Backend · AI · Cloud
Hey! I’m Noel, a Computer Science student at UT Dallas with a strong interest in AI/ML, software engineering, and cloud. I have over a year of industry experience building everything from generative agents and predictive models to facial recognition platforms and AI education tools—using AWS to tie it all together. Whether I’m leading a team or deep in code, I’m all about creating intelligent systems that are useful, clean, and fun to work on.
Portfolio
A selection of projects showcasing my work in AI, backend systems, and full-stack development.
Jan 2026 - May 2026
An AI-powered disaster assessment system that compares pre- and post-disaster aerial imagery to detect structural changes, classify damage severity using LLaMA 3.2 Vision & SAM, and surface visual heatmaps through a cloud-backed React dashboard with natural-language analysis.
Apr 2025 - May 2025
Hydra is a visual IDE for building and orchestrating multi-agent AI systems. It allows developers to design reasoning workflows by connecting agents, tools, and knowledge sources through a drag-and-drop canvas, enabling complex AI pipelines powered by Nemotron models and real-time orchestration.
Dec 2024 - Mar 2025
OneFace is a cloud-native facial recognition platform that automates attendance tracking using real-time face matching. Built on AWS Rekognition, Lambda, and DynamoDB, it enables fast, secure check-ins while eliminating manual verification and reducing operational overhead.
Nov 2024 - Dec 2024
A distributed healthcare record prototype engineered with Go, Kafka, PostgreSQL, and Redis. Features Raft-style leader coordination to enforce single-writer consistency across patient record updates in distributed environments.
Feb 2024 - May 2024
A real-time video transformation platform that leverages StreamDiffusion to create movie-quality visual effects. Using YOLOv8 for object detection, Mobile SAM for segmentation, and custom inpainting models, CineFussion enables users to selectively transform objects or people in video streams — turning themselves into movie characters, actors, or celebrities in real-time.
Jan 2024
An innovative robo-advisor that combines Machine Learning with Modern Portfolio Theory to democratize intelligent investing. The platform profiles users based on risk aversion using a five-layer LSTM Recurrent Neural Network, then applies the Black-Litterman Optimization Model to diversify portfolio allocations by sector.
Sep 2023 - Nov 2023
A mobile-first schedule coordination app built with Firebase and Flutter. ShareSched uses Google Cloud OCR to extract details from uploaded schedule images, implements intelligent schedule comparison algorithms for group planning, and features ScheduleGPT — a custom chatbot powered by NebulaAPI and GPT that helps users find optimal meeting times.
Career Journey
Building impactful software across enterprise environments and student organizations.
IBM
Built multi-agent RAG pipelines for test generation and enforced schema validation for LLM outputs.
Signet Jewelers
Built automation tools and resolved infrastructure challenges for enterprise AWS systems.
Frontier Communication
Developed automation solutions to streamline vendor invoice processing workflows.
Association of Computing Machinery at UTD
Leading student developer teams to deliver innovative web, AI, and mobile applications.
Technical Expertise
The technologies and tools I use to build production-ready systems.
Programming languages I work with
Server-side, databases, and message brokers
Cloud architecture and container orchestration
AI frameworks, RAG pipelines, and test automation
Client-side web and mobile frameworks
const engineer = {
name: "Noel Emmanuel",
school: "UT Dallas",
focus: "Backend · Cloud · AI",
certified: "AWS Cloud Practitioner",
available: true,
}
About Me
I'm a Computer Science student at the University of Texas at Dallas graduating in December 2026. My engineering focus lies at the intersection of artificial intelligence, backend systems, and cloud architecture.
I'm passionate about building scalable, production-ready systems that solve real-world problems. Whether it's orchestrating multi-LLM workflows with LangChain and AWS Lambda for enterprise automation, or developing end-to-end facial recognition and computer vision pipelines using PyTorch, I thrive on tackling complex architectural challenges.
With engineering experience at IBM and Signet Jewelers, alongside my AWS Cloud Practitioner certification, I emphasize reliability, performance, and automation in my work. Beyond coding, I lead student developer teams as a Project Manager at ACM UTD, guiding projects from initial scoping to production delivery.
5+
Major Projects
AWS
Certified
2026
Graduating
Get In Touch
I'm currently looking for new opportunities and collaborations. Whether you have a project idea, a question, or just want to say hello — I'd love to hear from you.