Simran Mhatre
Product Designer at Databricks
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSimran Mhatre is a San Francisco–based product designer with 9 years of experience building user-centered interfaces for developer and platform workflows, currently shaping product design at Databricks after leading platform UX at Anyscale. She blends product management and design, having owned alerting, cost management, permissions, and observability experiences that simplify complex infrastructure for platform admins and developers. Her background spans consumer-facing work at Meta and Sezzle to research-driven UX for NSF and NASA-affiliated projects, giving her a rare mix of scale, domain depth, and research rigor. Simran repeatedly turns complex data and infrastructure concepts into clear, actionable interfaces—once redesigning a site that drove a 75% revenue lift—and she continuously applies HCI principles from her master’s to improve usability at scale.
9 years of coding experience
4 years of employment as a software developer
Master's degree, Human Computer Interaction, Master's degree, Human Computer Interaction at Indiana University BloomingtonBachelor of Engineering, Information Technology, Bachelor of Engineering, Information Technology at Bhartiya Vidya Bhavans Sardar Patel Institute of Technology Munshi Nagar Andheri Mumbai
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (22)
pytorch10
parallel10
rllib10
python10
data-science10
machine-learning10
large-language-models10
reinforcement-learning10
java10
scaling10
llm-inference10
llm10
hyperparameter-optimization10
mlops10
deep-learning10
Programming languages (2)
Github contributions (5)
simran-2797/simran-2797.github.io
Oct 2019 - Aug 2023
Portfolio
Contributions:2 PRs, 35 pushes, 2 branches in 3 years 9 months
cssjavascriptreact
simran-2797/ray
Jan 2023 - Jul 2023
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
Contributions:1 push, 4 branches in 5 months
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