Raghavendra Singh Chauhan

I am a software engineer with three years of hands-on experience owning critical microservices and infrastructure, primarily at Deutsche Bank. I focus on building scalable systems, debugging deep internals, and mentoring peers while maintaining high test coverage and security standards.

I have designed and scaled data-ingestion pipelines handling 50M+ records/day using Spring Boot, MQ, and Spark, and I achieved a fast-track promotion to Associate for consistent performance and autonomous ownership. I co-led a modernization effort that rebuilt ingestion into an event-driven pipeline, delivering significant annual cost savings.

My infrastructure work includes JVM tuning for a 24-node Hazelcast cluster, Kafka-based distributed designs, Redis caching, and cloud deployments on AWS/GCP. I have driven upgrades across complex systems, averted compliance delays, and resolved production outages affecting large datasets.

I also build AI/ML integrations and tooling—creating LLM embedding pipelines, vector search with pgvector HNSW, and diffusion-based synthetic data generators—while contributing to open-source projects and maintaining a strong foundation in system design and distributed systems concepts.