Summary
Humair K is a Staff Software Engineer specializing in ML and AI, building scalable microservices and LLM-driven solutions for compliance, risk, and operations at Hyperproof after Hyperproof’s acquisition of Expent AI. Over nine years he’s moved from research in NLP, multimodal learning, and audio representations (EMNLP, NeurIPS, PMLR) to product-grade systems, having been a founding engineer who cut vendor evaluation time by 85% through AI-driven pipelines. He designs retrieval-optimized architectures (RAG, embeddings, Elasticsearch), deploys FastAPI services with CI/CD on AWS, and has deep experience in real-time vendor intelligence and contract Q&A. Earlier roles at ZS and IITs combined ML for healthcare analytics and resource-constrained vision-language adaptation, reflecting a strong bridge between research and production. Based in Bengaluru, he brings a pragmatic focus on measurable impact—improving costs, coverage, and targeting—while still contributing to foundational benchmarks like the HEAR audio benchmark. Not obvious from titles: he routinely blends large-scale engineering with reproducible research practices, enabling smooth transition of models from papers to reliable services.
9 years of coding experience
6 years of employment as a software developer
Indian Institute of Technology Roorkee
Hindi, English