Thomas Simpson
@thomassimpson
AI/ML specialist with over 10 years of experience.
What I'm looking for
I'm an AI/ML specialist with over a decade of experience in delivering enterprise-grade solutions across both government and commercial sectors. My expertise lies in developing and deploying machine learning pipelines, deep learning models, and natural language processing systems at scale. I have a proven track record of translating complex business needs into measurable, intelligent solutions, which has earned me recognition as Employee of the Year for my leadership and innovation in AI product delivery.
In my most recent role as a Senior AI Engineer at Blue Sky Innovations, I spearheaded the design and deployment of an ML-powered anomaly detection system that significantly reduced fraud risk by 48%. I also led the end-to-end development of an NLP platform that processes over 2 million documents monthly. My commitment to technical excellence is reflected in my implementation of CI/CD for ML pipelines, which reduced release times by 60%. I take pride in mentoring junior engineers and fostering a culture of code quality and continuous learning.
Throughout my career, I have developed a strong foundation in machine learning, deep learning, and data engineering. My technical skills span a wide range of tools and technologies, including TensorFlow, PyTorch, and AWS services. I am passionate about leveraging AI to create impactful solutions and am always eager to tackle new challenges in the field.
Experience
Work history, roles, and key accomplishments
Senior AI Engineer
Blue Sky Innovations, Inc
Jan 2022 - May 2025 (3 years 4 months)
Spearheaded the design and deployment of an ML-powered anomaly detection system for federal clients, reducing fraud risk by 48%. Led end-to-end development of an NLP platform processing over 2 million documents monthly using HuggingFace transformers and spaCy.
Senior Machine Learning Engineer
TechNova AI Solutions
Jul 2018 - Dec 2021 (3 years 5 months)
Developed and deployed a real-time recommendation engine using collaborative filtering and matrix factorization. Built and maintained ML models for user segmentation using KMeans, GMMs, and random forests.
AI/ML Engineer
InnoTech Dynamics
Aug 2014 - Jun 2018 (3 years 10 months)
Designed classification models for predictive maintenance with 95% accuracy on industrial IoT sensor data. Used LSTM and GRU networks for time series forecasting and optimized model latency for edge deployment.
Education
Degrees, certifications, and relevant coursework
University of Texas at Austin
Bachelor of Science, Computer Science (AI Focus)
2010 - 2014
Grade: 3.8/4.0
Focused on artificial intelligence, covering machine learning, deep learning, and natural language processing. Gained strong foundational knowledge in computer science principles and their application in AI systems.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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