Devansh Goenka is a software engineer and machine learning practitioner with about a decade of experience, blending industry roles at Microsoft and Meta with graduate research at the University of Wisconsin–Madison, where he maintains a 4.0 GPA in his MS CS. He focuses on mathematical and deep learning techniques, with a research interest in uncertainty estimation for deploying models in open-world settings and practical experience improving ads ranking and conversion predictions on 1PD ML teams. Devansh has shipped cloud-first recruiting pipelines at Microsoft and worked across the ML stack at Meta, bringing production-minded rigor to research problems. Based in Madison, he pairs strong academic grounding (NIT Durgapur BTech) with hands-on engineering, bridging theory and scalable systems engineering. An understated strength is his repeated role as course grader in advanced nonlinear optimization, reflecting both depth in optimization and a knack for clear technical communication.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, 4.0/4.0, Master of Science - MS, Computer Science, 4.0/4.0 at University of Wisconsin-Madison
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at National Institute of Technology Durgapur
Contributions:6 commits, 1 PR, 5 pushes in 9 months
pythonpython-scriptbashdirectoriespython3
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