Advitya Mittal

Implemented a multi-step product design AI agent, prompt-tuning OpenAI GPT and Claude models via APIs to empower clients with real-time design feedback. Engineered optimized prompts, created prompt templates, playbooks, and evaluation pipelines for generative AI models, enhancing multimodal generation workflows and improving output quality. Developed and deployed scalable AI/ML pipelines for compu

Pioneered AI-driven automation solutions, including fine-tuning large language models (LLMs) for client-specific NLP use cases, achieving 90% accuracy in entity recognition and response generation for chatbots. Implemented an MLOps pipeline to fine-tune OpenAI’s GPT-3.5 turbo LLM for a conversational chatbot. Developed, trained, and fine-tuned a Deep Convolutional Generative Adversarial Network (D

Validated and analyzed large datasets for a TELUS client, ensuring data accuracy, relevance, and consistency. Monitored and optimized data pipelines, identifying trends and discrepancies to support data-driven decision-making. Automated data cleaning and processing tasks, increasing efficiency and enabling scalable data workflows.

Activities and societies: Member of Google Developer Student club and UBC Surf club.

Studied a Bachelor of Science with a major in Computer Science. Coursework included Algorithms and Data Structures, Software Engineering, Computer Graphics, Computer Vision, and Human Computer Interaction Methods. Gained expertise in statistical inference for data science and explored the societal impact of computer science.