Staff Software Engineer | Distributed Systems | Platform Architecture

I provide architecture leadership and technical direction for an enterprise Smart Grid ecosystem covering Head-End Systems, Meter Data Management, telemetry processing, workflow orchestration, analytics infrastructure, and utility integrations. I define organizational architecture direction through governance, technical review processes, Architecture Decision Records, and shared platform standards.

I architect a high-throughput platform supporting more than 400,000 connected smart meters and billions of telemetry measurements. I lead development of Kafka and Redis stream-processing pipelines, Temporal-based workflows, DLMS/COSEM Head-End Systems secured with AES-GCM, analytics platforms using PostgreSQL, Elasticsearch, and StarRocks, and multi-tenant authorization with Keycloak. I also mentor a team of 10+ engineers, lead technical reviews, and integrate LLM and agentic AI workflows into backend engineering practices.

I led backend architecture, platform engineering initiatives, and production AI system deployment for Hamsabad copy-trading and fintech products. I designed low-latency solutions for real-time market-data and trading-event processing under volatile market conditions.

I led a cross-functional team delivering an LLM-powered content moderation system, including data collection and augmentation, LoRA and QLoRA fine-tuning, RAG integration, evaluation, and scalable backend deployment. I also directed a no-downtime migration to the Asa cloud environment, developed shared platform libraries and centralized API gateways, and drove architecture reviews, mentorship, and technical debt reduction.

I provided technical leadership for backend engineering teams building financial technology products and real-time processing systems. I influenced distributed architecture decisions involving Kafka, NATS, messaging infrastructure, and real-time stream processing.

I improved engineering productivity and maintainability through systematic code reviews, technical mentorship, and knowledge sharing. I also strengthened observability and monitoring capabilities using Prometheus, Grafana, and the ELK Stack.

I contributed to backend modernization efforts and the transition from monolithic applications to service-oriented architecture. I participated in decomposing monolithic services into microservices and building event-driven notification platforms.

I built Apache Airflow workflows for operational automation and implemented multi-environment CI/CD pipelines. My work used Python, Django, PostgreSQL, Redis, Docker, and GitLab CI/CD.

Bachelor of Science in Computer Engineering.