I am an Applied Machine Learning Scientist with a passion for building and fine-tuning sophisticated models in various ecosystems, including LLMs, forecasting, and reinforcement learning. My journey has involved designing scalable training pipelines and deploying data-driven systems that make a real impact in production environments. I believe in bridging the gap between cutting-edge research and practical engineering solutions, and I thrive in collaborative environments where I can mentor others and learn continuously.…

Claudia Lois Richard

I am an Applied Machine Learning Scientist with a passion for building and fine-tuning sophisticated models in various ecosystems, including LLMs, forecasting, and reinforcement learning. My journey has involved designing scalable training pipelines and deploying data-driven systems that make a real impact in production environments. I believe in bridging the gap between cutting-edge research and practical engineering solutions, and I thrive in collaborative environments where I can mentor others and learn continuously.…

Available to hire

I am an Applied Machine Learning Scientist with a passion for building and fine-tuning sophisticated models in various ecosystems, including LLMs, forecasting, and reinforcement learning. My journey has involved designing scalable training pipelines and deploying data-driven systems that make a real impact in production environments. I believe in bridging the gap between cutting-edge research and practical engineering solutions, and I thrive in collaborative environments where I can mentor others and learn continuously.

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Experience Level

Work Experience

Backend Software Engineer - AI Focus at Stephen Avenue Marketing
October 1, 2025 - April 1, 2026
Led the design and development of an ERCOT RTM forecasting system, using 100+ market signals with pipeline reproducibility and consistent model training and evaluation. Developed a feature selection framework, implemented model interpretability, and automated model evaluation workflows, significantly improving performance metrics and reducing manual analysis time.
AI Data Specialist (Contract) at Scale AI via Outlier
January 1, 2025 - July 1, 2025
Curated and enhanced post-training datasets for large-scale LLMs focused on Supervised Fine-Tuning and RLHF. Reviewed complex prompt interactions and model outputs for high-quality reasoning, supporting high-performance conversational and multimodal agents.
Research and Graduate Assistant at University of Windsor
September 1, 2023 - December 1, 2024
Optimized LLM instruction tuning pipelines, improving code generation quality while drastically reducing compute costs. Designed synthetic instruction transformations and built scalable training workflows for model benchmarking and A/B testing.
Data Scientist at Sulekha
April 1, 2021 - August 1, 2023
Developed a BERT-based context prediction model that increased user engagement by 25%. Worked on various AI feature proofs of concepts and automated repetitive tasks, significantly improving efficiency.

Education

M.Sc Computer Science (AI + Thesis Stream) at University of Windsor
September 1, 2023 - January 1, 2025

Qualifications

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Industry Experience

Computers & Electronics, Education, Software & Internet, Professional Services, Media & Entertainment

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