Kallol Das is a Machine Learning Engineer and Tech Lead with nine years of experience building production ML systems, currently leading a team at Meta in San Francisco. He has a strong background at Intel where he shipped camera-management APIs, inference pipelines using OpenVINO, and automated monitoring systems that cut support workload and improved factory uptime. His work spans model evaluation, data engineering (including creating labeled datasets from OCR and detection models), and full-stack prototypes for analytics dashboards and on-call recovery agents. Academic research at New Mexico Tech adds expertise in geospatial and rainfall prediction models, where his ML approaches outperformed traditional baselines across many US regions. Comfortable moving projects from prototype to production, he combines hands-on engineering with operational rigor and a knack for translating research ideas into practical tooling. Colleagues describe him as a pragmatic problem-solver who blends systems thinking with domain depth in computer vision and ML infrastructure.
9 years of coding experience
6 years of employment as a software developer
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at New Mexico Institute of Mining and Technology
Bachelor of Science (BSc) Computer Science & Engineering, Bachelor of Science (BSc) Computer Science & Engineering at Leading University, Sylhet, Bangladesh
Developed Lisp Interpreter in Java as a course project of Principle of Programming Language. Implemented Addition, Subtraction, Multiplication, Division, Definition, Assignment, Variable reference, Constant literal, Conditional, Quotation, Procedure, Procedure Call, Pre-defined Procedures, and Dynamic Scoping.
Contributions:2 PRs, 3 pushes, 2 branches in 3 years 7 months
Contributions:198 pushes, 1 branch in 4 years 10 months
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Kallol Das - Software Engineer, Machine Learning at Meta