Mark Lee
Data ScientistSDE @ AWS
New YorkMember since June 25, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
SDE @ AWS
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
SearchAndOptimizationGifs
November 22, 2021 – November 22, 2021
SearchAndOptimizationGifs — GitHub repository
View Projectonnx-darknet
August 31, 2018 – October 12, 2018
Darknet Neural Network Backend and Frontend for ONNX
View ProjectAddax
July 29, 2017 – August 11, 2017
Super Bowl advertisements every day, every hour, every minute: right at your fingertips
View ProjectAssignments
June 9, 2017 – June 29, 2017
Unit divided assignment resources with README prompts and barebones code
View ProjectArcus-Coelestis
May 14, 2017 – May 14, 2017
An educational, orb shooter game in Java that teaches the fundamentals of HSV
View ProjectGalaga2.0
March 26, 2017 – October 1, 2019
Graphical 2D arcade-style game with inspiration from Galaga, built with C++ and SFML
View ProjectSynopsys-Project-2017
December 20, 2016 – March 25, 2023
A deep learning based bioinformatics project on epigenetics in Type 2 Diabetes.
View ProjectUltrasonicTesting
February 7, 2016 – February 18, 2016
UltrasonicTesting — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in deep learning, computer graphics, and general programming. While there's a clear passion for technical work, the projects are diverse and not exclusively focused on data science applications, which might indicate a broader interest rather than a deep specialization in the target role. The lack of professional experience or team-based projects makes it difficult to assess collaboration or cultural alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.