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.