Victor Sim
Software Developer & AI Researcher
Passionate about creating interesting business applications through AI, Computer Vision, and Full-Stack Development. Currently working on cutting-edge research at UTD and applying for new opportunities (Full-Time or Internship) (Full-Stack / AI / Computer Vision).
About Me
Driven by curiosity, perspective, and hard work in technology
I'm a software developer and AI researcher with a strong foundation in computer science and a drive to solve complex problems through technology. My journey spans from co-authoring a research paper with OpenAI and Meta researchers to developing computer vision systems for NASA and creating predictive analytics models for enterprise applications.
Currently pursuing my Bachelor's in Computer Science at the University of Texas at Dallas, I'm actively involved in cutting-edge research projects, leading technical initiatives, and contributing to open-source autonomous driving development. My work focuses on AI, machine learning, computer vision, and full-stack development.
Recent Achievements
- 🏆 3x Hackathon Winner (TouchGrass 2x, NASA Micro-G Next)
- 📄 Co-authored research paper with OpenAI/Meta researchers
- 🚀 Top 3 NASA Challenge Team
- 🎓 Dean's List & President's List (Collin College)
- 🔬 NSF SSTEM Scholar & Conference Presenter (San Diego 2025) (CLVision Hawaii 2025)
- 💻 CodePath Graduate (Multiple Advanced Courses)
- 🏅 HackRice 2025: Best Dev Tool & 2nd Place Video AI
AI & Machine Learning
- Computer Vision (YOLO, OpenCV)
- Predictive Analytics (LightGBM)
- Neural Networks (PyTorch, TensorFlow)
- Cross-Modal Learning
Development
- Full-Stack Development
- React, TypeScript, Node.js
- Python, C++, Java
- Cloud & DevOps
3D Art & Game Development
- 3D Modeling (Blender)
- Texture Design & UV Mapping
- Game Modding & Asset Creation
- Unity & Game Engines
Experience
Professional journey and research contributions
Meta Research (Algoverse AI) - Research Intern
AI Research & Cross-Modal Learning
Co-authored DCLIP research paper with OpenAI and Meta researchers, achieving up to 29% relative improvements in text-to-image retrieval. Developed teacher-student learning framework with 15-35% performance gains across model sizes using PyTorch and advanced vision techniques. Accepted into CLVision Conference.
arXiv Paper
NASA Micro-G Next Challenge - Winner & Research Intern
Computer Vision & Search & Rescue Systems
🏆 Winner of NASA Micro-G Next challenge / research hackathon from competitive selection process! Submitted research proposal and competed against Boise State and Columbia University for best software solution. Worked directly with NASA engineers at the Neutral Buoyancy Laboratory, testing computer vision systems for Search & Rescue operations. Engineered object-detection system reducing detection delay by 30%, implemented Python-trained YOLOv8 ML model with 90% accuracy, and integrated Flask RESTful API with React frontend. Featured in university newspaper.
UTD News Article
Frontier Communications - Data Scientist Intern
Breakthrough Tech (Cornell Tech & Verizon) Partnership
Selected for prestigious Breakthrough Tech program by Cornell Tech and Verizon. Spearheaded scalable predictive analytics model using Python libraries, reducing unnecessary technician dispatches by 15%. Analyzed 50,000+ datapoints from customer interactions and telemetry data, improving customer satisfaction from 74% to 76% through real-time dispatch optimization.
BreakThroughTech.org
Nova Autonomous Driving - Research Team Member
Autonomous Vehicle Development
Contributing to UT Dallas's premier autonomous driving project developing open-source autonomous driving stack. Working on computer vision, path planning, and vehicle control systems for real-world autonomous vehicle deployment and research applications.
Project Website
Association of Computer Machinery - Student Leader
Leadership & Community Building
NSF STEM Transfer Student Officer and Leetcode Bootcamp Student Peer. 4x Hackathon participant with 3 wins, including TouchGrass (2x winner) and Prophecy projects. Leading technical workshops and peer mentoring programs.
LinkedIn ProfileEducation & Certifications
Academic achievements and professional development
University of Texas at Dallas
2023 - 2027Bachelor of Science, Computer Science
NSF SSTEM Scholar • Dean's List • President's List (Collin College)
CodePath Advanced Courses
2023 - 2025Professional Software Development Training
Comprehensive full-stack development and cybersecurity courses
Cybersecurity
Advanced security concepts and ethical hacking
Web Development
Full-stack development with modern frameworks
Mobile Development
iOS and Android app development
Technical Interview Prep
Data structures, algorithms, and system design
Professional Certifications
2022 - 2024CompTIA A+
IT Fundamentals & Hardware
Google IT Support
IT Support Specialist
Network+
Network Administration
Security+
Cybersecurity Fundamentals
Featured Projects
Showcasing my work in AI, web development, and simple robotics
TouchGrass - AI Burnout Prevention
Proactive burnout prevention tool for software engineers that monitors developer wellbeing through multiple data streams. Integrates GitHub commit patterns, Linear productivity metrics, WakaTime coding hours, and real-time mood analysis via webcam using TwelveLabs Pegasus API to calculate burnout risk scores and provide proactive wellness reminders.
