Summary
Vignesh Radhakrishna is a Senior Software Engineer with a decade of experience building scalable, cloud-native systems and AI infrastructure, currently shaping real-time context retrieval and personalization for Business Agents at Meta. He blends deep distributed-systems expertise (Go, Python, Kubernetes, AWS EKS) with hands-on ML platform work—leading 0→1 GenAI annotation and RLHF pipelines that enforce data lineage and quality for large models. His background includes impactful computer vision and automation projects that cut production turnaround by two-thirds and slashed AHT by over 70%, demonstrating a knack for translating research-grade techniques into reliable production services. Comfortable across backend, serverless and video domains, he pairs systems thinking with practical engineering patterns to deliver low-latency, high-QPS platforms. Based in Amherst, MA, he brings both research experience (NeurIPS workshop publication with IBM Research) and product-driven delivery at scale.
9 years of coding experience
4 years of employment as a software developer
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at University of Massachusetts Amherst
Bachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at RV College Of Engineering
English, Kannada, Hindi, Tulu