Stephen Sookra
Personnel File
Stephen Sookra
Operator // AI Engineer
Status
Active
GPA
3.8 / 4.0
Clearance
CS / AI-ML
Missions
5× Hackathon
Briefing
I enjoy turning ideas into working products through coding, hackathons, and collaborative projects. My experience spans full-stack development, machine learning concepts, and software engineering, and I'm constantly learning new tools to improve my skills.
Recently, I've worked on projects involving AI-powered applications, fintech solutions, and data-driven tools, often collaborating with teams to prototype and ship ideas quickly.
My goal is to grow as a software engineer and innovator, building technology that is impactful, practical, and accessible.
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
Hexbear
Gamified Climate-Action App
- Built a cross-platform mobile app that gamifies sustainability by turning recycling and energy conservation into wizard-themed quests with GHG tracking
- Integrated Google Cloud Vision API with a custom scoring algorithm for AI-powered recyclability detection
- Engineered full-stack architecture with Supabase Auth, PostgreSQL with RLS, and cloud storage
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
Barista
Starbucks — Atlanta, Georgia
- Deliver excellent customer service in a fast-paced team environment while maintaining quality standards
- Collaborate with team members to ensure smooth operations and efficient workflow during peak hours
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