Database Threat-Scope Security Platform
Prototyped full-stack end-to-end vulnerability scanning platform with automated AI-powered risky code mitigation achieving 85.6% recall rate, real-time dashboard with 12+ metrics, & instant security assessment across 100k+ PHP files. Designed parsing pipeline via 10k+ training PHP files (TF-IDF vectorization/taint analysis), achieving prod-ready deployment.
Raytheon Senior Capstone - ML Plane Engine Emissions Forecast
Engineered a comprehensive predictive analytics web application for aircraft engine emissions forecasting using machine learning. Built full-stack system with MATLAB model development, Django REST API, React frontend, and PostgreSQL database. Developed comprehensive dashboards for data visualization and emission pattern analysis, achieving 90% accuracy with Bagged Trees model and Docker containerization. Generated optimized C code for production deployment.
Nova - Autonomous Driving Research
UT Dallas's premier autonomous driving project developing open-source autonomous driving stack for researchers. Working on computer vision, path planning, and vehicle control systems for real-world autonomous vehicle deployment.
DCLIP: Cross-Modal Distillation Framework
Co-authored research with OpenAI and Meta researchers on cross-modal transformer distillation. Developed a meta teacher-student framework using YOLO-extracted image regions and bidirectional cross-attention. Achieved up to 29% relative improvements in text-to-image retrieval while maintaining 94% zero-shot accuracy, trained on only 67.5K samples from MSCOCO, Flickr30k, and Conceptual Captions.
Anime Game Modding & 3D Art
Simple 3D artist and game modder specializing in anime-style games. Creating custom models, textures, and modifications for Genshin Impact, Wuthering Waves, and Zenless Zone Zero. Focus on character customization, environmental assets, and visual enhancements.
Kroger What - Kotlin Mobile App
Developed "Kroger What" mobile application through CodePath's intensive Kotlin curriculum. Built comprehensive Android app with modern UI/UX design, database integration, and API connectivity. Created grocery shopping assistant with barcode scanning, product search, and shopping list management features.
Toyota HackFesta CTF
Participated in Toyota's prestigious CTF competition, developing and testing attack scripts and defenses for automotive technology challenges. Collaborated with cross-functional teams to create cutting-edge applications addressing real-world transportation and mobility problems.
Prophecy - AI Financial Predictor
Machine learning-powered financial insights tool for underbanked populations. Uses LightGBM to predict loan approval rates and default risk based on user financial data, promoting financial inclusion and literacy. Analyzes over 1 million datapoints from Kaggle's Home Credit Default Risk dataset.
Latest Blog Posts
Thoughts on technology, AI, and software development
DCLIP: Cross-Modal Distillation for Vision-Language Models
Co-authored research with OpenAI and Meta researchers on cross-modal transformer distillation, achieving 29% improvements in text-to-image retrieval while maintaining 94% zero-shot accuracy.
Read PaperTouchGrass: Double Victory at HackRice 2024
🏆 Double victory at HackRice 2024! Built TouchGrass with teammates Roman Hauksson and Le Duy Pham. Won 🥇 Best Developer Tool (Warp challenge) and 🥈 2nd Place Best Video AI Hack (TwelveLabs challenge).
Threat-Scope: AI-Powered Vulnerability Scanner
Built full-stack end-to-end vulnerability scanning platform with automated AI-powered code mitigation achieving 85.6% recall rate. Engineered ML pipeline processing 100k+ PHP files with real-time dashboard featuring 12+ security metrics and instant threat assessment.
Prophecy: AI-Powered Financial Inclusion
Developed a simple machine learning application for underbanked populations using LightGBM and FastAPI. Creating accessible financial prediction tools to promote economic empowerment with over 1 million datapoints from Kaggle's Home Credit Default Risk dataset.
Raytheon Senior Capstone: ML Plane Engine Emissions Forecast
Engineered a comprehensive predictive analytics web application for aircraft engine emissions forecasting. Achieved 90% accuracy using Bagged Trees model with Docker containerization and real-time data visualization dashboards.
Watch PresentationKroger What - Kotlin Mobile App
Developed "Kroger What" mobile application through CodePath's intensive Kotlin curriculum. Built comprehensive Android app with modern UI/UX design, database integration, and API connectivity. Created grocery shopping assistant with barcode scanning and product search features.
Watch DemoNova: Open-Source Autonomous Driving Stack
Contributing to UT Dallas's premier autonomous driving project, developing computer vision and path planning systems for real-world autonomous vehicle deployment.
Learn MoreLet's Connect
Ready to collaborate or discuss opportunities
Get In Touch
I'm always interested in new opportunities, collaborations, and meaningful conversations.
GitHub
github.com/VicAlexSimLocation
Allen, TX, United StatesLet's Connect!
I'm always interested in discussing new opportunities, collaborations, or just having a chat about emerging tech and detailed system design.
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