About

Designed and implemented RESTful APIs using Java (Spring Boot) and PostgreSQL to support internal financial systems serving cross-functional teams, improving data accessibility and operational efficiency. Reduced API response latency by 35% through SQL query optimization, indexing strategies, and Redis-based caching, enabling high-throughput processing under peak transaction volumes. Built automated validation pipelines to enforce business rule consistency across payment workflows, reducing manual review errors by 25% and improving data integrity. Implemented secure service-to-service authentication and RBAC using OAuth 2.0, ensuring compliance with enterprise security standards and protecting sensitive financial data. Increased unit and integration test coverage from 60% to 90% using JUnit and Mockito, improving deployment confidence and reducing production regression defects.

Built and deployed 5 production-grade AI applications leveraging Next.js, OpenAI, Pinecone, and Stripe, supporting 1,000+ users with 98% response accuracy and scalable production workflows. Architected a custom RAG pipeline using OpenAI embeddings and Pinecone vector search, reducing hallucinations and improving response relevance by 40%. Engineered a monetized AI SaaS platform integrating Stripe subscriptions, usage-based billing, and secure authentication, enabling scalable user onboarding and revenue tracking. Optimized API latency and query performance by implementing caching, efficient indexing strategies, and frontend virtualization, reducing response time from 3s to sub-second response times.

Led technical tutoring sessions for 50+ students on data structures (trees, graphs, heaps), algorithms (sorting, dynamic programming), and software development best practices in Python and Java. Created automated grading scripts and test harnesses using Python that reduced assignment evaluation time by 40%, enabling faster feedback for 150+ students per semester.