Ankit Asthana
Director Of Product Management at Meta
Redmond, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolAnkit Asthana is a technology leader and product executive with over a decade of experience building developer tools and ML platforms, currently leading product at Meta after running .NET and Azure ML product efforts at Microsoft. He bridges deep systems engineering (JIT compilers, JVM optimizations at IBM; C++ toolchain and Visual C++ build throughput) with product strategy, having co-created ML.NET and Spark.NET to bring machine learning to .NET developers. Ankit has shipped new products at Oracle, contributed performance wins measured in SPEC benchmarks, and authored a C++ book while holding multiple patents, demonstrating a blend of research-grade optimization and practical product delivery. He is an active open-source contributor with ML.NET samples in GitHub—ranging from sentiment analysis in F# to recommendation systems—highlighting his hands-on approach to developer-facing ML. Based in Redmond and MBA-trained at Columbia, he combines technical depth with business strategy to simplify complex architectures and accelerate developer productivity. A less obvious strength is his history of squeezing incremental performance gains (multi-x faster links, double-digit SPEC improvements) into mature toolchains, turning optimization work into competitive product advantages.
10 years of coding experience
11 years of employment as a software developer
Bachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at McMaster UniversityMaster’s Degree Business Administration and Management General, Master’s Degree Business Administration and Management General at Columbia University
Stackoverflow
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Github Skills (9)
fsharp10
machine-learning10
dotnet-new10
dotnet10
mlnet10
csharp10
mldotnet10
dotnet-core10
algorithms9
Programming languages (4)
Github contributions (5)
dotnet/machinelearning-samples
Aug 2018 - May 2019
Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.
Role in this project:
ML Engineer
ML EngineerContributions:161 commits, 5 PRs, 146 pushes in 8 months
Contributions summary:Ankit contributed several machine learning samples demonstrating the use of ML.NET. Their work included implementing a sentiment analysis example using F# and type records, adding a movie recommendation sample in C#, and creating a product recommendation sample. Further contributions include updating the movie recommendation and product recommendation samples to use newer ML.NET versions and adding a Unity sample.
machine-learning-platformdotnetml-netmlmachine-learning
asthana86/DocumentDBCpp
Nov 2016 - Sep 2019
Contributions:2 pushes in 2 years 10 months
cppc-wrapperdatabasedocumentdbobject-model
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