At Siemens, I lead the architecture and deployment of enterprise Generative AI and LLM solutions, improving AI-driven workflow automation by 45%. I’ve also implemented evaluation frameworks and safety guardrails that improved model output quality by 40%.
I engineer microservices and REST APIs across AWS and Azure, reducing latency to 85 ms and improving resource utilization by 35%. I’ve designed distributed data pipelines that process more than 50 TB daily.
At BD, I built an AI distributed data search engine and interpreter using Python and Node.js, leveraging Open MPI parallel computing to enhance latency by 150%. I also developed APIs for data pipelines serving more than 100 million requests.
Earlier, I worked on software systems at Algo and Afiniti, including a Kafka-based online prediction service and an enterprise web platform for call center optimization. At Algo, I led four engineers; at Afiniti, I led three.
