Summary
Software Engineer with 5+ years at Microsoft, Amazon, and Barclays designing Java, Spring Boot and microservices-based enterprise systems at consumer scale. At Amazon, architected distributed Java/Scala REST services on Kafka/DynamoDB serving 10B+ low-latency requests/year; at Microsoft, drove LLM-powered log triage cutting cost 9x and MTTR 30%. Strong in concurrent programming, REST API design, data caching, and secure scalable backend platforms.
Experience
Jul 2024 — present · Seattle, WA
- Mitigated 15+ Windows OS update issues by leading incidents and WinDbg post-mortems.
- Reduced recovery-update MTTR by 30% by building a C++ CI validation pipeline in Azure DevOps.
- Cut on-call onboarding from weeks to days by standardizing runbooks and SLO playbooks into repeatable triage procedures.
- Reduced LLM-based log-triage cost by 9× by implementing routing and prompt templates while preserving signal.
Oct 2021 — Aug 2022 · Bangalore, India
- Enabled launch of a new UK payment method for 80K customers by owning end-to-end delivery across Scala services and AWS integrations.
- Scaled distributed payment components to 10B+ annual requests by architecting Java services backed by DynamoDB and automating operational telemetry.
- Reduced payment-method onboarding effort from 3 months to 2 weeks by driving app-to-app redirection/fallback design and coordinating away-team changes.
Jul 2019 — Sep 2021 · Pune, India
- Reduced QA effort by 33% by automating CI/CD and test pipelines for Java Spring services.
- Supported 5M+ US customers by owning Java services and production operations.
- Automated 20% of fraud workflows by delivering APIs and integrating Python services with React/Node.js and MySQL.
Internships
Jan 2024 — May 2024 · San Francisco Bay Area, California
- Reduced quoting manual effort by 60% and increased throughput by 30% by building a containerized .NET/C# service for Megapack (Docker, Kubernetes, Kafka; PostgreSQL, MongoDB).
May 2023 — Aug 2023 · Sunnyvale, California
- Improved p99 latency by 5% for a product serving 1B+ users by developing journey APIs (Java, Protobuf/gRPC) on GCP.
Education
Aug 2022 — May 2024 · GPA 4.0/4.0
Skills
Primary: Java · Go · C++ · C# · Python · Scala · Distributed systems · Microservices
Secondary: .NET · Spring · React · Node.js · DynamoDB · PostgreSQL · MySQL · MongoDB · Docker · Kubernetes · Kafka · gRPC · GCP · Azure · Azure DevOps · WinDbg
Selected Work
- klarEDA — Open-source Python library that automates common EDA steps with one-call preprocessing and visualization.
- High-Throughput Graph Processing Pipeline — Real-time graph pipeline (C++, Docker, Kafka, Neo4j) that improved processing throughput by 50%.