Open to opportunities

Ahmad Hayes

@ahmadhayes

Message

Experienced Machine Learning Engineer specializing in AI solutions.

United States

Message

What I'm looking for

I am looking for a role that challenges me and allows for growth in AI technologies, particularly in a collaborative environment focused on innovative solutions.

I am a Senior Machine Learning Engineer with over 10 years of experience in building and deploying scalable AI solutions. My expertise lies in Generative AI, Large Language Models (LLMs), and Natural Language Processing (NLP). I have a proven track record of developing end-to-end ML systems, from data engineering and model development to cloud-native deployment using FastAPI, Docker, and Kubernetes.

Throughout my career, I have designed and deployed innovative Generative AI systems, optimized for real-time contextual search and knowledge retrieval. I am passionate about creating production-ready applications that solve real-world problems, and I thrive in collaborative environments where I can mentor junior engineers and lead technical design reviews. My strong hands-on experience with various cloud platforms and MLOps tools allows me to implement scalable solutions that meet the demands of modern AI applications.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

Klarity Labs

Jan 2021 - Present (4 years 7 months)

Designed and deployed end-to-end Generative AI systems using transformer-based LLMs for enterprise NLP use cases. Built and scaled Retrieval-Augmented Generation (RAG) pipelines integrated with vector databases such as FAISS and Pinecone, optimized for real-time contextual search and knowledge retrieval.

Generative AI LLMs)NLP RAG Vector Databases fastAPI Docker Kubernetes MLFlow Weights Biases AWS GCP

Senior Machine Learning Engineer

CognitiveScale

Jul 2019 - Dec 2020 (1 year 5 months)

Led the design and development of multilingual NLP systems for sentiment analysis, text classification, and information extraction using modern deep learning models. Engineered pipelines for time-series forecasting and anomaly detection to predict operational KPIs, using statistical models and recurrent neural networks.

NLP Deep Learning BERT XLNet Time Series Anomaly Detection Flask Apache Airflow Docker

Machine Learning Engineer

Mavericks United

Aug 2015 - Jun 2019 (3 years 10 months)

Led the design and development of multilingual NLP systems for sentiment analysis, text classification, and information extraction using modern deep learning models. Integrated pre-trained models like BERT and XLNet into customer-facing applications, improving semantic understanding and multilingual capabilities.

NLP Deep Learning BERT XLNet Anomaly Detection Flask Apache Airflow Docker

Education

Degrees, certifications, and relevant coursework

Preston University

Master of Science, Computer Science

Completed a Master of Science in Computer Science at Preston University. Focused on advanced topics in computer science, enhancing skills in various computational domains.