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University of California
Data Scientist
June 25, 2026 – Present
tch-rs-serving
October 10, 2020 – August 9, 2024
This project will contain a back end stack with rust web framework Actix for fast http request. Alongside Juniper (Rust + GraphQL) with Rust bindings (tch-rs) for the C++ API of PyTorch (Libtorch).
View Projectmessing-with-python
June 17, 2020 – April 22, 2022
This repo will contain any references to deploy APIs with Python (FastAPI/Django/Flask) using the following: Vagrant, Docker containers, or AWS (Lambda, Gateway, EC2, Serverless, torchserve via PyTorch).
View ProjectCracking_The_Machine_Learning_Interview
June 3, 2019 – September 9, 2019
(Under Construction) I am currently writing a solution from the Medium article "Cracking the Machine Learning Interview," written by Subhrajit Roy. In the past year since the article went public, Subhrajit has only written down the questions with no update on the solutions. I plan on finishing the war. I may add more questions outside of the articles domain. No one else on the internet has written down a solution for machine learning interview, an opportunity I want to take advantage of.
View ProjectC_PlusPlus_Advance_Programming
May 24, 2019 – May 24, 2019
This repository contains projects from a UCSC Advanced Programming course.
View ProjectCracking_The_Coding_Interview
May 22, 2019 – October 20, 2020
(Under Construction) Solutions I attempt to solve, all in C++, from the book "Cracking the Coding Interview.", Triplebyte, LeetCode, and AlgoExpert & System Expert
View ProjectLabel_YT_Videos
June 3, 2018 – February 25, 2021
Trained an agent (PyTorch & Keras) to label a genre (E.g., Makeup, Games, Art & Entertainment, etc.) on a youtube video (audio & rgb) using a series of deep learning algorithms and compare each one to understand their strengths and weaknesses, and scalability properties.
View ProjectOpenCV_Projects
September 9, 2016 – September 3, 2021
List of OpenCV projects to further increase the computer vision community. Coding in Python & C++(In progress).
View ProjectCultural Fit Analysis
The candidate's extensive list of personal projects, many of which are 'under construction' or 'in progress', indicates a strong drive for continuous learning and exploration. This aligns well with a culture that values initiative and self-improvement. The diversity of projects, from computer vision to web development and interview preparation, suggests a broad technical curiosity. However, the lack of team-based projects or contributions to open-source beyond personal repositories makes it difficult to assess collaboration and community engagement aspects of cultural fit.
Soft Skills & Operational Fit
The candidate shows strong self-motivation and a proactive approach to learning and skill development, which are positive indicators for operational fit. The focus on solving complex problems (e.g., interview questions, computer vision challenges) suggests a resilient and problem-solving mindset. However, without psychometric test results or interview data, it's difficult to assess stress handling, team collaboration, or communication clarity in a professional setting.