Archishman das

I’m a Senior Backend Engineer with 4+ years of experience building scalable backend systems, REST APIs, API integrations, and distributed services. My primary focus is backend engineering, with hands-on experience in Java, Spring Boot, Python, Redis, Kafka, RabbitMQ, PostgreSQL, MongoDB, Docker, Kubernetes, AWS, and CI/CD.

I’ve worked on backend platforms serving 10M+ users, built and maintained 80+ production REST APIs, and worked on high-concurrency systems involving distributed locking, caching, microservices, and performance optimization. My experience includes decomposing legacy monoliths into microservices, improving database and API performance, debugging production issues, designing fault-tolerant systems, and building reliable integrations using REST, OAuth2, and webhooks.

More recently, I’ve been expanding my backend expertise into AI engineering, building AI-enabled backend systems and hackathon projects involving FastAPI, Redis, Docker, model-serving infrastructure, inference APIs, feature engineering, LLM integrations, and AI-driven workflows. My current interests are particularly focused on the intersection of backend architecture, distributed systems, and production AI.

I’m especially interested in distributed systems, backend architecture, fintech, healthcare, and startups, where I can work on technically challenging problems and build systems that have meaningful real-world impact.

I’m currently looking for full-time opportunities as a Senior Backend Engineer, with particular interest in Backend + AI Engineering and Full-Stack Engineering roles. I’m also open to freelance opportunities. I’m flexible regarding remote, hybrid, relocation, and location.

I enjoy taking ownership of problems end-to-end—from understanding requirements and designing the architecture to implementation, performance optimization, testing, deployment, and production debugging. I’m particularly motivated by opportunities where strong backend engineering and distributed-systems fundamentals can be combined with emerging AI technologies to build practical, production-ready systems.