Summary
Virajdatt Kohir is a Data Scientist and AI Engineer with nine years of experience building production-ready ML systems, currently applying AI to healthcare at IQVIA. He blends deep learning research—work on federated learning vulnerabilities and transcriptomics at Penn State—with hands-on MLOps and SRE practice, having deployed models and pipelines on Kubernetes, AWS/GCP, and Azure. Previously at iManage he cut infrastructure costs by 37% through model-driven sizing, improved uptime to 99.99% via alert analytics, and led CI/CD and monitoring automation. His internship at Shipt produced a reusable SnowflakeToKafka Airflow operator now open-sourced, reflecting a focus on reducing friction for data teams. Comfortable across the ML lifecycle, he pairs rigorous academic training (MS in Data Analytics, 3.97 GPA) with practical cloud and DevOps craftsmanship.
9 years of coding experience
5 years of employment as a software developer
Masters in Data Analytics, Data Science, Machine Learning and Deep Learning, 3.97, Masters in Data Analytics, Data Science, Machine Learning and Deep Learning, 3.97 at Penn State University
Bachelor of Engineering - BE, Computer Science, Distinction, VTU 3.85, Bachelor of Engineering - BE, Computer Science, Distinction, VTU 3.85 at Gogte Institute of Technology, BELGAUM
English, Kannada, Hindi, Marathi