Json Lee

Data Scientist

https://talent.gravityer.com/json-lee

Keep Coding & Keep Living

ICT

Key Strengths

Strong background in C++ and systems-level programming, including LLVM and compiler technologies.
Experience with data-flow analysis, pointer analysis, and AST interpretation, which are foundational for advanced data science tools and optimization.
Demonstrated interest in deep learning platforms from a compilation perspective, indicating an understanding of underlying mechanisms.
Experience with N-dimensional arrays (tensors) is directly relevant to machine learning and deep learning.
Exposure to distributed computing concepts.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are predominantly personal and highly technical, focusing on compiler design, low-level system manipulation (Xposed), and C++ libraries. While demonstrating strong technical curiosity and initiative, the project diversity does not strongly align with typical collaborative data science team environments or broader business applications. The single listed experience as 'Data Scientist' at ICT is current but lacks details, making it difficult to assess cultural fit for a new role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are technically focused, and no psychometric or English test results are available.

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Projects

Phaeton

June 19, 2019 – September 4, 2020

A tiny DSL for DNN accelerators.

View Project

stl-impl

March 10, 2018 – April 30, 2019

Original implementation of STL by Alexander Stepanov and Meng Lee

View Project

ndarray

February 26, 2018 – August 6, 2019

A headers only template library for N-Dimension Array(i.e., tensor).

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deep-learning

July 18, 2017 – December 17, 2018

focus on several existing deep learning platforms from the perspective of compiling tech, e.g. TensorFlow XLA

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distribution

March 2, 2017 – May 4, 2019

distributed computing toy code : -)

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clang-llvm-tutorial

December 29, 2016 – April 16, 2022

clang & llvm examples, e.g. AST Interpreter, Function Pointer Analysis, Value Range Analysis, Data-Flow Analysis, Andersen Pointer Analysis, LLVM Backend...

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Postgraduate-Course

September 8, 2016 – September 3, 2017

Code Implement of My Postgraduate Course @ UCAS, such as Data Mining, Information Retrieval, Compilation, Concurrence Multi-Core Programming and etc.

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XposedAndroidPrivacyProtection

August 19, 2016 – April 25, 2017

Using Xposed to protect user sensitive data on Android OS

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XposedHookWechat

August 19, 2016 – April 25, 2017

Tencent Wechat client GPS hook with Xposed

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AntiEmulatorDetection

April 8, 2015 – September 25, 2014

A Xposed module hook the java api call to bypass the emulator detection.

View Project

Key Strengths

Strong background in C++ and systems-level programming, including LLVM and compiler technologies.
Experience with data-flow analysis, pointer analysis, and AST interpretation, which are foundational for advanced data science tools and optimization.
Demonstrated interest in deep learning platforms from a compilation perspective, indicating an understanding of underlying mechanisms.
Experience with N-dimensional arrays (tensors) is directly relevant to machine learning and deep learning.
Exposure to distributed computing concepts.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are technically focused, and no psychometric or English test results are available.

Json Lee

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit