Alexis Rodriguez

AR

Open to opportunities

Alexis Rodriguez

@alexisrodriguez4

AI/ML engineer and solution architect who has applied machine learning at Mayo Clinic, Andor Health, Ramp, and IBM.

At Mayo Clinic, I worked as a Lead ML Engineer | AI Architect. Before that, I was a Senior AI/ML Engineer, Applied AI at Andor Health, a Senior Machine Learning Consultant at Ramp, and a Machine Learning Engineer at IBM.

My work and expertise span NLP, LLMs, generative AI, computer vision, and production practices including MLOps and LLMOps. I hold bachelor's and master's degrees in Computer Science from University of Central Florida.

Experience

Work history, roles, and key accomplishments

MC

Lead ML Engineer | AI Architect

Sep 2025 - Sep 2026 (1 year)

Worked as Lead ML Engineer | AI Architect at Mayo Clinic.

AH

Senior AI/ML Engineer, Applied AI

Andor Health

May 2022 - Aug 2025 (3 years 3 months)

Worked as Senior AI/ML Engineer, Applied AI at Andor Health.

RA

Senior Machine Learning Consultant

Ramp

Jul 2019 - May 2022 (2 years 10 months)

Worked as Senior Machine Learning Consultant at Ramp.

IB

Machine Learning Engineer

Feb 2016 - Jun 2019 (3 years 4 months)

Worked as Machine Learning Engineer at IBM.

EL

Machine Learning Developer

Nov 2011 - Dec 2015 (4 years 1 month)

Worked as Machine Learning Developer at Elance-oDesk.

Education

Degrees, certifications, and relevant coursework

UF

University of Central Florida

Master of Science, Computer Science

2010 - 2012

UF

University of Central Florida

Bachelor of Science - BS, Computer Science

2007 - 2010

Tech stack

Software and tools used professionally

Microsoft Azure

Apache Cordova

PostgreSQL

Django

Ruby on Rails

OpenCV

Python

TensorFlow

PyTorch

scikit-learn

Flask

AWS Lambda

Docker

Model Context Protocol (MCP)

Retrieval-Augmented Generation (RAG)

Availability

Open to opportunities

Location

United States

Authorized to work in

Social media

Job categories

AI ML Engineer AI Architect ML Consultant

Skills

AI Machine Learning Deep Learning NLP LLM Generative AI Computer Vision Conversational AI RAG Multi Agent Systems Model Context Protocol (MCP)Reinforcement Learning from Human Feedback (RLHF)MLOps LLMOps Healthcare

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