Ona
Computer vision · Spatial awareness
Object Navigation Assistant that turns camera input into object, depth, face, OCR, and scene state for real-time spatial awareness.
About
Miracle Chris-Mba
Machine Learning Engineer
I build applied machine learning systems, with a keen interest in computer vision and models that make messy visual input useful.
Toronto, ON, Canada
01
What I’m building toward
Computer vision keeps pulling me in: scenes, objects, faces, products, and the meaning hidden inside a frame. I want to build perception systems people can trust under messy lighting, partial views, and real-world uncertainty.
My path into ML began in backend engineering. That foundation still shapes how I work: reliable APIs, observable services, careful evaluation, and systems that survive outside a notebook.
02
Things I built
AVI
Local-first AI · Vision and voice
A local-first visual and conversational assistant combining on-device vision and wake detection with natural voice interaction.
FriendNet
Machine learning · Computer vision
A custom vision model for friendly-face classification, evaluated against ResNet and CLIP baselines across accuracy, robustness, latency, and real-world image quality.
Copnow
Product · ML and backend systems
A marketplace I co-founded, where I led ML and backend work across trust, commerce, analytics, APIs, and recommendation-oriented product signals.
Orchestra
Rust · Developer infrastructure
A Rust and macOS synchronization daemon for AI coding workspaces, built around deterministic templates, atomic writes, and drift detection.
03
Experience
Jan 2026 — Apr 2026
Machine Learning Engineer, Co-op
Ontario Public Service · Toronto, 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
SHIIP · Remote · 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
Copnow · Hybrid · 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
Curacel · Remote · United States
Worked on practical web systems spanning application security, localization, and user experience.
Apr 2020 — Oct 2020
Backend Developer
TEEK-TECH · Port Harcourt, Nigeria
Built and maintained backend endpoints and translated product designs into functional web experiences.
04
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.
Certified 2022
AWS Certified DevOps Engineer
Cloud deployment, delivery pipelines, monitoring, and operational reliability.
05
Working 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
Next
Building something ambitious?
I’m interested in computer vision, applied ML, and backend systems.