I am a senior software engineer and systems architect with more than 18 years of experience building backend platforms, distributed systems, and enterprise data-processing solutions. My strongest language is Java, while Python is my primary language for AI and machine-learning work.
I design and deliver systems end to end, from schemas, APIs, and event-driven architectures through cloud deployment, security, monitoring, and operational reliability. My experience includes microservices, Kafka-based streaming, CDC pipelines, Kubernetes, and high-throughput data platforms.
Over the past two years, I have focused heavily on production AI and LLM systems. I build RAG applications, agentic workflows, document intelligence pipelines, prompt-evaluation workflows, and observable AI services using tools such as LangChain, LangGraph, pgvector, AWS Textract, and SageMaker.
I have delivered regulated financial-data systems, including a multi-stage document extraction platform that achieved 97% accuracy across more than 10 document categories and reduced manual KYC review time by 65%. I am comfortable balancing deterministic processing with LLM fallback and evaluation-driven improvements.
My recent work also includes IoT and edge-device platforms, cloud security, secrets management, distributed deployment automation, telemetry analytics, logistics systems, payment integrations, and real-time fleet tracking. I prioritize secure architecture, reliability, and measurable business outcomes.
I am AWS Certified Solutions Architect (Associate) and open to worldwide remote opportunities and relocation. I am interested in senior or lead engineering roles involving distributed systems, platform architecture, backend engineering, and production AI/LLM solutions.