Computer Science & Statistics student at the University of Toronto building scalable backend systems and AI-powered applications. I specialize in systems programming, distributed architectures, and machine learning engineering.
I work across the full stack with a focus on backend infrastructure, cloud deployment, and AI/ML integration. My experience ranges from low-level systems programming in C and RISC-V assembly to building production-ready APIs with FastAPI and React frontends.
| Layer | Tech |
|---|---|
| Languages |       |
| Backend & APIs |      |
| Frontend |      |
| AI & ML |      |
| Cloud & Infrastructure |     |
| Databases & Data Platforms |     |
| DevOps & Tooling |      |
Scanalytics - Multi-agent AI analytics engine built with FastAPI and Gemini 2.0 for automated KPI discovery and SQL generation. Features React interface for TypeScript SDK distribution and Pydantic-based schema validation.
ThetaStrike - Full-stack options pricing platform implementing Black-Scholes, binomial models, and Monte Carlo simulations. Built with FastAPI, React, and scikit-learn ML models for volatility forecasting.
Wellthify - AI wellness platform with Flask/Node.js backend integrating Google Gemini Pro and Cloud TTS for personalized fitness and mental health support.
Unix Shell - Unix-style shell in C with process control, piping, signal handling, and TCP-based client-server communication using POSIX sockets and select() for multi-client support.
Shadow Monster Game - Console adventure game written entirely in RISC-V assembly with dynamic AI, pseudorandom generation, and memory-efficient data structures.
Building systems that scale, one commit at a time.