Yogesh Kalakoti
Senior Machine Learning Scientist at Elucidata
New Delhi, Delhi, India
Summary
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Senior🎓
Top SchoolYogesh Kalakoti is a Senior Machine Learning Scientist with eight years of experience at the intersection of computational biology and software engineering, currently driving ML-driven drug discovery and disease phenotype modeling at Elucidata. He holds a PhD in Computational Biology from IIT Delhi and has postdoctoral experience from Linköping University, combining deep research rigor with practical production skills in Python, C++, MATLAB, R and frameworks like TensorFlow and PyTorch. His work focuses on extracting biological insight from high-throughput genomics and proteomics data, translating models into deployable solutions and pipelines. Earlier roles range from web development and student leadership to mentoring successor teams, reflecting a blend of technical ownership and people-first collaboration. A competitive academic performer (GATE2018: 99.47 percentile), he brings both theoretical depth and hands-on engineering to accelerate translational bioinformatics.
8 years of coding experience
7 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)Bachelor's Biotechnology, Bachelor's Biotechnology at GB pant university of Agriculture and Technology
English, Hindi
Github Skills (16)
haddock5
sequence5
genome5
nlp4
natural-language-processing4
machine-learning3
transformer3
representations3
structural-biology3
encoder3
bidirectional3
bert3
gpu2
deep-learning2
python2
Programming languages (2)
Github contributions (5)
iamysk/iamysk
Aug 2020 - Jul 2024
Contributions:17 pushes, 1 branch in 3 years 11 months
TeamSundar/dNNDR
Jul 2020 - Jul 2021
Contributions:114 commits, 1 push, 2 branches in 11 months
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