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Claudia Richard

@claudiarichard

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Machine Learning Engineer specializing in LLM fine-tuning for code generation.

Canada

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What I'm looking for

I am seeking a role that fosters innovation and collaboration, where I can apply my machine learning expertise to solve complex problems and contribute to cutting-edge projects.

As a Machine Learning Engineer with a Master's degree in AI-focused Computer Science, I have honed my expertise in fine-tuning large language models (LLMs) for code generation. With over four years of combined experience in natural language processing (NLP), I have developed a strong foundation in machine learning models, instruction tuning, and prompt engineering. My industry experience includes 2.5 years working on Retrieval Augmented Generation (RAG) and large-scale NLP applications.

In my recent role as a Research and Graduate Assistant at the University of Windsor, I focused on enhancing model performance through innovative techniques such as synthetic dataset creation and prompt engineering. My previous position as a Data Analyst at Sulekha.com allowed me to build and deploy a BERT-based context prediction model, significantly improving query understanding accuracy. I am passionate about leveraging my skills to drive impactful solutions in the field of AI and machine learning.

Experience

Work history, roles, and key accomplishments

Current

Research and Graduate Assistant

Current

University of Windsor

Sep 2023 - Jan 2025 (1 year 4 months)

Researched LLM code generation and instruction-tuning for cost efficiency. Created synthetic datasets to enhance model performance and optimized prompt engineering techniques for code synthesis tasks. Evaluated models using HumanEval & MBPP benchmarks and managed the Internship Project course.

Prompt Engineering Synthetic Datasets HumanEval Model Evaluation

Data Analyst (NLP)

Sulekha.com New Media Pvt Ltd

May 2021 - Aug 2023 (2 years 3 months)

Developed a BERT-based context prediction model for query understanding, improving accuracy by 25%. Automated API-driven application development and designed clustering algorithms for large-scale text datasets. Built a chatbot for Retrieval Augmented Generation and contributed to a churn prediction project using audio data.

BERT AWS Clustering

Education

Degrees, certifications, and relevant coursework

University of Windsor

Master of Science, Computer Science

2023 - 2025

Activities and societies: Thesis projects include OCR for text extraction, decoding MBTI personality types, Ethereum price forecasting, and building a search engine for CS papers.

Pursuing a Master of Science in Computer Science with a focus on AI, including a thesis on instruction tuning for code generation projects. Engaged in various research projects involving text extraction, personality prediction, time series forecasting, and search engine development.