Computer vision · Spatial awareness
Ona
Object Navigation Assistant that turns camera input into object, depth, face, and scene state for real-time spatial awareness.
- Object detection
- Depth
- Face recognition
Work
Selected work.
I work across computer vision, applied machine learning, backend systems, and product engineering. These projects are the clearest expression of how I think: start with messy real-world input, make it legible, then build something dependable around it.
Projects
Local-first AI · Vision and voice
AVI
A local-first visual and conversational assistant combining on-device vision and wake detection with natural voice interaction.
- On-device vision
- Wake detection
- Voice interaction
- Local-first AI
Machine learning · Computer vision
FriendNet
A custom vision model for friendly-face classification, evaluated against ResNet and CLIP baselines across accuracy, robustness, latency, and real-world image quality.
- Custom CNN
- ResNet
- CLIP
- Model evaluation
Product · ML and backend systems
Copnow
A marketplace I co-founded, where I led ML and backend work across trust, commerce, analytics, APIs, and recommendation-oriented product signals.
- Marketplace systems
- Analytics
- APIs
- Product leadership
Rust · Developer infrastructure
Orchestra
A Rust and macOS synchronization daemon for AI coding workspaces, built around deterministic templates, atomic writes, and drift detection.
- Rust
- macOS
- Atomic writes
- Drift detection
Experience
Current
Machine Learning Engineer (Contract)
Citi · Contract assignment through Collabera
Working on a contract assignment with Citi through Collabera as a Machine Learning Engineer.
Jan 2026 — Apr 2026
Machine Learning Engineer, Co-op
Ontario Public ServiceToronto, Ontario
Built production RAG and LLM workflows for security and log intelligence using AWS Bedrock, Python, evaluation pipelines, and operational dashboards.
- Reduced analyst triage time by 35% with an AWS Bedrock RAG pipeline over historical security and log data.
- Built agentic workflows for DataLake log streams and evaluated retrieval relevance, answer usefulness, latency, and drift.
Jan 2022 — Jan 2025
Backend Engineer
SHIIPRemote · United States
Built high-throughput Go and Python services, REST APIs, and event-driven systems for real-time logistics workflows.
- Reduced response times by 40% across core data services.
- Improved workflow reliability through validation, observability, asynchronous processing, and query optimization.
Aug 2021 — May 2024
Co-Founder and ML / Backend Lead
CopnowHybrid · Nigeria
Led product discovery, ML and backend architecture for a commerce marketplace with trust, fulfilment, analytics, and personalization workflows.
- Built APIs handling more than 10,000 daily requests with 40% lower latency.
- Led a small engineering team and used product activity signals to inform recommendation features.
Jan 2021 — May 2021
Full-stack Developer
CuracelRemote · United States
Worked on practical web systems spanning application security, localization, and user experience.
Apr 2020 — Oct 2020
Backend Developer
TEEK-TECHPort Harcourt, Nigeria
Built and maintained backend endpoints and translated product designs into functional web experiences.
Education
Jan 2025 — Apr 2026
Graduate Diploma, Artificial Intelligence (Co-op)
Fanshawe College
Completed with a 4.2 GPA, covering supervised learning, deep learning, generative AI, recommendation systems, deployment, and MLOps.
Oct 2016 — Dec 2020
BSc, Computer Science
Madonna University
Completed a thesis on a sensor-guided autonomous vehicle using Arduino, ultrasonic sensing, Bluetooth, and an Android controller.
Toolkit
Applied machine learning
- PyTorch
- OpenCV
- scikit-learn
- CLIP
- Model evaluation
- Computer vision
Generative AI
- AWS Bedrock
- RAG systems
- LLM agents
- LangChain
- LangGraph
- Semantic search
Backend and infrastructure
- Python
- Go
- Rust
- FastAPI
- REST APIs
- SQL
- Docker
- CI/CD