Devashish Khairnar

Devashish Khairnar

Alumni

Devashish, a recent graduate with a Master’s in Applied Computing from the University of Toronto, brings four years of experience in software development and machine learning engineering. Recognized for academic excellence with scholarships like the Vector Scholar in AI and the JN Tata scholarships, he has a unique blend of research acumen and technical expertise.

At [SOTI.inc] (https://soti.net), he specialized in optimizing lithium-ion battery health through machine learning and mathematical modeling. At 16bit, he implemented multi-modal AI models for generating radiology reports, while at DeepTek.ai, he developed FDA-approved chest X-ray segmentation models. His tenure at ACI Worldwide honed his FinTech domain knowledge and software engineering skills. Devashish is poised to contribute meaningfully to roles in software engineering, ML engineering, and data science.