Mrunmay Shelar is a software engineer with six years of hands-on experience spanning research internships and startup roles, currently building backend systems at LangDB. He combines a computer science undergraduate background with a master's in biology, bringing a rare interdisciplinary perspective that informs data-driven engineering decisions. His experience includes machine learning research and medical image analysis, plus a practical stint at Dozer where he shipped production-ready components. Active in student-led technical projects and core teams, he has a track record of translating research prototypes into usable software. Known for bridging ML research and engineering, he tends to tackle problems where domain knowledge and scalable implementation meet.
6 years of coding experience
2 years of employment as a software developer
Nano Degree, Deep Learning, Nano Degree, Deep Learning at Udacity
Master's degree, Biology/Biological Sciences, General, Master's degree, Biology/Biological Sciences, General at Birla Institute of Technology and Science, Pilani - Goa Campus
Predicting properties of small molecules using MPNN
Contributions:22 commits, 25 pushes in 6 months
moleculespropertiessmall-molecules
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