Developer

01. About Me

As a first-generation immigrant, I bring a unique perspective and unwavering determination to the field of web development. My journey has been fueled by a deep passion for creating innovative solutions that can transform lives. Over the years, I've gained valuable experience and honed my skills, which have only strengthened my ambition to make a lasting impact in web development. I'm constantly seeking new challenges and opportunities to grow, and I thrive on collaborating with others to bring ideas to life. Let's connect and explore how we can make a difference together!

Skills

Experience

Education

Technical Skills

Python C++ Java JavaScript/TypeScript Ruby Go React Node.js SQL OOP Git Perforce Verilog Kotlin Linux DirectX OpenGL Vulkan CUDA OpenCL

Essential Skills

Teamwork Communication Problem-Solving Leadership Time Management

Certifications

LinkedIn JavaScript Essential Training Learning Python What Is Web3? Microsoft Cloud for Sustainability

Jan 2024 – Mar 2025
AI4ALL — Undergraduate Research Intern
Developed predictive models for medical imaging and brain tumor detection, enhancing accuracy through machine learning and neural networks. Gained professional project experience and explored AI ethics, biases, and fair AI use.
Jul 2024 – Jan 2025
Webacy — Web3 Security Data Analytics Intern
Analyzed blockchain transaction patterns for fraud detection and developed machine learning models for smart contract risk assessment. Participated in workshops on DeFi security and blockchain vulnerability.

2023 – May 2026 (Expected)
UC Merced — B.S. in Computer Science & Engineering
GPA: 3.83
Relevant Coursework: Data structures, Algorithms, Stats & Probability, Boolean Algebra, Discrete Mathematics
Affiliations/Honors: College Track East Palo Alto (2022-Present), CSF Member (2023-Present), 10,000 Degrees Scholarship (2023-Present), PCF Scholarship (2023-Present)

02. Featured Projects

Innovative solutions that make a difference

Winner • HackDavis 2025

EthicScope

Founding Team Member • April 2025 - Present

Built a mobile and web app to scan product barcodes and provide ethical risk insights with interactive supply chain maps and greenwashing detection. Developed backend with Flask, MongoDB, Cerebras, and Tavily; frontend using Next.js, React, and Tailwind CSS.

Flask MongoDB Next.js React Tailwind CSS

View Project

Winner • SF Hacks 2025

AIVue: Control with Vision

Team Lead & Developer • March 2025 - Present

Developed a hands-free computer interface using eye/head tracking, blink detection, and speech-to-text commands for accessibility. Built with Python, MediaPipe, OpenCV, PyQt6, PyAutoGUI, Vosk, and MongoDB Atlas; applied Kalman filters and agentic AI.

Python MediaPipe OpenCV PyQt6 MongoDB

View Project

AI4ALL Research

AI Tumor Detection ML Model

Undergraduate ML Researcher • January 2024 - Present

Led development of a VGG-16 model for tumor detection in brain MRI scans, enhancing early healthcare detection. Collaborated with interdisciplinary teams to integrate the model into medical diagnostic systems, improving diagnostic accuracy and patient outcomes.

Python TensorFlow Keras NumPy Scikit-learn

Learn More

03. Experience

Aug 2025 – Present

Undergraduate Researcher

PADSYS LAB — Merced, CA

Conducting research in parallel and distributed systems, contributing to cutting-edge computational solutions
Collaborating with faculty and graduate students on advanced research projects

Aug 2025 – Present

Weather Station Researcher

MERT, UC Merced — Merced, CA

Working on the CH4HgDRONE project, developing innovative solutions for environmental monitoring
Researching and implementing weather station technologies for data collection and analysis

Jan 2024 – Mar 2025

Undergraduate Research Intern

AI4ALL — San Francisco, CA

Developed a predictive model for medical imaging and brain tumor detection, enhancing accuracy through collaboration on machine learning and neural networks
Gained professional project experience and expanded networking opportunities while exploring AI ethics, biases, and fair AI use

Jul 2024 – Jan 2025

Web3 Security Data Analytics Intern

Webacy — San Francisco, CA

Analyzed blockchain transaction patterns for fraud detection and developed machine learning models for smart contract risk assessment
Participated in workshops on DeFi security and blockchain vulnerability, gaining insights into Web3 security challenges

Hi, I'm Amir Khabaza