Mahesh Mukkamala
Data Scientist
Saarbrücken, Saarland, Germany
Summary
👤
Senior🎓
Top SchoolMahesh Mukkamala is a data scientist with 12 years of experience bridging mathematical theory and applied analytics, currently working at QuantPi in Saarbrücken. He holds a PhD in Mathematics with deep expertise in convex and non-convex optimization, non-smooth analysis, and machine learning, and has published in top venues including NeurIPS, ICML, and ICLR. His research on Bregman proximal minimization for challenging non-convex/non-smooth problems informs practical solutions across analytics and software projects. Mahesh has experience delivering end-to-end systems—from building a 250K LOC backend as a startup co-founder to consulting on custom data analytics—demonstrating both production-grade engineering and rigorous academic rigor. He frequently publishes and documents work online (Google Scholar and personal research site), making him a strong collaborator for projects that need provable optimization methods applied in production.
12 years of coding experience
5 years of employment as a software developer
Master’s Degree, Computer Science, Master’s Degree, Computer Science at Universität des SaarlandesBachelor's degree, Electrical Engineering, Bachelor's degree, Electrical Engineering at Indian Institute of Technology, JodhpurSt.Joseph's English SchoolMaths, Physics and Chemistry, Maths, Physics and Chemistry at FIITJEE Junior CollegeMaster’s Degree, Computer Science, Master’s Degree, Computer Science at International Max Planck Research School
English, Hindi, Telugu, German
Stackoverflow
127reputation
18kreached
1answer
5questions
Github Skills (48)
nmf9
bpg9
factorization8
matrix-factorization8
signal-processing8
gcp7
machine-learning7
aws7
k8s6
django-views6
django-models6
pyramid6
alembic6
django-forms6
gpu6
Programming languages (2)
Github contributions (5)
mmahesh/mmahesh.github.io
Oct 2018 - Jun 2022
Contributions:75 pushes in 3 years 9 months
mmahesh/cocain-bpg-matrix-factorization
May 2019 - Oct 2019
New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB
Contributions:12 commits, 10 pushes, 1 branch in 5 months
proximal-algorithmsnon-convex-optimizationoptimization-algorithmsproximal-operatorsfactorization
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