Summary
Arnab Biswas is a Software Architect with over a decade of experience building distributed, high-performance server-side systems and end-to-end ML pipelines to manage millions of IoT devices. He combines deep engineering skills in Core Java and Python with expertise in profiling, performance tuning, and API design to deliver highly scalable, reliable services. Arnab designs and deploys production ML workflows using open-source tooling (Hive, Airflow, MLflow, DVC) and builds predictive maintenance models on time-series data with XGBoost/LightGBM. A Kaggle Discussion Expert and open-source contributor, he also volunteers with DataKind Bangalore to apply data science for social good. His background in physics and radiophysics, plus executive data science training, gives him a strong analytical foundation that informs pragmatic, production-focused ML architecture.
10 years of coding experience
Data Science Series - Foundations, Data Science Series - Foundations at North Carolina State University - Executive Education
Bachelor's degree, Physics (Honours), Bachelor's degree, Physics (Honours) at University of Calcutta
Basics of Data Analytics, Basics of Data Analytics at Indian Institute of Science (IISc) - Centre for Continuing Education