Sachin Kadyan
Senior Software Engineer ( Team Lead ) at Prodigy Health
Noida, Uttar Pradesh, India
Summary
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Rockstar🎓
Top SchoolSachin Kadyan is a Senior Software Engineer and team lead with a decade of experience building pragmatic, scalable systems—from AI-powered tooling to hospital CRM platforms. At Prodigy Health he led architecture and delivery of a multi-hospital CRM, introduced Redis-first caching that cut CPU usage by over 60%, and steers code reviews and sprint planning for high-priority products. He pairs a hands-on engineering mindset with an eye for simplicity and real-world impact, emphasizing clean code, performance, and collaborative knowledge sharing. An active contributor to open-source ML tooling, he implemented key feature engineering and alignment wrappers in a PyTorch reproduction of AlphaFold 2, showing fluency across production systems and computational biology pipelines. Based in Gurugram, he’s driven by continuous learning and tackling meaningful technical challenges that benefit users.
10 years of coding experience
1 year of employment as a software developer
12th( Physics Chemistry and Mathematics ), 12th( Physics Chemistry and Mathematics ) at Army Public School (APS)Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at Uttrakhand Technical University, Dehradun
Github Skills (7)
bioinformatics10
pytorch10
machine-learning10
python10
data-pipelines9
feature-engineering9
data-pipeline9
Programming languages (1)
Github contributions (5)
aqlaboratory/openfold
Oct 2021 - Jan 2023
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
Role in this project:
ML Engineer
ML EngineerContributions:2 reviews, 90 commits, 3 PRs in 1 year 3 months
Contributions summary:Sachin implemented several execution wrappers for external tools such as HHBlits, HHSearch, and Jackhmmer, which are essential for generating multiple sequence alignments (MSAs) and homologous protein searches. They also developed a Kalign wrapper for template sequence alignment, a crucial step in template-based protein structure prediction. Further contributions include the creation of feature transformations and data pipelines, specifically for integrating MSAs and template features into the AlphaFold 2 pipeline, showing significant involvement in the feature engineering aspect of the project.
gpupytorchprotein-structurealphafold2
sachinkadyan7/openfold
Nov 2023 - Jan 2025
Contributions:6 pushes, 3 branches in 1 year 2 months
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