About
Hi there 👋! I'm a backend engineer who's spent the last three years building production systems, optimizing APIs, and making Gen AI tools useful. I've migrated monoliths to microservices (40% throughput), cut API latency 450ms→315ms, built Python pipelines processing medical records 85% faster, and created AI toolkits saving 25+ hours per sprint. 🛠️ Some problems I've worked on: 🔧 Migrated Node.js to Java Spring Boot microservices—monolith was a deployment bottleneck. Added Resilience4j circuit breakers, Redis caching, HikariCP pooling. Got 40% throughput, 99.8% uptime across 8 payment flows, 15K+ daily users. Scaled AWS to auto-scaling EC2, RDS Aurora replicas, Lambda—cut costs 35%, kept response times under 2s. 🚀 Optimized API P95 latency 450ms→315ms after catching N+1 queries in New Relic. Fixed with JPA eager loading, MySQL indexes, Spring WebFlux. Sustained 3K+ concurrent sessions with ACID guarantees. ChatGPT analyzed query logs—caught indexing opportunities I'd missed. 🏥 Built Python ETL pipeline—team spent 30 min per medical report on manual entry. Used Tesseract OCR, regex + NLP to parse fields. Got processing to 4.5 min (85% faster), 100% PII redaction. Output feeds our data science team's models. 💡 Created Gen AI toolkit at Microsoft that auto-generates React/TypeScript boilerplate with GPT-4. Eliminated 25 hours copy-paste work per sprint—15+ developers adopted it. Use Copilot for PR reviews, ChatGPT for Jest scaffolding, cut QA time 30%. Not an AI researcher, but good at making these tools productive. 🏆 Top 50 student teams globally at Google Cloud's Agentic AI Day 2025 (Guinness World Record)—selected from 57,000+ developers. Won 1st at CresCon'24, 2nd at Recursion, 8 prizes across 6+ hackathons. What excites me about joining strong engineering teams is learning how world-class companies approach growth mindset, customer obsession, and technical excellence. I'm curious how great teams balance speed vs. quality, build cultures where engineers partner to raise the bar, and do right by users. Early in my career, I want to be around people who think deeply about systems and ship things that help people—that's how I'll grow into the engineer I want to become. I think in systems, measure impact, and default to simple solutions. If there's a better pattern I haven't seen, I want to learn it. 📬 Let's connect and build something amazing!
Work experience
Associate Engineer at L&T Technology Services, Mar 2026 - Present · 6 mos, Bengaluru, Client: Intel (Intel Location)
Software Engineer Trainee at thinkbridge, Nov 2025 - Feb 2026 · 4 mos, Pune District
Beta Microsoft Learn Student Ambassador at Microsoft, Aug 2024 - Nov 2025 · 1 yr 4 mos, Redmond, WA, • Coordinated a 5-person cross-functional team to ship a TypeScript/React/Node.js feature to staging, cutting cycle time 25% over 3 months. • Engineered a GraphQL API layer with Apollo Federation unifying 4 microservices, cutting frontend query complexity 60% and supporting 12K+ concurrent requests, deployed on AWS ECS/Fargate. • Built a CI/CD pipeline with GitHub Actions (500+ JUnit/Mockito tests, 92% coverage), Testcontainers, and Terraform IaC, cutting release cycle from 3 days to 8 hours. • Implemented SLO-based monitoring (99.5% availability, <200ms P95) with CloudWatch alarms triggering Lambda auto-rollback, reducing MTTR from 45min to 12min.
Alpha Microsoft Learn Student Ambassador at Microsoft, Apr 2024 - Aug 2024 · 5 mos, Redmond, Washington, United States, • Developed leadership and team management skills while collaborating with peers on technical projects. • Applied problem-solving, communication, and technical skills to mentor students and contribute to the Microsoft Learn community.
Software Developer at Magnitudo Technologies, Mar 2024 - Nov 2025 · 1 yr 9 mos, Trichy, India, • Migrated a Node.js monolith to Spring Boot microservices (Resilience4j, Redis, HikariCP), delivering 40% throughput gain and 99.8% uptime across 8 payment flows for 15K+ daily users. • Designed AWS infrastructure with Terraform (EC2 autoscaling, Aurora read replicas, Lambda), cutting costs 35% with blue-green deployments and sub-2s response times. • Optimized payment API P95 latency from 450ms to 315ms (30%) via MySQL composite indexing, Redis caching, and Spring WebFlux.
GitHub Global Campus Member at GitHub, May 2023 - May 2025 · 2 yrs 1 mo
GitHub Student Developer Pack Member at GitHub, Jan 2023 - May 2025 · 2 yrs 5 mos
