Aditya Gudimella
Principal Artificial Intelligence Engineer at Microsoft
Fremont, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAditya Gudimella is a Principal Artificial Intelligence Engineer with a decade of experience building production-grade ML and deep learning systems, currently leading foundational components of Microsoft's Data Agent. He blends research-grade modeling—spanning statistical, predictive, and pattern-recognition techniques—with practical engineering skills in backend and DevOps to ship maintainable, testable AI features at scale. At Microsoft he owned Routing Tool and a Deep Thinking/Research Agent, and contributed to high-profile open-source work such as improving Microsoft’s Semantic Kernel by adding linting workflows and serialization for core skills. His background spans novel research (graph- and tree-based neural models for program analysis) to real-world optimization projects that saved millions in infrastructure design. Trained at Georgia Tech with an IIT Madras engineering foundation, he pairs rigorous computational science expertise with an engineer’s focus on automation and reproducibility. Colleagues describe him as a pragmatic innovator who moves ideas from prototype to resilient production systems.
10 years of coding experience
11 years of employment as a software developer
Indian Institute of Technology MadrasMaster’s Degree, Computational Science and Engineering, Master’s Degree, Computational Science and Engineering at Georgia Institute of Technology
English, Hindi, Telugu, Tamil
Github Skills (10)
github-ci10
githubaction-workflow10
python10
cicd10
llm9
ruff9
sdk9
ai9
artificial-intelligence9
testing8
Programming languages (8)
Github contributions (5)
microsoft/semantic-kernel
Mar 2023 - Aug 2023
Integrate cutting-edge LLM technology quickly and easily into your apps
Role in this project:
Backend Developer & DevOps Engineer
Backend Developer & DevOps EngineerContributions:9 reviews, 8 PRs, 12 comments in 5 months
Contributions summary:Aditya primarily contributed to the project by adding and configuring a Lint Github workflow, which enforces code style rules using Ruff. This was a foundational change, improving code quality and contributing to automated testing. The user also made changes to enable core skills to be serialized. Their work improved the project's maintainability and automated testing processes.
aiartificial-intelligencellmopenaisdk
AdityaGudimella/semantic-kernel
Mar 2023 - Aug 2023
Integrate cutting-edge LLM technology quickly and easily into your apps
Contributions:1 review, 2 PRs, 44 pushes in 5 months
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