I'm Noel Smith, a Senior AI/ML Engineer with 10+ years of experience building and scaling production AI systems. I specialize in taking ML and LLM concepts into production, including RAG architectures, recommendation systems, and real-time inference pipelines. I stay hands-on while leading teams, balancing model quality, latency, and cost to deliver measurable business impact on cloud infrastructure. I enjoy designing scalable data processing pipelines and collaborating across cross-functional teams to turn ideas into impactful products.

Noel Smith

I'm Noel Smith, a Senior AI/ML Engineer with 10+ years of experience building and scaling production AI systems. I specialize in taking ML and LLM concepts into production, including RAG architectures, recommendation systems, and real-time inference pipelines. I stay hands-on while leading teams, balancing model quality, latency, and cost to deliver measurable business impact on cloud infrastructure. I enjoy designing scalable data processing pipelines and collaborating across cross-functional teams to turn ideas into impactful products.

Available to hire

I’m Noel Smith, a Senior AI/ML Engineer with 10+ years of experience building and scaling production AI systems. I specialize in taking ML and LLM concepts into production, including RAG architectures, recommendation systems, and real-time inference pipelines.

I stay hands-on while leading teams, balancing model quality, latency, and cost to deliver measurable business impact on cloud infrastructure. I enjoy designing scalable data processing pipelines and collaborating across cross-functional teams to turn ideas into impactful products.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Senior Machine Learning Engineer at AB Tasty
October 1, 2023 - Present
Led architecture and implementation of a LLM-powered Personalization Engine, combining RAG, semantic retrieval, and generative modeling to deliver context-aware product recommendations in a high-traffic e-commerce environment. Fine-tuned LLaMA-2 on product catalogs, user reviews, click stream, and purchase data, increasing semantic recommendation relevance by 27% through targeted dataset curation and balancing. Designed scalable data preprocessing and fine-tuning pipelines using Python, Pandas, and Hugging Face, supporting continuous model iteration and experimentation. Built real-time inference services using Flask, SQLAlchemy, and PostgreSQL, deployed on AWS EC2, S3, and RDS to support low-latency personalization at scale. Reduced inference bottlenecks by implementing parallel processing, SQS-based workload distribution, model optimization, and intelligent caching strategies. Established structured evaluation workflows combining BLEU, ROUGE, validation splits, and human evaluation to
Senior Machine Learning Engineer at BairesDev
May 1, 2019 - September 1, 2023
Architected and delivered an AI Business Planning Assistant, a structured LLM-based decision-support system that converts early-stage startup ideas into executable technical and market roadmaps.
Data Scientist / AI Engineer (CV & ML Systems) at Viso.ai
May 1, 2014 - April 1, 2019
Participated in development of a Physiologic Signal Extraction Module within a computer vision health monitoring platform, training deep learning models from scratch to infer health indicators from real-time camera data. Built end-to-end computer vision pipelines using PyTorch and OpenCV, including video preprocessing, feature extraction, and temporal modeling. Improved model stability across lighting and motion variations, increasing prediction robustness through adaptive preprocessing and evaluation.
Software Engineer at Atmosphere Apps
June 1, 2012 - April 1, 2014
Contributed to development of enterprise web and mobile applications, building RESTful APIs and interactive front-end features in cross-functional teams. Built backend processes using Python and PostgreSQL to automate recurring financial workflows. Maintained large-scale production applications using PHP (Laravel), MySQL, and JavaScript frameworks.
Data Science / AI Engineer (CV & ML Systems) at Visio.ai
May 1, 2014 - April 1, 2019
Participated in the development of a Physiologic Signal Extraction Module within a computer vision health monitoring platform, training deep learning models from scratch to infer health indicators from real-time camera data. Built full computer vision pipelines using PyTorch and OpenCV, including video preprocessing, feature extraction, and temporal modeling. Improved model stability across lighting and motion, increasing prediction robustness by 18% via adaptive preprocessing and augmentation. Designed scalable GPU-based training workflows and deployed models into production services on AWS SageMaker with REST endpoints. Established validation and continuous monitoring to ensure real-world reliability.
Senior AI/ML Engineer at AB Tasty
October 1, 2023 - Present
Led architecture and implementation of an LLM-powered Personalization Engine, combining RAG, semantic retrieval, and generative modeling to deliver context-aware product recommendations in a high-traffic e-commerce environment. Built scalable ML services and real-time inference pipelines on AWS, reducing latency and improving personalization.

Education

Bachelor of Science at University of Florida
January 1, 2008 - January 1, 2012
Bachelor's Degree in Computer Science at University of Florida
January 1, 2008 - January 1, 2012
Bachelor's degree at University of Florida
January 1, 2008 - January 1, 2012

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services, Media & Entertainment, Retail