Sandeep Mane
Engineering Manager at Meta
Menlo Park, California, United States
Summary
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Rockstar🎓
Top SchoolSandeep Mane is an engineering manager based in Menlo Park with 7 years of formal experience in leadership roles and over two decades of hands-on software engineering across cloud, middleware, and enterprise systems. He has deep expertise building high-volume, highly available distributed systems and has driven migrations and reliability improvements on Oracle Cloud and OCI, earning AWS Solutions Architect certification along the way. At Meta he transitioned from solutions engineering to lead teams delivering scalable platforms, while previously shaping Fusion Applications and middleware at Oracle. Known for reducing customer downtime to near zero through re-engineering and disciplined patching strategies, he blends technical ownership with program management skills including budget, risk, and onshore/offshore coordination. Sandeep emphasizes building lean, high-performing teams and a technical transformation roadmap that balances immediate delivery with long-term architectural health. Continuous learning—formalized by Stanford Advanced Project Management—complements his practical focus on API design, cryptography, and end-to-end system integration.
7 years of coding experience
13 years of employment as a software developer
Savitribai Phule Pune UniversityStandford Advanced Project Management, Standford Advanced Project Management at Stanford University
Stackoverflow
346reputation
543kreached
7answers
3questions
Github Skills (22)
evolutionary10
allocation10
econometrics10
marketing10
facebook10
gradient10
datasets10
hyperparameter-optimization10
regression10
explore10
rates10
science10
modeling10
machine-learning9
macos6
Programming languages (1)
Github contributions (2)
facebookexperimental/Robyn
Feb 2024 - Mar 2025
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
Contributions:150 reviews, 47 PRs, 118 pushes in 1 year 1 month
gradient-based-optimisationeffectivityridge-regressionadvertisersmarketing-mix-modelling
sumane81/gitcourse
Mar 2019 - Mar 2019
Contributions:1 branch in 1 day
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