Summary
Mak Kader is a Data Scientist and ML Engineer with 12 years of experience building production-grade AI and cloud solutions from research prototypes to deployed services at IBM in Austin. He designs end-to-end MLOps pipelines, CI/CD for model operationalization, and developer libraries that accelerate adoption of IBM Research tools, and has applied these systems to problems like topic extraction, churn prediction, and document categorization. Beyond modeling, Mak has full‑stack experience (React/Redux, Node.js, NoSQL) and has developed infrastructure components such as a private DNS resolver for IBM Cloud and a Cloud Assistant product. His work has been recognized with client success awards and blends rigorous academic foundations (MS/PhD work in computer science) with pragmatic engineering at scale. Notably, he moves fluidly between research, tooling, and product delivery, enabling teams to take ML from experiments into monitored, repeatable production.
12 years of coding experience
4 years of employment as a software developer
Master of Science (M.S.), Computer Science, CGPA 4, Master of Science (M.S.), Computer Science, CGPA 4 at The University of Texas at El Paso
H.S.C, Science, 5.00/5.00, H.S.C, Science, 5.00/5.00 at 2005 Higher Secondary School
S.S.C, Science, 4.63/5.00, S.S.C, Science, 4.63/5.00 at 2003 Secondary School
University of Dhaka
English, Bangla