Summary
Ajinkya Pawale is a Senior Consultant in AI & Data with 7 years of experience building production-ready ML and data platforms, currently based in Chicago and pursuing an MS in Data Science at Indiana University Bloomington. He has driven measurable performance gains—cutting data extraction times by 75%, automating pipelines to save hours per run, and improving feature engineering for large-scale claim processing—while shipping GenAI solutions that analyze 100k+ daily calls. Comfortable across the stack, he combines PySpark, Airflow, LangChain/OpenAI integrations, and cloud architectures to move projects from research to resilient production. His background as a data engineer and graduate researcher gives him a rare mix of automation-first engineering and experimental rigor, demonstrated by building ANN models for student retention and a pytest suite covering 50+ API scenarios. Colleagues describe him as a pragmatic problem-solver who turns repetitive tasks into scalable systems—often freeing teams from tedious work so they can focus on modeling and impact.
6 years of coding experience
3 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at Indiana University Bloomington
Bachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at University of Mumbai