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LLMs @ Microsoft AI
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Microsoft AI
Data Scientist
June 25, 2026 – Present
TypeT5
January 18, 2023 – July 9, 2023
Seq2seq Type Inference using Static Analysis and CodeT5
View ProjectCoeditor
April 13, 2022 – February 25, 2024
Coeditor: Leveraging Repo-level Diffs for Code Auto-editing
View ProjectSmartAsserts.jl
February 4, 2022 – June 20, 2023
A drop-in replacement of `Base.@assert` that prints out additional information upon failure.
View ProjectSimpleTypePrint
November 13, 2020 – December 18, 2020
Display Julia types in a more human-friendly way.
View ProjectLambdaNet
November 1, 2018 – December 9, 2022
Probabilistic Type Inference using Graph Neural Networks
View ProjectSingularity
September 29, 2017 – August 24, 2021
Pattern Fuzzing for Worst-Case Algorithmic Complexity using Program Synthesis
View ProjecttextVary
September 11, 2016 – March 1, 2021
Help you write better GRE/TOEFL essays by detecting your repeating phrases.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards research-oriented and academic projects, particularly in programming language theory, type inference, and code analysis. While these demonstrate intellectual curiosity and problem-solving skills, the direct alignment with typical 'Data Scientist' roles in a corporate setting (which often involve more business intelligence, A/B testing, and production model deployment) needs further validation. The candidate's current role at Microsoft AI as a Data Scientist suggests some alignment, but the personal projects lean heavily into niche areas. The breadth of technologies used across projects is good, but the depth of application in a business context is not evident from the descriptions.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.