An AI and automation developer leading backend and automation efforts at Maritime Support Solutions (MSS). At MSS, I built smooth-ocean.tech, an automated logistics platform that parses PDFs, Excels, and CSVs into a centralized MySQL database, powering Power BI dashboards for shipping agents worldwide. My work focuses on streamlining imports, exports, and transshipment workflows with Django, MySQL, Selenium, and GCP Document AI. Passionate about AI-driven developer tools, I specialize in designing multi-agent pipelines that combine automation, error analysis, and intelligent debugging, while continuously exploring ways to bridge data, processes, and AI for real-world impact.

Multi-Agent Systems/Pipeline's Project Planning & Implementation Developer Tools & Debugging Automation Robotics & ROS Cloud-Native Deployments

DevTools – An AI-powered developer support system built on Google ADK and MCP to debug Django + MySQL apps. It uses a multi-agent pipeline to analyze error pages, code, and database flows, integrating with GitHub MCP for mapping and the GenAI Toolkit for secure DB interaction. Check it out: https://github.com/jcp-tech/DevTools

2x Shopify intern (Current), Previous AMD intern, 4th Year CS student at TMU!

LLM Specialists

MCPs and AI Tooling

I am a specialist in Production ML and Generative AI, with a strong focus on turning complex business challenges into data-driven solutions. I have a proven track record of developing and deploying scalable backend systems, APIs, and microservices on AWS, GCP, and Azure. My projects have consistently delivered tangible results, such as a banking complaint classifier that improved triage speed by 60%. As a leader, I am passionate about both technical excellence and mentorship, which was demonstrated during my successful tenure as President of Seneca's AI Club.

Generative AI & LLM Applications: I am deeply interested in the practical application of large language models (LLMs) to solve real-world problems. I’m particularly keen on exploring Agentic AI systems, guardrail design, and how to build ethical, scalable AI applications that go beyond simple chatbots to create genuine business impact. Financial Technology (FinTech): My work in invoice intelligence and banking complaint classification has given me a passion for applying ML to the FinTech space.

Right now, I'm working on a personal project that extends my work on generative AI. I'm building an AI tutor, designed to create a dynamic and personalized learning experience. The goal is to move beyond simple Q&A and provide interactive, guided learning sessions tailored to a user's specific needs. It's a great way to stay hands-on with the latest frameworks and explore the future of AI.

Aspiring AI developer and data scientist with extensive experience in machine learning, data processing, and graph-based neural networks. I am experienced in creating advanced link prediction models utilizing graph convolutional networks (GCNs) on complicated datasets. I am proficient in Python, TensorFlow, and StellarGraph, and I have a strong interest in research and innovation in artificial intelligence and data science. Demonstrated the ability to convert complicated facts into relevant insights and create scalable AI solutions that produce significant results. I'm passionate about pushing the boundaries of AI technology to solve real-world challenges.

Artificial Intelligence, Data Science, Research in Artificial Intelligence, Machine Learning, Deep Learning, Data Processing, Model Development, and Language Learning Models.

I am currently working on a project called Predicting Connections in a Network Using Machine Learning, where my goal is to develop a machine learning model that can predict whether two items (like scientific papers) in a network are likely to be connected.