Experience

Shipped 8 versioned REST API endpoints in FastAPI with typed Pydantic schemas, replacing fragile client-side post-processing logic by moving validation to the server layer so client teams stopped patching schema mismatches in their integrations. Standardized service deployments with environment-based configuration, centralized logging, and CI/CD-ready artifacts, cutting new environment setup time from 2 hours to under 30 minutes. Built a Python data ingestion pipeline that processed 5,000+ dental images with schema validation and structured error reporting that surfaced failed records with full diagnostic context. Developed PostgreSQL-backed metrics storage and comparison reports for image-processing pipeline runs, reducing reviewer analysis time by 30% and enabling run-over-run quality tracking.

Engineered a data pipeline on AWS (S3, EC2) with PostgreSQL to manage structured research datasets, cutting query retrieval time by 35% through composite indexing and table partitioning. Containerized REST APIs in Python (FastAPI) with Docker, reducing p95 response latency from 900ms to 280ms via query optimization and connection pooling. Built a React/FastAPI analytics dashboard with reusable data-visualization components for dataset size, labels, and ingestion status, cutting weekly research reporting overhead by 30%.

Delivered attendance and staff-management features for a full-stack React/Node.js/MySQL academic portal serving 2,500+ daily active users, resolving open bug tickets across the attendance and staff modules over a 5-month engagement. Automated batch attendance workflows (mark-all, quick-edit), saving ~40 hours per week across 5 departments by eliminating repetitive per-student actions. Optimized slow SQL JOIN queries via MySQL indexing and query refactoring, reducing page load time from 3.2s to 1.0s. Implemented role-based access control (RBAC) and OAuth 2.0 authentication on grade and results endpoints, blocking unauthorized access paths flagged during pre-launch security testing.