Summary
Apurba Sengupta is a Senior Data Scientist with eight years of experience building and scaling production AI/ML systems, currently leading development of multi-agent assistants, RAG-enabled chat, and content moderation engines at Paylocity. He blends deep learning and NLP research (UPenn MSE) with pragmatic MLOps—designing inference frameworks, distributed Spark pipelines, and AWS-native NLP-as-a-Service that accelerate feature delivery from weeks to days. His background spans end-to-end ML in enterprise settings, from AutoML and demand-forecasting at Quantiphi to forecasting and battery-range modeling in automotive research. Notably, he has operationalized LLMs across Azure OpenAI, AWS Bedrock, Databricks and self-hosted Hugging Face models while cutting runtime and operational costs through automation. Based in Waltham, MA, he pairs strong academic foundations with a track record of turning research prototypes into customer-facing, scalable products.
8 years of coding experience
5 years of employment as a software developer
All India Senior School Certificate Exam (AISSCE) || All India Secondary School Exam (AISSE) Science, All India Senior School Certificate Exam (AISSCE) || All India Secondary School Exam (AISSE) Science at Prakash Higher Secondary School
Bachelor of Technology (B.Tech.) Electrical Engineering, Bachelor of Technology (B.Tech.) Electrical Engineering at Sardar Vallabhbhai National Institute of Technology, Surat
Master of Science in Engineering (MSE) Data Science, Master of Science in Engineering (MSE) Data Science at University of Pennsylvania
English, Hindi, Bengali, Gujarati