Stephen Sookra
Personnel File
Stephen Sookra
Operator // Software Engineer
Status
Active
GPA
3.8 / 4.0
Clearance
CS / AI-ML
Missions
7× Hackathon
Briefing
Software engineer with hands-on experience in XR development, full-stack engineering, and machine learning. Currently interning at XR DOJO, where I contribute to an augmented reality mobile game in Unity and lead the migration of game interfaces to React.
I thrive in fast-paced, collaborative environments — from cross-functional product teams to weekend hackathons — and I'm driven by the challenge of shipping polished, impactful software.
My goal is to build technology that pushes boundaries, whether it's immersive experiences, AI-powered tools, or products that make a real difference.
Education
Kennesaw State University
Bachelor of Science in Computer Science
Concentration: AI and Machine Learning
Expected May 2028
Tech Arsenal
Languages & Frameworks
Developer Tools
Commendations
Mission Log // Projects
StepSafe
AI-Powered Diabetic Foot Ulcer Detection
- Built an AI-powered web app that classifies diabetic foot ulcers from uploaded images, providing instant severity scores and recommended clinical actions
- Trained a TensorFlow/MobileNetV2 model on ~20,000 annotated medical images, achieving objective wound assessment where clinicians misclassify 30–40% of the time
- Engineered end-to-end architecture with FastAPI backend and React/Vite frontend with clinical report generation
PyroLens
AI-Powered Prescribed Burn Optimizer
- Built a real-time dashboard with live IoT sensor data, burn readiness scoring, and ML-backed burn window predictions
- Integrated NOAA weather, Sentinel Hub NDVI satellite imagery, and FIRMS fire data APIs for environmental analysis
- Engineered full-stack architecture with ESP32 hardware (DHT22 + soil moisture), FastAPI backend, and Supabase
EchoPay
Voice-Native Stablecoin Payments
- Built a blockchain-based payment system enabling low-literacy users to transact via voice commands
- Implemented onchain identity verification with voiceprint security and deepfake detection algorithms
NeoGuide
AI-Guided Neonatal Intubation System
- Built a smart sensor-guided neonatal intubation system using Google Gemini Vision API for real-time webcam analysis and ElevenLabs TTS for clinical voice guidance during procedures
- Developed a React/Vite frontend with a real-time video pipeline and clinical dashboard, integrating Raspberry Pi edge computing for portable bedside deployment
- Built at Hacklytics 2026 (Georgia Tech), addressing neonatal intubation errors that affect over 50% of first attempts in NICUs
Service Record
Software Engineer Intern
XR DOJO — Atlanta, Georgia
- Contributing to ATL Quest, an augmented reality mobile game built in Unity targeting XR devices
- Leading the planned migration of game interfaces and experiences to React for improved performance and maintainability
- Collaborating with a cross-functional team of developers, designers, and creatives in a fast-paced, project-based environment focused on immersive technology and XR development
AT&T 2025 Technology Academy
Issued by AT&T College Recruiting
Foundational training in network troubleshooting, 5G technology strategy, and cloud computing fundamentals
Dossier
Establish Comms
© 2026 Stephen Sookra — All rights reserved