Senior Software Engineer

• Designed and implemented a real-time recommendation ranking service using TensorFlow Serving and Kubernetes, improving CTR by 12% and reducing latency by 35%.
• Architected a sharded microservice for user activity logging handling 500K RPM; migrated from monolith to event-driven architecture using Kafka and gRPC.
• Led a team of 5 engineers to build a scalable A/B testing framework adopted by 20+ product teams, increasing experiment velocity by 40%.
• Optimized CI/CD pipelines with Bazel and internal tooling, reducing build time from 15min to 4min and deployment failures by 60%.

Software Engineer

• Developed backend services for Facebook Groups’ notification system in Java and Thrift, serving 2B+ users with sub-100ms p99 latency.
• Integrated ML models for spam detection (PyTorch) into production pipelines, reducing false positives by 22% and manual review load by 30%.
• Contributed to internal Kubernetes operator for stateful services, improving deployment reliability and reducing on-call incidents by 45%.
• Mentored 3 junior engineers; conducted code reviews and design doc feedback for cross-team initiatives.

Software Developer

• Built and maintained backend services for personalized content discovery using Spring Boot and Cassandra; handled 10M+ daily requests.
• Designed a fault-tolerant caching layer with Redis and Hazelcast, reducing database load by 70% and improving API response time by 50%.
• Implemented observability with Prometheus, Grafana, and ELK stack; reduced mean time to detect (MTTD) incidents by 65%.
• Participated in SRE rotation; improved service SLA from 99.9% to 99.99% over 18 months.

Master of Science in Computer Science

Focus: Distributed Systems & Machine Learning | GPA: 3.9/4.0

Bachelor of Engineering in Computer Science

Graduated Summa Cum Laude | Dean’s List all semesters