I am a software engineer with a foundation in computer science from National Institute of Technology, Durgapur (B.Eng., Sep 2021 – May 2025). I gravitate toward problems that demand both algorithmic rigor and clean engineering: designing APIs that scale, refactoring codebases for measurable quality gains, and building tools that other engineers can rely on under load.
At Cisco Systems (Jan 2025 – Present), I work on the CCRC platform and related services. I engineered a high-performance local caching layer in Spring Boot for the main Cisco CCRC webpage, cutting latency and improving performance by ~20%. I develop Spring Boot APIs connecting BotService to the CCRC front end, driving AI automation into operational workflows. I refactor critical paths to A+ SonarQube ratings, implement ML-based anomaly detection on Snowflake for attribute-level monitoring (90%+ production accuracy), and deliver enterprise REST APIs alongside cross-functional teams.
Previously at HackerEarth (Jun – Dec 2024), I authored 60+ DSA problems for online assessments, reviewed 150+ multilingual problem suites (C++, Python, Java, Go), and built a test-case generator reaching 10 million lines per second. I conducted 30+ technical interviews and tuned problem difficulty for global contest quality.
Competitive programming is a long-running discipline for me: Expert on Codeforces (1850+, top 300 global in multiple contests), 6-star on CodeChef (top 0.2%), Guardian on LeetCode (top 1%), and Rank 1 in Advanced Algorithms at NIT Durgapur. GATE 2025: 99th percentile, rank 1501 out of ~210,000. I also bring problem solving, technical leadership, and cross-functional collaboration to every team I join.
