About

My background

As a Software Engineering graduate from Toronto Metropolitan University, I am passionate about creativity, productivity, and building productivity-focused applications.

Through my professional and hobbyist experience developing SaaS applications with production-level tech stacks, I have honed my ability to create scalable, efficient products.

Check out my GitHub! - https://github.com/ElvisOkereke (Also linked in the top left)

Academically, one of my best achievements was completing our Capstone project focused on Mitigating Bias in large language models. The team developed PyTorch Fine Tuning Scripts for Sequential and Causal Models, leveraging PHD Papers and researched techniques such as; Social Contact Debias, and Gender Logits to reduce bias in LLM outputs by up to 50%, while maintaining model performance due to optimization strategies such as LoRA Configs, and Parameter Efficient Fine-tuning. (Also featured on GitHub)

I'm actively exploring new opportunities and would welcome the chance to discuss how I could contribute to your team. Feel free to reach out if you'd like to connect.

Experience

Automation and Data Specialist

Canada Life Insurance, Toronto

Start/End Date: Jan 2024 to Apr 2024

  • Developed a Testing Data Dashboard that increased testing efficiency by 25% for Team Leads by providing real-time metrics visualization
  • Engineered automated solutions using Jenkins and Zephyr, while adhering to strict security and compliance requirements
  • Implemented comprehensive end-to-end testing and documentation that adhered to the standardized testing methodologies across teams.

Automation and Data Specialist II

Canada Life Insurance, Toronto

Start/End Date: Jan 2025 to Apr 2025

  • Returned and worked with the Data and Automated solutions team, maintaining existing and building new systems with legacy and emergent technologies (Java, Python, Kafka)
  • Delivered 2 new fault-tolerant and highly available data automations tools, for use in conjunction with existing infrastructure.(SQL, REST API, Selenium, unit testing)

Explore Intern

Microsoft Corp, Toronto

Start/End Date: MAY 2022 to AUGUST 2022

  • Built a chatbot infrastructure using Azure AI services that addressed 2 key business cases, resulting in improved customer service efficiency
  • Participated in an Internal Hackathon, presented business tech solutions to over 10+ large Canadian company executives eg.(RBC, CIBC, and Microsoft)

Software QA Intern

Dark Slope Studios, Toronto

Start/End Date: Sept 2023 to Oct 2023

  • Participated in an Agile team with daily team stand-ups, weekly stakeholder demos, and helped manage team stories (using JIRA) for 2 major deliverables.
  • Troubleshoot and isolate issues, submit bugs and work with developers
  • Identify areas of improvement from QA perspective and follow-up with solutions

CEO of BavarianTunes

Private Label Brand, Automotive Parts

Start Date: JUNE 2022

  • Private Label Amazon FBA Company, selling bespoke automotive parts and electronics with over $2000 in sales (YTD).
  • Bavarian Tunes was created to build BMW performance and enthusiast parts, and our goal is to make them readily available in in our country Canada. We aim to bring products to the market such as; bespoke BMW performance parts, forced induction tunes, and accessories.
  • Click here to view our products in 3D

High School STEM Tutor

Tutor Doctor Corporation, Toronto

Start/End Date: Sept 2022 to Sept 2022

  • Tutored 15+ students in High School STEM courses. Ranging from Grade 9-12

Skills

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Projects

Project 1 of 4 AI-HQ

  • - A modern, full-stack AI chat platform built with the NEXTJS 15 and React Server Component Architecture.
  • - Featuring intelligent conversations powered by Google's Gemini AI, Nvidia NIMs, and HuggingFace Inference Models.
  • - This project demonstrates advanced agentic AI capabilities with persistent chat history, image generation, and a sleek, responsive interface.

Project 2 of 4 DataLogViewer2.0 with Flutter

  • - Developed Python/PyTorch-based fine-tuning scripts to reduce bias in large language models, Achieved a 20% reduction in measured bias while maintaining model performance.
  • - Implemented advanced techniques including Social Contact Debias, Gender Logits, and Custom Loss Functions.
  • - Integrated with Hugging Face and Perspective API for model evaluation and improvement.

Project 3 of 4 SWE Capstone Project - Minimizing Bias In LLMs

  • - Displays, archives, and classifies over 100 automotive performance datalogs.
  • - Leverages Pytorch Lighting LSTM to categorize data into 3 distinct classes, streamlining analysis and knowledge mining processes
  • - Made with Flutter/Dart for cross-platform Desktop compatibility.

Project 4 of 4 NextJs DataLogViewer

  • - Full Stack site utilizing MongoDB Atlas, Express.js, React, and NodeJS.
  • - Displays, archives, and classifies over 100 automotive performance datalogs.
  • - Utilizes NextJs for server-side rendering and dynamic routing.

Contact

Contact Me for job offers or business inquiries below Let's talk!

+4379948839

ElvisOkereke.eo@gmail.com

Toronto, Canada