Farzad Sunavala
Principal Product Manager at Microsoft
United States
Summary
🤩
Rockstar🎓
Top SchoolFarzad Sunavala is a Principal Product Manager at Microsoft with five years of experience building enterprise AI products and production systems, currently focused on Azure AI Search. He blends a software engineering foundation—from backend contributions to Azure Search .NET samples—with product leadership that spans Chevron’s engineering and product teams to strategic AI features at Microsoft. Farzad’s hands-on open-source work improving query types, semantic search options, and data export tooling reflects a practical emphasis on developer experience and scalable search capabilities. With an M.Eng. in Engineering Management from Cornell and a BS in Petroleum Engineering, he brings a multidisciplinary approach that pairs technical depth with operational rigor. Notably, he moves comfortably between shipping code and shaping product direction, bridging engineering detail and customer-facing AI solutions.
5 years of coding experience
7 years of employment as a software developer
Master of Engineering - MEng Engineering Management, Master of Engineering - MEng Engineering Management at Cornell UniversityBachelor of Science (B.S.) Petroleum Engineering, Bachelor of Science (B.S.) Petroleum Engineering at Louisiana State University
Spanish, Gujarati, English
Stackoverflow
481reputation
20kreached
19answers
9questions
Github Skills (19)
net10
dotnet10
semantic-search10
asp-net10
dotnet-core10
csharp10
azure-search10
api-design9
system-commandline8
json7
hnswlib6
vector6
azure6
azure-openai6
azure-cognitive-search6
Programming languages (10)
Github contributions (5)
Azure-Samples/azure-search-dotnet-samples
Nov 2022 - Nov 2022
Azure Search .NET sample code
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 reviews, 17 commits, 1 PR in 6 days
Contributions summary:Farzad primarily contributed to the `azure-search-dotnet-samples` repository, focusing on enhancing the functionality and features of the multiple-search-services sample. Their commits include adding options for query types, language settings, and semantic search configurations, alongside improvements to display output and faceted field counts. Additionally, they updated dependencies, added new commands for data export and related parameters within the `export-data` sample, indicating a focus on refining and expanding the project's capabilities.
dotnetazure-searchazure
farzad528/openai-cookbook
Jun 2023 - Jun 2024
Examples and guides for using the OpenAI API
Contributions:32 pushes, 1 branch in 11 months
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