Open to opportunities

Thomas Ayyub

@thomasayyub

Message

Senior Machine Learning Engineer building scalable LLM and predictive AI systems.

United States

Message

What I'm looking for

I’m looking to architect end-to-end AI/ML and LLM/RAG systems, build reliable ML pipelines with strong MLOps, and deliver production automation that connects cutting-edge research to clear business outcomes.

I’m a Senior Machine Learning Engineer with 8+ years of experience architecting and delivering end-to-end AI/ML solutions across LLMs, agentic AI systems, deep learning, NLP, computer vision, and predictive analytics. I design, build, and deploy scalable ML pipelines and data-driven products for high-impact production environments.

In my most recent role, I’ve led end-to-end ML pipelines for data ingestion, training, validation, and deployment—focusing on reproducibility, scalability, and production reliability. I’ve also delivered LLM-powered RAG workflows (LangChain/LangGraph), NLP-driven document processing with NER for structured extraction, predictive maintenance models, and AI-powered voice and conversational agents—while mentoring engineers and strengthening MLOps and model lifecycle best practices.

Experience

Work history, roles, and key accomplishments

Current

Senior ML Engineer

Current

Logic League

Jan 2023 - Present (3 years 6 months)

Designed and implemented end-to-end ML pipelines for data ingestion, training, validation, and deployment, focused on reproducibility, scalability, and production reliability. Built LLM-based RAG workflows and NLP document processing using NER models, and engineered predictive maintenance and voice/conversational agents for automated, personalized recommendations.

Machine Learning Pipelines Data Ingestion Training Validation RAG LLM LangGraph NLP Document Processing Predictive Maintenance Conversational AI

AI/ML Engineer

Sparkbox

Jan 2021 - Jan 2023 (2 years)

Designed and built scalable data pipelines and ML workflows for data ingestion, processing, and deployment, emphasizing reliable performance and reproducibility. Developed and deployed ML/NLP solutions using LLMs and NER, built recommendation and predictive models, and integrated models into applications via RESTful APIs, including chatbot and voice assistant systems.

Data Pipelines LLM Sentiment Analysis Recommendation Systems predictive modeling Chatbot Voice Assistant Systems REST APIs NLP

Machine Learning Engineer

Tendom

Jan 2019 - Jan 2021 (2 years)

Performed data preprocessing and feature engineering (cleaning, encoding, scaling, and transformation) to prepare datasets for modeling. Built and trained classification and regression models using PyTorch and TensorFlow, implemented NLP models with RNNs and LSTMs, and improved performance through hyperparameter tuning and systematic experimentation.