Projects

Built an AI co-pilot enabling natural-language access to a SaaS analytics dashboard via FastAPI and Anthropic function calling, mapping user queries to structured backend calls.
Implemented SSE token streaming and JWT-authenticated services, achieving p95 first-token latency under 2 seconds.
Added prompt-injection detection, role-based access control, and query validation at the request boundary.

Built a multi-agent research platform orchestrating planner, researcher, critic, and synthesis agents with tool-calling and shared state management to automate multi-step research workflows.
Deployed agent microservices on Kubernetes with inter-agent communication latency below 200ms.

Engineered an industrial AI assistant for PLC fault log analysis; migrated to Google Cloud (Gemini Flash, Qdrant, Cloud Run, Firebase)

Built a real-time system recognizing depression by extracting features from facial expressions, EEG signals, and speech modules using multimodal deep learning. Supported by peer-reviewed research publications

Trained YOLOv3 on the COCO dataset for real-time object detection and localization on road scenes; related to autonomous vehicle patents and deployed in a braking system prototype

Developed an ARIMA model built with MATLAB's Econometrics Toolbox to forecast GDP and Stock Indexes of 10 countries. Includes Python-based validation, residual diagnostics, and confidence intervals for economic trend analysis

Architected a data analysis and ML pipeline to find optimal business locations using Wikipedia data and Foursquare API for Toronto neighborhoods; features Folium mapping, K-Means clustering, and geospatial visualization

Designed a full-stack audit trail system for doctors providing a unified overview of patient medical history, prescriptions, and lab reports; features real-time search, role-based access control, and relational DB optimization