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Thomas Rivera

@thomasrivera

Senior AI/ML Engineer with expertise in scalable AI solutions.

United States
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What I'm looking for

I seek a collaborative environment that fosters innovation and growth, focusing on impactful AI projects.

I am a Senior AI/ML Engineer with over 11 years of experience in developing and deploying robust, scalable AI and machine learning solutions across various industries, including biotech, healthcare, finance, and telecommunications. My expertise lies in Python, MLOps, and Big Data technologies, with a strong focus on cloud platforms such as AWS, Azure, and GCP. I excel in transforming raw data into strategic value through machine learning and data science, ensuring high-performance analytics and streamlined operations.

Throughout my career, I have demonstrated a proven ability to orchestrate AI and machine learning workflows, utilizing tools like SageMaker for efficient model training and deployment. I have extensive experience in building and deploying AI models, including large language models, and have successfully integrated complex data processing with cloud services to enhance operational efficiency. My collaborative approach has allowed me to work effectively with cross-functional teams, leading to the successful implementation of innovative solutions that drive business growth.

Experience

Work history, roles, and key accomplishments

PI
Current

Sr. AI/ML Engineer

Prime Medicine, Inc.

Jul 2023 - Present (2 years)

Architected and deployed robust machine learning pipelines to support CRISPR gene-editing initiatives across multiple therapeutic programs. Built and optimized NLP models using BioBERT, Hugging Face Transformers, and spaCy to extract gene-disease relationships from biomedical research papers, patents, and clinical trial documents.

CC

Sr. AI/ML Engineer

Charter Communications

Sep 2020 - Present (4 years 10 months)

Led the integration of ETL processes with MLOps pipelines, focusing on the deployment of AI/ML models. Developed and fine-tuned GPT-3.5, GPT-4, LLaMA, and BERT models to enhance customer engagement and optimize predictive performance for tasks like customer churn analysis and sentiment classification.

Education

Degrees, certifications, and relevant coursework

The University of Houston logoTH

The University of Houston

Bachelor of Science, Information Technology

Obtained a Bachelor of Science in Information Technology, building a strong foundation in IT principles and practices. Developed skills essential for a career in technology and data management.

The University of Texas at Austin logoTA

The University of Texas at Austin

Master of Science, Computer Science

Completed a Master of Science in Computer Science, focusing on advanced topics and research within the field. Gained expertise in various computational theories and practical applications.

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