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Rahul Ankoshkar
Mid-level Backend Software Engineer specializing in cloud-native Java microservices (FinTech)
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About
Software engineer with Prudential Financial experience building enterprise Spring Boot microservices for policy/risk assessment, including integrating Python ML models via Flask and hardening services with resiliency patterns. Also led an AWS lift-and-shift modernization during an internship (EC2/ELB/Route53/Auto Scaling) and built a personal diffusion-model text-to-music project using BERT tokens mapped to Mel spectrograms.
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Key Strengths
- End-to-end ownership of enterprise policy/risk assessment feature (frontend/backend/data/infra)
- Integrated Python ML models with Java at enterprise scale via Flask microservices + Docker
- Improved deployment speed ~40% by automating CI/CD and using blue-green deployments
- Designed resiliency patterns (async calls, timeouts, retries, fallbacks, circuit breakers)
- Performance tuning under high concurrency (stateless refactor, CompletableFuture, executor pools, HikariCP tuning)
- AWS cloud migration and operations (EC2, ELB, Route 53, Auto Scaling, IAM, RDS, Kinesis)
- Agile delivery in 2-week sprints with cross-functional collaboration (QA/product) using Jira
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