Greater Delhi Area
I build scalable backend systems that handle real-world production load and specialize in GenAI-powered applications using RAG and vector databases. With 3+ years of experience in Python and Scala, I have: • Built microservices handling high-throughput traffic with sub-100ms latency • Designed distributed systems using Kafka, PostgreSQL, and MongoDB • Deployed cloud-native applications on AWS using Docker and CI/CD pipelines My core expertise lies in: • Backend Engineering — FastAPI, REST APIs, Microservices Architecture • Data & Streaming — Apache Kafka, PostgreSQL, MongoDB • Cloud & DevOps — AWS (S3, EC2, RDS), Docker, CI/CD • Observability — OpenTelemetry, Grafana, Dynatrace • Security — JWT Authentication, RBAC Recently, I’ve been focused on building GenAI systems: • Retrieval-Augmented Generation (RAG) • Vector databases and semantic search • LLM-powered backend systems and AI workflow automation What differentiates me: → I design systems that are scalable, observable, and production-ready → Strong focus on performance optimization and debugging distributed systems I’m actively exploring opportunities in: Backend Engineering | Data Engineering | GenAI Engineering If you're building scalable systems or AI-driven products, let’s connect.
Context_AI Project: -Built location-aware discovery system → improved lead targeting by 30% -Designed FastAPI microservices with <100ms latency -Implemented JWT + RBAC for secure access -Added observability using OpenTelemetry → reduced debugging time by 40% -Designed system for semantic search & vector retrieval (GenAI-ready)
Imprivata Project: -Improved API performance by 25% -Built validation + OpenAPI → faster frontend integration -Created Dynatrace dashboards → reduced downtime -Solved production issues (SSO, notifications) -Integrated Snyk → improved security