Atreya Majumdar
Senior Engineer at Qualcomm
Hyderabad, Telangana, India
Summary
👤
Senior🎓
Top SchoolAtreya Majumdar is a Senior Engineer with seven years of experience building full-stack, enterprise-grade systems, currently driving platform work at Qualcomm after previous roles at Wells Fargo. He excels in React, TypeScript, Redux and Java, with a focus on scalable micro-frontends and secure REST APIs that bridge product needs and engineering execution. A machine-learning practitioner as well, he contributed the Molecular Attention Transformer and several loss functions to the popular DeepChem open-source library during GSoC and ongoing contributions, bringing ML rigor to production contexts. His background blends formal ECE training from NITK with industry-grade test-driven development and backend ML work at startups and fellowships like MLH. Colleagues describe him as product-minded: he prioritizes delivering measurable value from design to deployment rather than just shipping code. Based in Hyderabad, he combines research-grade ML experience with practical enterprise engineering to solve complex, cross-domain problems.
7 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering at National Institute of Technology Karnataka
Bengali, Hindi, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
pytorch10
machine-learning10
loss-functions10
deep-learning10
tensorflow10
python10
biology9
drug-discovery9
Programming languages (10)
Github contributions (5)
deepchem/deepchem
Apr 2021 - Jun 2022
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Role in this project:
ML Engineer & Data Scientist
ML Engineer & Data ScientistContributions:70 reviews, 160 commits, 30 PRs in 1 year 2 months
Contributions summary:Atreya primarily contributed to the development and testing of machine learning models within the DeepChem library. They added Huber loss and implemented relevant tests for both PyTorch and TensorFlow. Furthermore, the user made several code modifications, including formatting changes and the addition of the Poisson loss function, demonstrating a focus on expanding the library's capabilities.
chemistrysciencedrug-discoverydeep-learningbiology
atreyamaj/deepchem
Jun 2021 - Aug 2021
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Contributions:73 pushes, 18 branches in 1 month
chemistrysciencedockingdrug-discoverydeep-learning
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