AI & Data Science undergraduate @ KJ Somaiya Institute of Technology Β· Mumbai, India
Second-year undergrad who ships real products β a live SaaS platform, a FinBERT-powered trading engine, and a production Windows desktop app, all as solo projects. Currently seeking Software Engineering or AI/ML internships where I can contribute immediately.
π OriginEats
Full-stack SaaS platform for restaurant market intelligence β live on Vercel
- Built GeoJSON-powered restaurant density heatmaps across Mumbai's 24 wards, indexing 500+ data points to surface competitor density and market opportunity layers
- Engineered a rule-based AI recommendation engine scoring venture success probability by analysing location demand, competitor pricing, and cuisine trends
- Deployed end-to-end with authentication, subscription lifecycle management, UPI integration, coupon system, and real-time data queries
React Vite Supabase GeoJSON Tailwind CSS
π StockPulse
Multi-signal trading intelligence system
- Architected a signal fusion system combining FinBERT sentiment (30%), technical indicators RSI/MACD/Bollinger Bands (25%), and Polymarket crowd data (45%) into BUY/SELL/HOLD verdicts with 0β1 confidence scoring
- Designed 5 FastAPI REST endpoints with TTL caching for OHLCV history, indicators, and Polymarket data
- Built interactive Plotly dashboards with candlestick/area/line charts overlaid with SMA 7/21/50, Bollinger Bands, and volume coloring
FastAPI Streamlit FinBERT Plotly Pandas yfinance
β‘ Synapse
Production Windows desktop app β universal productivity launcher
- Built a keyboard-centric launcher with real-time search, AI integrations, clipboard manager, OCR, and system controls enabling seamless multitasking
- Integrated high-performance file search using Voidtools "Everything" SDK with smart filtering, categorized results, and debouncing
- Developed advanced window management (tiling, layouts, multi-monitor support, hotkeys) using PyQt6 and native Windows APIs
PyQt6 Win32 API pywin32 ctypes PyInstaller
Built to solve real workflow inefficiencies in a family business
- Identified manual booking bottlenecks from direct operational experience; automated end-to-end courier booking, billing, and record management
- Implemented advanced SQL filtering (ILIKE, date ranges), CSV/Excel export, thermal printer integration, and real-time autocomplete for sender/receiver lookup
Python Tkinter PostgreSQL Supabase
Technical author at The Global Delta β writing beginner-friendly articles on programming concepts and applied AI for a developer audience.
Open to internship opportunities in Software Engineering and AI/ML β feel free to reach out!

