About Me
Researcher. Engineer. Builder.
I'm a Ph.D. candidate in Computer Engineering at the University of Tennessee, Knoxville, researching computer vision, deep learning, and multimodal AI in the AICIP Group. My work spans tiny object detection, hyperspectral imaging, and vision-language models — targeting top-tier venues like ECCV, CVPR, and ICML.
Alongside my research, I have 4+ years of industry experience as a software engineer — building and shipping cross-platform mobile apps (10k–30k active users), full-stack web platforms, and scalable APIs across companies in Nigeria and remotely. I also serve as a Graduate Teaching Assistant for Deep Learning (COSC-525) and Circuits II (ECE-201).
My goal is to build efficient, high-performance AI systems that solve real-world problems — bridging the gap between research and production engineering.
Education
University of Tennessee, Knoxville
Ph.D. in Computer Engineering
Aug 2024 – Present
Federal University of Technology Akure
B.Eng. Computer Engineering · First Class Honors
Graduated 2021
Research Focus
- ✦
Tiny object detection for tire defect analysis (FCOS, RetinaNet, SSD) — 10–15% mAP improvement
- ✦
Vision-language models (CLIP, LLaVA) for representation learning and downstream image understanding
- ✦
Temporal ML models (LSTM, Transformers) for bovine mastitis detection — 91% accuracy
- ✦
Hyperspectral image classification with PCA, autoencoders, and MVC-NMF
Engineering Strengths
- ✓
TypeScript-first, end-to-end type safety (tRPC + Next.js App Router)
- ✓
Cross-platform mobile with React Native & Expo — shipped to App Store & Play Store
- ✓
AI integration — RAG pipelines, Vercel AI SDK, Pinecone vector search
- ✓
CI/CD automation and cloud deployments (AWS, GCP, Vercel, DigitalOcean)
Experience
Graduate Research & Teaching Assistant
University of Tennessee, Knoxville · Aug 2024 – Present
AICIP Group research + TA for Deep Learning (COSC-525) and Circuits II (ECE-201)
Hyperspectral Image Analyst Intern
EnSenSys · Jun 2025 – Aug 2025
Hyperspectral classification pipelines; 8pp accuracy gain, 25% faster feature extraction
Software Engineer
Spinel Consulting · Mar 2023 – Aug 2024
React Native apps serving 10k–30k users; CI/CD reduced release time by 75%
Software Engineer
Softwater Solutions · Apr 2022 – Mar 2023
Accelerated mobile dev cycles 50%; reduced load times 50% via performance optimization
Software Engineer
Sabi · Nov 2021 – Apr 2022
React/Next.js web interfaces; mobile-first strategy improved user retention by 20%
Publications
A. Cozma, H. A. Ijadunola, J. Dosch, C. Murphy, H. Qi. “Architecture Follows Data: CNN Backbone Design for Tiny Object Detection.”
F. M. Dahunsi, H. Ijadunola, A. O. Melodi, A. A. Ponnle. “Analysis of GSM, Wi-Fi and LPWAN Communication Technologies for Smart Energy Metering Circuits.”
My Work
Projects
What I Know
Skills & Technologies
Get In Touch
Contact Me
I'm currently open to fullstack and mobile internship opportunities. If you have a project in mind or want to chat about tech, feel free to reach out.