India
Software Engineer with 2.7 years of experience building cloud-native backend systems and microservices using C#/.NET, Java (Spring Boot), SQL Server, and Google Cloud Platform (GCP). I work on high-impact, production-grade platforms in FinTech / Trading, with a strong focus on low-latency performance, reliability, and secure service-to-service integrations. Outside work, I’m highly competitive in problem-solving: 2× ICPC Regionalist, Codeforces Expert, and LeetCode Top ~2%.
Developed a low-latency FX trading platform in C#/.NET and SQL Server with microservices deployed across regions on a centralized database. Integrated upstream trade feeds through sockets, gRPC, EMS / MQ queues, implementing a sink chain pattern for fault-tolerant processing across booking, enrichment and regulatory reporting, reliably handling high trade volumes. * Built a release time monitoring utility in C#, ZeroMQ, and WMI to track 80+ services, using topological sorting for dependency-based snapshots, pre / post-release comparison, and automated restarts that reduce downtime and accelerate incident resolution by 80%. Designed a custom On-Prem vs. GCP table comparison utility with a neutralization script generator, enabling validation of 80+ custom tables (up to 100K rows × 200 columns) during cloud migration. Eliminated reliance on Redgate’s 4 paid licenses, resulting in cost savings and faster validation cycles. Project Prime • Developed a Java pre-trade platform using Spring Boot, MSSQL, and Gradle to support backend functionality for 26+ international clients performing credit checks, trade matching, and distribution for 200K+ trades/day. • Developed and integrated RESTful APIs with Spring Security and JWT, to secure sensitive financial data and ensure compliance for the security and audit teams. • Developed and maintained internal APIs and integration points used by multiple systems; improved error handling, retries, and observability for safer end-to-end processing. • Improved regulatory reporting aligned with CFTC Part 43/45 and EMIR requirements by strengthening data quality checks, field mapping, and downstream feed consistency. • Reduced reporting failures by migrating from text-based extraction to HTML parsing, improving accuracy by +12%. • Built CI/CD pipelines with tools like Jenkins and GitHub Actions to automate builds, testing, and deployments.
Developed a proof-of-concept Android application for real-time farm sensor data monitoring, streamed via AWS, establishing robust client-server APIs for remote control and data visualization. Implemented real-time equipment monitoring features, enhancing operational visibility and enabling data-driven decisions for agricultural processes.