Experience

Shipped 8 versioned REST API endpoints in FastAPI with typed Pydantic schemas, standardizing response contracts across integrations and removing the need for client-side validation patches. Reduced new-environment setup time from 2 hours to under 30 minutes by standardizing Dockerfiles, environment configuration templates, and centralized logging for repeatable CI/CD deployments. Processed 5,000+ dental images through a Python ingestion pipeline with schema validation and structured error reports that exposed failed records with full diagnostic context. Cut reviewer analysis time by 30% by storing image-processing metrics in PostgreSQL and generating run-over-run comparison reports that enabled quality tracking across pipeline runs.

Built an EC2-hosted pipeline to ingest research datasets from Amazon S3 into PostgreSQL, cutting query latency by 35% through composite indexing and table partitioning. Optimized Dockerized FastAPI services by tuning PostgreSQL queries and implementing connection pooling, reducing p95 response latency from 900ms to 280ms. Built a React/FastAPI analytics dashboard with reusable visualizations for dataset size, labels, and ingestion status, cutting weekly research reporting overhead by 30%.

Delivered feature enhancements and resolved defects across attendance and staff-management modules for a React, Node.js, MySQL academic portal serving 2,500+ DAU. Saved ~40 staff hours per week across 5 departments by building mark-all and quick-edit attendance workflows, eliminating repetitive per-student updates. Cut portal page-load time from 3.2s to 1.0s by adding targeted MySQL indexes and refactoring inefficient multi-table JOIN queries across attendance and staff workflows. Secured grade and results endpoints with RBAC and OAuth 2.0, blocking unauthorized access paths identified during pre-launch testing.