Hi, I'm Ved Patel
AI and ML Developer & CS Student
Passionate about engineering reliable AI systems and scalable infrastructure. I specialize in Generative AI and Systems Engineering, focusing on architecting RAG pipelines, reducing model hallucinations, and building AI powered solutions.
About Me
A passionate developer with a drive for creating impactful solutions
I'm Ved Patel, an Honours Computer Science student at Ontario Tech University. I have consistently achieved President's List status, maintaining a 3.97 GPA while focusing on the engineering challenges of modern AI.
My technical focus is on Generative AI Engineering. I architect Retrieval-Augmented Generation (RAG) pipelines and orchestrate complex LLM interactions using LangChain, Python, Watsonx.ai, and ChromaDB to mitigate hallucination risks. I am also actively developing agentic workflows to seamlessly bridge natural language and structured data environments.
Beyond AI, I have a solid foundation in backend systems and data engineering. I leverage Python, SQL, and Pandas to build robust data pipelines, process complex datasets, and extract actionable insights to support data-intensive applications.
Languages
AI & Data Engineering
DevOps & Tools
Frameworks & UI
Featured Projects
Technical case studies showcasing my skills and passion for development
Smart Document Assistant | IBM Generative AI Engineering Capstone Project
A smart document assistant that can answer questions about documents. Using LangChain and ChromaDB to store and retrieve document information. Using IBM watsonx.ai granite-3-2-8b-instruct LLM and slate-125m-english embedding model.
Polyglot Tutor | AI-Accelerated Hackathon Project
An AI-powered language platform engineered with a Flask backend and a Multi-Agent Verification Pipeline. To ensure educational accuracy, a secondary LangChain agent acts as a 'Teaching Assistant' to strictly audit generated content before delivery. The system features a modular architecture using Abstract Base Classes to centralize context initialization, enabling seamless hot-swapping between OpenAI and Gemini models.
Portfolio Website
A responsive portfolio entirely generated and iterated through prompt engineering. Directed Claude 3.5 Sonnet to architect, design, and build a Next.js application, demonstrating the ability to successfully leverage AI orchestration to deploy complex web systems without prior frontend framework experience.
Experience & Education
My professional journey and academic background
Work Experience
Hackathons
HackHive 2026 Participant
Ontario Tech University CS Club- •Orchestrated the backend architecture for a multilingual learning platform, utilizing Flask to rapidly deploy a RESTful API and acting as the System Architect to direct AI-assisted code generation.
- •Engineered a Multi-Agent Verification Pipeline, instructing Claude AI to implement a "Teacher-TA" workflow where a secondary LangChain agent strictly validates grade-level accuracy before response delivery.
- •Streamlined model integration by utilizing an Abstract Base Class to centralize the initialization of educational parameters, reducing boilerplate code and ensuring consistent context injection across disparate AI providers.
Education
Honours Computer Science
Ontario Tech University- •Pursuing Honours Bachelor of Science in Computer Science
- •Dean's List recipient 4 times for academic excellence
- •Relevant coursework: Data Structures, Agile Methodologies, Database Systems, Design and Analysis of Algorithms,
Have a project in mind? Let's talk!
I'm always open to discussing new opportunities, interesting projects, or just having a conversation about tech.