Hi, I'm Shawn Neill
Software Engineer
Full Stack Developer
AI/ML Practitioner
CS Masters Student
A passionate software engineering student with expertise in software engineering, full stack development, and AI/ML. Currently pursuing my Master's in Computer Science at Arizona State University.
Featured Projects
A showcase of my recent work and technical projects
Sunhacks 2025
A social planning and travel platform helping students stay connected, discover new places, and create unforgettable memories.
Key Features:
- Designed and launched a social location sharing platform enabling real time location sharing and messaging for estimated 50K+ active users
- Reduced group coordination time by ~40% through an AI powered triangulation system that suggested optimal meeting points and personalized activities
- Delivered a seamless user experience with <200ms real time chat latency and 100% uptime during live demos
Generate turbulance data from any map/image and determine the best path for drone navigation between two points.
Key Features:
- Designed a computer vision pipeline using OpenCV's Sobel edge detection to generate turbulence cost maps for efficient drone navigation with 95% accuracy
- Implemented Dijkstra's shortest path algorithm achieving optimal pathfinding and reducing error by over 25%
Sunhacks 2024
An Adobe Express add-on that can transcribe and translate your video's audio into a different language.
Key Features:
- Developed an Adobe Express add-on that translates video/audio transcripts into any language
- Designed a serverless backend using AWS Lambda and S3, enabling seamless processing of Base64 encoded files into Amazon Transcribe and Translate models
Skills & Technologies
Technologies and tools I work with to build amazing software
Java
Python
C++
C
JavaScript
TypeScript
SQL
C#
.NET
HTML
CSS11 languages technologies
Experience
My professional journey and key experiences
AI Quotient, Inc.
Tempe, Arizona
May 2025 - Present
- •Developed an agentic AI system in Python using Claude to intelligently route user prompts to 4+ specialized synthetic data generators, reducing task resolution time by over 60%
- •Integrated Pillow, NumPy, and pandas to develop a synthetic image dataset generator for segmentation and classification model training
- •Designed 2 microservice agents with LLM integration, enabling flexible task handling and reducing orchestration overhead by over 85%
AI Quotient, Inc.
Tempe, Arizona
January 2025 - May 2025
- •Developed a cross-platform mobile app using React Native, Node.js, and Firebase for food inventory management
- •Integrated barcode scanning with Expo and Google Cloud Vision API to automate food recognition, reducing manual input time by over 70%
- •Implemented secure authentication with Firebase Authentication and Google OAuth, integrating Firestore for real-time inventory tracking
TAU-XYZ
Mesa, Arizona
June 2024 - August 2024
- •Built React components to visualize parsed JSON event streams, improving data readability and interactivity
- •Integrated third-party APIs for real-time Algorand network transactions, increasing user engagement by 20%
- •Created a Twitter bot summarizing 250K+ daily JSON events into leaderboard metrics, generating 60K+ interactions and 300+ followers