Summary
Syed Jalil is a Head of Engineering and machine learning leader with 11 years of software experience and a Master’s in Computer Science from the University of Amsterdam. He has led data and ML teams across startups and scaleups, shipping production pipelines, microservices, and inference deployments for healthcare and data-science platforms. His hands-on background spans computer vision, NLP, and large-scale data engineering using Spark and cloud platforms (AWS/GCP), and he frequently bridges science and engineering by turning research prototypes into reliable services. An advisor to AI firms and a former senior engineer at Semantic Health and Zerve, he combines team leadership, architecture design, and PR-level code review to accelerate delivery. Notably, his master’s thesis work on partial result caching for Spark shows a long-standing interest in performance optimization for distributed ML workloads.
11 years of coding experience
7 years of employment as a software developer
Master’s Degree, Computer Science, 7.9/10, Master’s Degree, Computer Science, 7.9/10 at VU University Amsterdam
Matriculation, Sciences, Matriculation, Sciences at Bahira Foundation College
Master’s Degree, Computer Science, 7.9, Master’s Degree, Computer Science, 7.9 at University of Amsterdam
Bachelor’s Degree, Computer Software Engineering, 3.57, Bachelor’s Degree, Computer Software Engineering, 3.57 at National University of Sciences and Technology (NUST)
HSSC, Pre Engineering, HSSC, Pre Engineering at Fauji Foundation College
Urdu, English