Resume-ready portfolio
Quantitative systems and backend platforms built for scale.
Software engineer focused on low-latency C++, Java distributed systems, resilient APIs, data pipelines, and polished product experiences. Every featured project links to source, CI, and a live GitHub Pages demo.
Available for SDE, Backend, Quant Dev
2026
profile.focus = ["low latency", "distributed systems", "resilient APIs"]
profile.stack = ["C++17", "Java 17", "Python", "Kafka", "Redis", "Docker"]
profile.links = "live demos + verified source"Curated repositories
Live project portfolio
Dummy and coursework-style repositories are intentionally excluded. These are the projects worth sending to recruiters.
Combined skill map
Quant depth with backend execution
Languages
C++17/20, Java, Python, SQL, JavaScript, Scala, Bash
Low-Latency Systems
Lock-free queues, atomics, CAS, memory layout, profiling, cache-aware design, JMH, CTest
Quantitative Engineering
Monte Carlo simulation, Black-Scholes, Greeks, variance reduction, probability, statistics, numerical methods
Backend Platforms
Spring Boot, REST APIs, JWT, RBAC, rate limiting, Flask, service design, OOP, SOLID patterns
Distributed Systems
Kafka, Redis, Spark, message queues, back-pressure, DLQ, circuit breakers, idempotency, caching
Cloud + DevOps
Azure, Docker, Kubernetes, GitHub Actions, GitHub Pages, CI/CD, observability, PostgreSQL
Experience
Engineering impact
Software Development Engineer, MAQ Software
Built backend/data systems processing 10TB+ daily, reduced P95 latency 50%, cut compute costs 40%, and improved production quality with automated reconciliation and observability.
B.Tech CSE, IIT Patna
Computer Science foundation across DSA, OS, databases, networks, probability, statistics, machine learning, and software engineering. Training and Placement Cell Coordinator.
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