
Machine Learning Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
computer_assistant
February 20, 2024 – February 20, 2024
Segment Anything/Whisper/LLaVa based computer assistant
View Projecttransformers
February 2, 2024 – February 2, 2024
Repository for experimentation and learning with the transformer. Includes a pytorch implementation from scratch, as well as some notes on the paper.
View Projectonenote_LLM_interface
September 13, 2023 – September 13, 2023
onenote_LLM_interface — GitHub repository
View Projectswyxkit_trangml_blog
September 1, 2023 – September 1, 2023
swyxkit_trangml_blog — GitHub repository
View Projectbin-packing-using-greedy-algorithms
September 10, 2022 – September 10, 2022
bin-packing-using-greedy-algorithms — GitHub repository
View Projectmaze-image-solver-using-Dijkstras-Algorithm
September 10, 2022 – September 10, 2022
Solve images of 2d Mazes using Dijkstra's Algorithm
View Projectmulti-task-pybullet-drones
June 15, 2022 – October 9, 2024
multi-task-pybullet-drones — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a strong personal drive and curiosity, with a focus on individual learning and experimentation. The diversity of projects, from LLM interfaces to drone control and algorithm implementations, suggests an adaptable and self-motivated individual. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration or cultural alignment within a structured team environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.