cv

Basics

Name Ogechukwu Allison Kanu
Label AI Developer and Researcher
Email ogechukwukanu@gmail.com
Url https://allisonoge.github.io
Summary AI Developer and Researcher with 2+ years hands-on experience in representation learning and signal intelligence. Proven record training and shipping PyTorch models, migrating and maintaining production-grade codebases, and collaborating across academia and industry (Qoherent Inc., University of Calgary/Benin). Strong software engineering foundation (Python, C/C++, JavaScript), experiment tracking, documentation, and code reviews, plus practical DevOps exposure (Docker, CI/CD scripting). Also build LLM-based agent systems in side projects (tool use, planning, RAG, evaluation)

Work

  • 2024.01 - 2025.12
    Graduate Teaching Assistant
    University of Calgary
    Supported Software Architecture, Full-Stack Web Development, and Software Performance Evaluation courses.
    • Software Architecture (TA)
    • Full-Stack Web Development (TA)
    • Software Performance Evaluation (TA)
  • 2024.01 - Present
    Graduate Research Assistant
    University of Calgary
    Researching multi-task wireless foundation models trained using self-supervised learning on I/Q samples and federated pretraining. Implemented scalable training/evaluation loops and ablations; maintained artifacts and documentation for reproducibility.
    • Searched, reviewed, and summarized academic literature to support research projects.
    • Implemented scalable training/evaluation loops and ablations; maintained artifacts and documentation for reproducibility.
    • Prepared demo notebooks for research projects.
    • Wrote and published a conference article and journal paper.
    • Presented findings and contributions with clear communication.
  • 2024.01 - 2024.12
    Mitacs Research Intern
    Qoherent Inc.
    Designed, trained, tested, and iterated I/Q→spectrogram forecasting and signal localization/classification models (narrow & wideband). Refactored the training stack from FastAI to PyTorch; improved maintainability and reviewability. Built a self-supervised multi-task learning pipeline that produced an IEEE ICC 2025 publication. Collaborated closely with the team, tracked experiments, communicated results, and optimized training/evaluation throughput.
    • Refactored ML stack FastAI → PyTorch
    • Self-supervised multi-task pipeline (ICC 2025)
    • Throughput and accuracy optimization
    • Experiment tracking and reporting
  • 2023.01 - 2023.12
    Software Engineer Intern
    ALX Africa (IT Department)
    Completed a software engineering internship focused on full-stack application development, backend APIs, and deployment automation using C, Python, and JavaScript while strengthening problem-solving and data structures fundamentals.
    • Full-stack web apps with React/TypeScript, Flask, REST APIs, and SQL.
    • NGINX setup with HTTPS, reverse proxy routing, and load balancing.
    • Deployment automation with Puppet and Bash.
    • C utilities, file I/O, bit manipulation, and core data structures.
    • Git-based version control and collaboration.
  • 2020.01 - 2021.08
    Graduate Research Assistant
    University of Benin
    Co-developed spectrum analyzer with SDRs; built intelligent wireless system models for optimal RF usage. Co-authored multiple academic journals; collaborated with faculty and student teams.
    • Spectrum analyzer with SDRs
    • Intelligent wireless system models
    • Co-authored 4+ journals
  • 2018.06 - 2018.11
    Student Researcher Intern
    University of Benin
    Completed embedded systems projects (PIC). Built OpenBTS + USRP B210 cellular network prototype; FM TX/RX with HackRF One. Investigated wireless key-fob vulnerabilities via SDR; contributed to a DSP textbook; supported project reviews.
    • OpenBTS + USRP B210 prototype
    • HackRF FM TX/RX
    • Embedded systems (PIC microcontrollers)
  • 2018.01 - 2019.12
    Teaching Assistant
    University of Benin
    Supported Telecommunication Principles I and Microwave Engineering courses.
    • Telecommunication Principles I (TA)
    • Microwave Engineering (TA)

Education

  • 2024.01 - 2026.03

    Calgary, AB, Canada

    MSc
    University of Calgary
    Electrical & Software Engineering
    • Data Mining & Machine Learning
    • Dependability and Reliability of Software Systems
    • Advanced Networking (6G & Beyond)
    • Wireless Transceiver System Design
  • 2014.01 - 2019.12

    Benin City, Nigeria

    BEng
    University of Benin
    Electrical & Electronic Engineering
    • Telecommunication Principles I & II
    • Digital Communication
    • Microwave Engineering
    • Electromagnetism
    • Signals and System
    • Electronic Device & Circuits
    • Logic Design & Digital Circuits

Awards

Publications

Skills

Programming Languages
Python
C
C++
JavaScript
ML/AI
PyTorch
TensorFlow
Keras
Scikit-learn
FastAI
Data & Signal Processing
NumPy
Pandas
GNU Radio
MATLAB
DevOps/CI/CD
Git/GitHub
Docker
Large-scale/Distributed GPU Training
Libraries/Frameworks
LangChain
Google ADK
Flask
FastAPI
Databases
MySQL
PostgreSQL
SQLite
MongoDB
Others
Embedded systems
Academic writing
Clear communication
Presentation

Languages

English
Full Professional Proficiency
French
Beginner