Pradeep Kadubandi
Founding Member at Interview Kickstart
San Ramon, California, United States
Summary
🤩
Rockstar🎓
Top SchoolPradeep Kadubandi is a seasoned software and machine learning engineer with 15+ years of experience building complex products across startups and hyperscale companies, currently combining founding work on humanoid control and ML instruction with hands-on engineering. He led semantic segmentation for background replacement on Meta Portal video calling and has recent experience aligning LLMs for specialized chatbot scenarios and optimizing ML workloads on AWS accelerators. A former Microsoft senior engineer and contributor to .NET scaffolding and Visual Studio project systems, he brings deep full-stack and tooling expertise alongside research credentials from USC in visuomotor policy learning. Comfortable in tech lead and mentoring roles, he pairs systems-level product judgment with low-level implementation skills (from control algorithms to code generators), and he’s quietly adept at translating academic ideas into production-grade features.
14 years of coding experience
18 years of employment as a software developer
Master of Science - MS Artificial Intelligence / Robotics, Master of Science - MS Artificial Intelligence / Robotics at University of Southern CaliforniaBachelor of Technology (B.Tech.) Computer Science and Engineering, Bachelor of Technology (B.Tech.) Computer Science and Engineering at National Institute of Technology Warangal
Github Skills (9)
net10
asp-net10
dotnet10
entity-framework10
asp-net-mvc10
code-generation10
csharp10
dotnet-core10
webapi9
Programming languages (6)
Github contributions (5)
dotnet/Scaffolding
Jun 2014 - Oct 2015
Code generators to speed up development.
Role in this project:
Backend Developer
Backend DeveloperContributions:238 commits, 29 PRs, 38 pushes in 1 year 4 months
Contributions summary:Pradeep contributed to the development of scaffolding tools within the .NET ecosystem, specifically for generating code and views. They implemented features for controller generation, including the ability to add entity framework models and set up REST-style APIs. The user also worked on enhancing the view generation functionality by creating tag helper based views and improving the template system with better error handling, further streamlining the code generation process.
pythonspeedaspnetasp-net-core-mvcgenerators
PradeepKadubandi/DemoPlanner
Mar 2020 - Feb 2021
Contributions:83 pushes, 4 branches in 11 months
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