I build things that solve problems — sometimes polished, sometimes experimental.
I follow my curiosity: apps, libraries, automations, infra, browser extensions, ML/AI experiments, and data tooling.
- 🔭 What I build: production apps, small utilities, automations, libraries, infra scripts, browser extensions, data tools, and ML/AI experiments.
- 🌱 Experience & focus areas: deep learning (ResNet and CNN-based models), NLP pipelines, computer vision (classification, detection, preprocessing with OpenCV), transfer learning, PyTorch/TensorFlow workflows, model serving and small web apps (FastAPI/Streamlit).
- 👯 Open to: collaborations across frontend, backend, data, automation, and ML/AI projects.
- 💬 Ask me about: Python, JavaScript, APIs, automation, model training & evaluation, transfer learning, and deploying small ML services.
- 🛍️ smart-shopper-ai — Python ML + app structure: models, notebooks, and a demo-ready layout. Good example of taking data → model → simple app.
- 📄 Chatpdf — Client-side PDF/web utility (jsPDF & html2canvas). Example of frontend tooling and file-export UX.
- 💰 Investment-Management- — Python scripts + datasets for portfolio & crypto/mutual-fund analysis. Shows data processing and analysis tooling.
- 🔧 Focus-Pulse (Private Demo) — Chrome extension for focus/time tracking with charting. Can demo or extract a public demo on request.
A few more projects and automation experiments I maintain:
- Shubham-binance-bot (private) — trading automation and scripts (Python).
- Pdf (private) — HTML/JS PDF helper/extension.
- AI_agent (private) — modular Python agent and utility functions.
