Summary
Mihir Ahlawat is a Senior AI Scientist in Chicago with eight years of experience blending rigorous statistics, machine learning, and cloud-native software engineering to turn data into business impact. Trained with an MS in Statistics and Computer Science from Purdue and a BTech in Mathematics & Computing, he pairs deep mathematical foundations with hands-on experience building microservices, CI/CD pipelines, and Kubernetes-deployed applications. His background spans applied consulting—delivering experimental designs, survival and time-series analyses, and BI visualizations that boosted client engagement—to production ML systems like recommendation engines and conversion predictors. He brings a rare cross-functional fluency from SAP enterprise development to academic research support at Purdue RCAC, supervising student projects and documenting reusable data science resources. Mihir’s pragmatic focus on model diagnostics, data quality, and deployment has repeatedly converted analytic insights into measurable outcomes, and he often surfaces operational fixes (e.g., incident root-cause tools) that quietly improve system reliability.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Technology, Mathematics and Computing Engineering, 3.51/4.00, Bachelor of Technology, Mathematics and Computing Engineering, 3.51/4.00 at Delhi Technological University (Formerly DCE)
Senior Secondary School, Science, Senior Secondary School, Science at Montfort Secondary School
Master of Science - MS, Statistics and Computer Science, 3.79/4.00, Master of Science - MS, Statistics and Computer Science, 3.79/4.00 at Purdue University
English, Hindi, Spanish