Tomas Romo - Senior AI/ML Engineer - Accenture | Himalayas
TR
Open to opportunities

Tomas Romo

@tomasromo

Senior AI/ML Engineer with 10+ years of experience in machine learning.

United States
Message

What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my AI expertise to drive impactful solutions.

I am a Senior AI/ML Engineer with over 10 years of experience in designing and deploying machine learning systems across fintech and enterprise environments. My expertise lies in fraud detection, risk modeling, and NLP-driven automation, utilizing technologies such as Python, PyTorch, and XGBoost. I have a proven track record of building real-time ML pipelines and scalable infrastructure on cloud platforms like AWS and GCP.

Throughout my career, I have successfully led cross-functional initiatives and mentored engineers, delivering AI solutions that align with strategic business goals. My work includes integrating large language models into generative AI applications and developing frameworks for federated learning, ensuring compliance with regulations such as FCRA and GDPR. I am passionate about sharing knowledge and have conducted numerous training sessions on MLOps best practices and responsible AI principles.

Experience

Work history, roles, and key accomplishments

AC
Current

Senior AI/ML Engineer

Accenture

Jan 2023 - Present (2 years 6 months)

Led end-to-end AI/ML initiatives for clients focusing on fraud detection, risk modeling, and customer personalization, delivering scalable and compliant solutions. Architected real-time ML pipelines utilizing AWS services including S3, SageMaker, Lambda, and Kinesis, ensuring high availability and low-latency processing.

ST

AI/ML Engineer

Stripe

Dec 2021 - Jan 2023 (1 year 1 month)

Developed state-of-the-art NLP models to automate dispute classification and extract customer interaction insights, improving resolution times and accuracy. Implemented deep learning architectures with PyTorch, including attention-based models, to enhance fraud prediction capabilities on complex transaction data.

ST

Machine Learning Engineer

Stripe

Jun 2017 - Dec 2021 (4 years 6 months)

Led the architecture and development of real-time fraud detection systems using gradient boosting frameworks such as XGBoost and LightGBM, achieving high precision and recall in live environments. Designed and deployed scalable ML infrastructure leveraging GCP, Kubernetes, Apache Airflow, and Docker, supporting rapid iteration and continuous deployment.

Education

Degrees, certifications, and relevant coursework

University of Texas - Austin logoUA

University of Texas - Austin

Bachelor of Science, Computer Science

2011 - 2015

Studied Computer Science at the University of Texas - Austin. Gained foundational knowledge and practical skills in various aspects of computer science.

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