At LTM (formerly LTI / L&T Infotech), I build and maintain high-throughput Java services and microservices for a large-scale stock-exchange platform, reducing service downtime by 20%.
I've built JSR 352 batch pipelines processing 500K+ operational records daily, implemented RabbitMQ messaging across 10+ downstream services with 99.9% deliverability, and used ELK Stack observability to reduce production MTTR by 35%. I also design full-stack features with Spring Boot and PrimeFaces, and migrated 80%+ of automated UI coverage to Playwright, cutting suite execution time by 40%.
Independently, I built and deployed ScriptLens, a production AI application that uses Python, FastAPI, Mini LLMs, spaCy, Supabase, and Docker. Its screenplay-edit impact analysis reduced manual review time for writers and editors by over 60%.
