- Resume
- Dev_Patel_Resume.pdf
- Portals
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Vancouver, British Columbia, Canada
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Toronto, Ontario, Canada
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Skills
Achievements



Latest feedback
Recent projects

Artificial Intelligence & Machine Learning Application
Our company is a platform for creating data products enabled by AI, and we want to leverage the latest technology to gain market advantage. Applications of this technology to build data products include recommendation algorithms, predictive analytics like lifetime values, fraud detections, cyber security analytics and classifications. We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop an AI / ML model related to any of the aforementioned applications. This will involve several different steps for the students, including: Conducting background research for specific problem domains (Will provide at the beginning of project) Analyzing the dataset (identify data requirements) Researching the latest AI / ML techniques and how they could be applied to our data. Developing an AI / ML model that provides unique outcomes or insights into our data. Providing multiple solutions that can be applied to solve the same problem. (Key is to build a "deployable" solution

COOCO Smart Assistant Chatbot Enhancement
COOCO is an AI-powered kitchen management and social platform designed to revolutionize how individuals and families plan meals, discover recipes, track ingredients, and connect through cooking. We're building an intelligent chatbot that not only assists users in managing their kitchens but also offers personalized recipe suggestions, meal plans, ingredient reminders, and gamified rewards.
Work experience
AI Software Engineer
Caddie AI
Toronto, Ontario, Canada
May 2025 - Current
Researched AI-driven sales optimization through the development of a customized RL approach
Investigated self-improving AI models using reward modeling, policy gradient methods, and response ranking to
enhance engagement. Helped increase model efficiency by 20+%
Designed LLM fine-tuning and RL-based optimization, integrating with backend APIs and microservices.
Machine Learning Engineer
Jeenie
Ajax, Ontario, Canada
February 2023 - April 2023
Collaborated with a team to integrate AI into a beauty tech website, primarily utilizing Pytorch
Collected and cleaned data relating to facial structure and skin tone, consisting of over 10000 images
Matched the dataset with its most efficient machine learning algorithm(Support Vector Machine)