About me
Hi there, my name is Jay. I live in Atlanta, Georgia, and I graduated from UC Berkeley in Computer Science in 2024.
Alongside coding, my interests are:
- Road-trip
- Basketball
- Golf
- Tennis
- Music Composition
My industrial interests are in Software Engineering and Machine Learninging, because I like to use my CS knowledge to make life easier,
you wouldn't be surprised by how software can provide conveniences to people. Machine Learning is also amazing as well, how can a camera recognize
images, faces, objects, these are all contributed by Machine Learning algorithms.
My research interest is in Computational Biology. My previous research papers are in DNA repair and COVID-19 variants analysis. By getting helps from Machine Learning Algorithms, I can speed up a lot in the experiment stage than the traditional workflow. The prediction
I made by applying the ML algorithms have a very high accuracy with the traditional experiement results.
My motto: "Keep Learning, Keep Focus, Keep Progressing"
Education
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University of California, Berkeley
B.A. Computer Science 2022.08-2024.05
Core Courses: Machine Learning (CS189), Artificial Intelligence (CS188), Database Management System (CS186), Efficient Algorithms and Intractable Problems (CS170), Optimization Models in Engineering (EECS127), Computer Security (CS161), Data Structures (CS61B), Concepts of Probability (Stat134), Game Theory (Stat155)
Experience
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Robotics Engineer
VisionNav Robotics
Oct 2024 — Present• Deploy and fine-tune autonomous forklifts (AGVs) and optimize path scheduling, boosting client’s factory efficiency by 30%.
• Train YOLOv5 deep learning model for real-time detection of forklifts, humans, and goods to enhance warehouse safety.
• Configure Robotics Control System for task allocation, robot coordination, and integration with Warehouse Management System (WMS). -
Research Assitant
Sep 2022 — Present• Applying and Optimizing Machine Learning Algorithms (random forest, GNN, etc.) for biological data analysis.
• Write Shell Bash Scripts to perform Molecular Dynamic simulations, increasing calculation speed by 80% compared to traditional workflows.
• Develop and maintain the lab website using Docker for containerization and SSH for secure remote management.
• Coordinate collaboration between lab members and external partners, ensuring smooth communication and project alignment.
Selected Projects
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Jul 2023 - May 2024Machine Learning Projects (Python)
• Developed a Convolutional Neural Network (CNN) to classify CIFAR-10 images with 85.3% accuracy, ranking in the top 3% in Kaggle competition.
• Performed data cleaning and feature engineering, built a Random Forest model to predict Titanic survival with 82% accuracy, ranking in the top 5% in Kaggle competition.
• Implemented Recurrent Neural Network (RNN) and Neural Network to classify digits and language identification.
• Specified and fitted linear regression model to predict housing prices (≈ 85% accuracy)
• Classified junk and ham emails by a binary classifier (≈ 85% accuracy) -
Mar 2024Database Management System (Java)
• Implemented a distributed database system with lock-based concurrency control mechanism to manage multiple transactions concurrently, incorporating 2-Phase Commit (2PC) and 2-Phase-Locking (2PL).
• Worked on indexing mechanisms and SQL query optimization, leading to a 20% improvement in performance.
• Implemented the ARIES recovery algorithm to ensure robust database recovery and fault tolerance.
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Feb 2024Computer Graphics Projects (C++)
• Implemented a rasterizer with features like drawing triangles, supersampling, hierarchical transforms, and texture mapping with antialiasing, resulting in a functional vector graphics renderer for simplified SVG files.
• Developed geometric modeling techniques by building Bezier curves and surfaces using de Casteljau’s algorithm, manipulating triangle meshes with half-edge data structure, and implementing mesh upsampling. -
Mar 2023Data Analysis Projects (Python)
• “World Population and Poverty”: explored data from Gapminder.org to understand and analysis the world population and poverty.
• “Climate Change - Temperatures and Precipitation”: investigated data on climate change, and the long-term shifts in temperatures and weather patterns. -
Mar 2023Color Script (Python)
• An automatic script to find the differences between proteins and color the differences by user preference in ChimeraX.
My skills
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Python
90% -
Java
83% -
C/C++
85% -
SQL (MySQL, SQLite)
80% -
NoSQL (MongoDB)
90% -
Git
90% -
Docker
70% -
Data Analysis
93% -
Machine Learning
85%
