Magic Mitts
1st Place UTSA Tech Symposium • Affordable haptic VR glove with electromagnetic braking. 18% latency reduction, 24% comfort improvement.
XR
Hardware
Unity
Hey there! 👋🏾
I'm Rabiat — I Build
XR × ML Magic
I am a creative technologist and interdisciplinary engineer working across AI/ML, XR, and software systems. I build end-to-end pipelines and interactive prototypes, move fast from idea to working demo, and enjoy turning messy inputs (video, sensors, user interaction) into tools that are useful, meaningful, and actually work. I learn quickly, adapt when things get hard, and build whatever is needed to get the job done. MHCI @ CMU.
Applied ML
XR / Unity
HCI Research
Computer Vision
Data Pipelines
↓
Featured Projects
A selection of my most impactful work
Multimodal Unstructured Data Pipeline
Modular pipeline converting unstructured video, audio, and sensor data into structured, timestamped events. Production-ready processing with Ray, FFmpeg, and MLflow.
ML
Data
CV
Spotify vs AI Research
UX research exploring how listeners perceive AI-generated music and build trust through transparent labeling.
HCI
Research
UX
Assuage — Health ML
Distress prediction from HealthKit biometrics using logistic regression. 82% test accuracy with CoreML on-device inference.
ML
iOS
Health
VR Music Visualizer
Audio-reactive 3D environments with gesture input. Quest 2 app built with Unity and Meta XR SDK.
XR
Unity
VR
XR Pain Perception
CMU research: Multimodal XR prototypes studying how visual, auditory, and ambient cues influence pain perception.
XR
Research
HCI
Experience
My journey in tech and research
-
Project Manager & Engineer — Amazon Music Capstone
Spring 2026 – Present
CMU MHCI capstone project partnering with Amazon Music to explore and enhance the music discovery experience.
UX Research ML Product -
AI Research Engineer — Xbox
Spring 2026 – Present
Xbox x CMU Measuring Social: Research collaboration with Xbox exploring AI-driven approaches to measure and understand social interactions in gaming environments.
AI Research Gaming -
Research Assistant — CMU Augmented Perception Lab
Sep 2025 – Present
Building multimodal XR prototypes to study pain perception. Unity/C# development with structured logging for future ML-driven personalization.
XR Research HCI -
Applied ML Intern — PlayStation (SIE)
Summer 2025
Built end-to-end pipeline for gameplay score extraction from streaming videos. Parallel cloud ingestion (Ray), FFmpeg clipping, OpenCV processing, Databricks workflows (PySpark, MLflow). 60%+ faster processing.
ML Data Industry -
Co-founder / AI & Full-Stack Engineer — Applied STEM
2024
Built AI-powered technical interview platform with React/TypeScript canvas and FastAPI backend. Integrated LLMs with circuit topology for adaptive technical interviewer.
ML Hardware Product -
AI/VR Research Assistant — UTSA
Aug 2023 – Dec 2024
Research on AI-empowered VR content analysis addressing harassment and safety issues. Built Unity/C# prototypes and explored supervised learning/LLM methods for behavior classification.
Research XR ML -
Apple NACME AIML Intensive — USC
Jun – Aug 2024
8-week intensive covering EDA, feature engineering, model training/evaluation, deployment. Completed 35 projects including Health ML (Assuage), image classification, and CoreML deployment.
ML iOS Health -
Google Software Product Sprint
Summer 2022
Co-built Talky Talky, an audio-responsive web app supporting non-verbal children. Integrated Google Cloud Text-to-Speech APIs.
Product Web
Education
Academic background
Carnegie Mellon University
Master of Human-Computer Interaction
Current
HCI
XR
ML
University of Texas, San Antonio
B.S. Computer Engineering
Minor in Computer Science
Software
Hardware
AI
University of Southern California
Apple NACME AIML Intensive
8-week bootcamp • 2024
35 Projects
Deep Learning
Alief Early College Highschool
Skills & Technologies
Technologies I work with
Machine Learning / CV
Python
PyTorch
scikit-learn
OpenCV
TensorFlow
Data Pipelines
Ray
Databricks
PySpark
MLflow
FFmpeg
XR / Unity
Unity (C#)
Meta XR SDK
VR Prototyping
AR
Mobile / Cloud
Swift (iOS)
Core ML
HealthKit
AWS
GCP
Web / Full-Stack
React
TypeScript
FastAPI
JavaScript
Hardware / Embedded
Microcontroller
Sensor & Signal Processing
ESP32
Sensors
Research Methods
User-Centered Research
UX Evaluation
HCI Research
Experimental Design
Data Collection
Qualitative Analysis
Awards & Recognition
Achievements and honors
1st Place — UTSA Tech Symposium
Magic Mitts haptic VR glove project won top prize out of 89 teams. Recognized for innovation in affordable haptics and human-centered design.
Apple NACME AIML Intensive
Selected for intensive 8-week program at USC. Completed 35 projects covering ML fundamentals, deep learning, and iOS deployment.
Scholarships
Michael and Susan Dell Scholar, Horatio Alger Association Texas Scholarship, Apple Scholar Program, UTSA ECE scholarships.