week I Spent My Time On
ποΈ Time Zone: Asia/Kolkata
π¬ Programming Languages:
Markdown 13 hrs 8 mins βββββββββββββββββββββββββ 35.77 %
MDX 5 hrs 57 mins βββββββββββββββββββββββββ 16.21 %
TypeScript 5 hrs 16 mins βββββββββββββββββββββββββ 14.35 %
JavaScript 4 hrs 58 mins βββββββββββββββββββββββββ 13.55 %
Other 4 hrs 16 mins βββββββββββββββββββββββββ 11.65 %
π₯ Editors:
VS Code 36 hrs 22 mins βββββββββββββββββββββββββ 99.01 %
Opencode Cli 21 mins βββββββββββββββββββββββββ 00.99 %
π±βπ» Projects:
ai-journey 25 hrs 15 mins βββββββββββββββββββββββββ 68.72 %
chatbot-backend 9 hrs 7 mins βββββββββββββββββββββββββ 24.83 %
chatbot-frontend 2 hrs 22 mins βββββββββββββββββββββββββ 06.45 %
vipulpathak113 0 secs βββββββββββββββββββββββββ 00.00 %
π» Operating System:
Mac 36 hrs 44 mins βββββββββββββββββββββββββ 100.00 %
π€ AI Coding This Week
β± AI Coding Time: 36 hrs 10 mins (98.47%)
βοΈ 8,493 lines written by AI, 163 lines written by hand (98.12% AI-written)
π€ 53,754,635 Input Tokens, 1,808,758 Output Tokens
π΅ $2649.08 Estimated AI Cost This Week
π§ 163 AI Sessions, 499 AI Prompts
Opencode-Cli 7,962 lines βββββββββββββββββββββββββ 83.78 %
Deepseek 776 lines βββββββββββββββββββββββββ 08.16 %
Spark 690 lines βββββββββββββββββββββββββ 07.26 %
Mimo 68 lines βββββββββββββββββββββββββ 00.72 %
Gemini 8 lines βββββββββββββββββββββββββ 00.08 %
π AI Coding Insights:
π€ AI-Driven β 98.12% of written lines came from AI
π Detailed Prompter β average 1,202 characters per prompt
π Iterative Prompter β average 3 prompts per session
π High AI Trust β 1.92% 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 31/08/2026 04:09:53 UTC





