Summary
Suhas K is an AI Software Engineer with 10 years of experience building AI/ML systems and production-grade distributed platforms that turn terabytes of imaging data into deployable solutions. He blends deep computer vision and foundation-model research with hands-on engineering of scalable microservices on HPC and cloud (AWS, Docker, FastAPI, React), and has re-architected monoliths into cloud-ready services that cut latency by 10×. At Dynanet and the University of Florida he led projects like FUSION and CompRePS 2.0, scaling workloads across 100+ GPUs and 246 CPUs and processing 700+ whole slide images and 45M+ cells. His work has been published in Nature Communications and adopted across NIH consortia (HuBMAP, KPMP), demonstrating impact in both research and clinical settings. He also optimized interactive visualization pipelines—reducing response times from 90s to 9s with multi-level caching and async queries—improving researcher productivity. Curious and product-focused, he thrives where cutting-edge AI research meets secure, reproducible, high-throughput engineering.
10 years of coding experience
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at REVA University
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Florida
English, Kannada, Telugu, Hindi