About Me
I am a MSc Computer Science graduate (Artificial Intelligence) from Western University with over 3 years of experience spanning AI/ML research, enterprise systems, and full-stack development. My journey has taken me from co-founding startups to contributing at large organizations. At London Hydro, I optimized 35+ SAP CDS Views, cutting runtimes from 30 minutes to 300 ms, and automated XML/PDF pipelines that streamlined billing validation. During my Generative AI Externship at Cognizant, I delivered 30+ GenAI projects and built Azure ML pipelines that reduced deployment time by 40%. Alongside, my research on Advanced Driver Assistance Systems (ADAS) explored YOLOv8 and RT-DETR models, training 70+ custom models and publishing a 100-page thesis. I thrive at the intersection of AI innovation, enterprise engineering, and scalable software development.
My Coding Journey
My passion for programming began in high school with Java, which sparked an early curiosity for problem-solving. In my undergrad, I expanded into C and Python through IBM’s AI/ML program, laying the foundation for my future in artificial intelligence.
As I grew my skills, I ventured into web development, mastering Django, Flask, and React. I tested my abilities in hackathons and early projects, which gave me confidence to build real-world solutions. This evolved into entrepreneurship—first through Trinite, a startup I co-founded that delivered tailored websites and e-commerce platforms for small businesses, and later as CTO of Kwoda, where I led the creation of a multi-company HR platform with verified digital resumes and QR-based authentication.
While web development fueled my early career, I remained drawn to AI/ML. This curiosity led me to pursue my MSc at Western, where I specialized in real-time object detection for ADAS. I trained and evaluated over 70 models using GPU clusters, comparing YOLOv8 and RT-DETR architectures. My work produced valuable insights into inference performance and class imbalance challenges, culminating in a comprehensive thesis and academic paper.
Parallel to research, I applied my expertise in professional roles. At London Hydro, I contributed to their SAP S/4HANA migration, optimized enterprise data pipelines, and automated QA testing processes. With Cognizant, I immersed myself in Generative AI, building production-ready LLM solutions and fine-tuning workflows that made enterprise-scale AI adoption more efficient.
Today, I bring together research depth, enterprise engineering experience, and full-stack development skills. From startup ventures to enterprise automation and applied AI research, my journey has been shaped by curiosity and impact-driven work. I look forward to building intelligent, scalable systems that push technology forward and create real-world value.