Building Systems That Ship
Full-stack ML builder shipping production systems that pair Next.js frontends with Django/DRF services, PostgreSQL/Redis backends, and evaluated ML tied to business KPIs like pricing, demand, and savings. Strong foundations in ML theory (ECE421) and Computer Organization & Architecture (ECE352), informing hardware-aware, performant system design. Currently exploring the intersection of autonomous agents and practical software engineering.
EarlyMind →
Neurodevelopmental screening for children. Custom AI stack with HTML/CSS frontend & Flask backend. Firsthand research, interviews, and data science for dataset formation.
Belief & Risk Engine →
Educational stock app for paper trading and research. Features a deep learning stack, reliability layer, and LLM integration for intelligent market analysis.
Toronto Traffic Prediction
Improving reliability of travel time forecasts using time-series analysis and demand elasticity modeling for downtown congestion.
Full-Stack Development
Next.js frontends, Django/DRF services, PostgreSQL/Redis backends. End-to-end system delivery from design to deployment.
Machine Learning
Production ML systems tied to business KPIs. Strong theoretical foundations from ECE421 coursework.
Systems Architecture
Hardware-aware design informed by computer organization. Performance optimization at every layer.
Languages
ML / Data
Web / Backend
Data & Cloud
ML Theory
GenAI / LLMOps
Systems
Tooling
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