Sachin Kadyan
Senior Software Engineer ( Team Lead ) at Prodigy Health
Gurugram, Haryana, 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.
9 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.
pytorchmemorygpualphafoldreproduction
sachinkadyan7/openfold
Nov 2023 - Jan 2025
Contributions:6 pushes, 3 branches in 1 year 2 months
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