Hasham Haq is a Machine Learning Engineer with a decade of experience building production AI solutions across healthcare, telecom, billing, and banking domains from the San Francisco Bay Area. He has contributed to Spark NLP and led development of clinical NLP pipelines—training BERT models and building GPT/T5-based clinical summarizers that cut manual review by up to 90% for enterprise customers. Hasham has delivered end-to-end computer vision and OCR systems, synthetic data and handwriting recognition, and AML/KYC detection engines deployed at major carriers like T-Mobile, Kyivstar, and VEON. Equally comfortable in research and production, he combines deep expertise in GANs, NLP, and big data with cloud-native deployment (Kubernetes) to operationalize models at scale. A pragmatic problem-solver, he often bridges data science and engineering teams to turn complex regulatory and clinical requirements into reliable, auditable pipelines.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Computer Science, 3.63 CGPA, Bachelor of Science - BS, Computer Science, 3.63 CGPA at National University of Computer and Emerging Sciences
Contributions:16 releases, 56 commits, 36 pushes in 2 years 3 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Hasham Haq - Machine Learning Engineer at John Snow Labs