From Nepal — where I fixed bicycle chains before I ever touched a computer — to building trading platforms, automating infrastructure, and shipping a physical robot in Toronto. I picked up coding at 13 with a QBasic book, co-founded a startup during COVID, interned at TTC, and now work at Q2 Management while keeping 120+ projects alive across finance, automation, and hardware.
I believe access to technology can redirect a life — and that ambition plus will makes it a matter of when, never if.
Copilot for your next trade
Full-stack algorithmic trading platform. MT5 bridge streams live price data from MetaTrader 5 via a Python socket server. A FastAPI engine processes signals, a Django backend handles auth and user state, and a Next.js dashboard ties it together. Includes a Streamlit backtesting app with Monte Carlo simulation and fractional order support.
Nepal's stock market had no public API. So I built one.
Reverse-engineers the TMS and Meroshare authentication flows. Fetches historical price data, calculates RSI / MACD / Bollinger Bands, fires IPO application alerts, and automates share applications. Built because Nepali investors had zero programmatic access to their own market data.
Strategy → Simulation → Monte Carlo → Ship
Streamlit-based backtesting workbench. Hot-loads strategy classes, supports fractional orders, multi-timeframe data merging, Monte Carlo simulation with cone charts, and a run history manager. Strategies are plain Python classes — no DSL to learn.
From Fusion 360 sketch to physical robot in 3 months
A fully physical nurse-assistant robot designed in Fusion 360, 3D printed, and assembled by hand. Servo-driven arms and head, animated LCD face, Raspberry Pi brain running Gemini 2.0 Flash, Whisper voice recognition, Piper TTS, and health sensors (MAX30102 heart rate, BME280 temp, GSR stress). Inspired by working in a hospital — proof that the question is never if, only when.
Deploy anything, from anywhere, with auth
Streamlit Docker control panel for self-hosted servers. Role-based auth (bcrypt), admin can see all projects while regular users only see assigned folders. Git pull → Docker build → Compose up/down — all from a browser. Used daily to manage production deployments.
HiFlex — SLA tracking, auto-assignment, email loops
Production-grade Django incident tracker for Seneca. Full lifecycle: Open → Acknowledged → In Progress → Escalated → Resolved. Auto-assigns staff on status transitions, sends async email notifications to reporters + room-group staff, tracks SLA breaches, supports L2 escalation queues.
Offensive security as a public service
Floods phishing databases with thousands of fake credential submissions, making real data statistically impossible to extract. Built after watching Nepali bank phishing scams repeatedly surface on Facebook, targeting people who had no way to tell the difference.
The story behind Nemo — how working in a hospital convinced me that robotics was worth taking seriously, and what I learned building one from scratch.
How I reverse-engineered NEPSE's authentication flows, scraped historical price data, and built a Python library that Nepali investors actually use.
I'm open to conversations about financial systems automation, trading platform development, hardware projects, or anything that shouldn't be possible but clearly is.
If you have a problem that's interesting enough, the question is never if — only when.