Available to hire
Hi, I’m Tyler Abel, a Senior AI/ML Engineer with 7+ years of hands-on experience in building and deploying end-to-end ML-powered products. I’m skilled at training and deploying models, data preprocessing, and integrating AI systems into production. With a strong full-stack engineering background, I enable seamless delivery from data pipelines to production deployment.
I enjoy mentoring engineers and leading projects in both startups and enterprises. I emphasize agile practices, robust testing, scalable architectures, and clear collaboration with product and frontend teams to turn complex data into practical, impact-driven solutions.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Language
English
Fluent
Work Experience
Senior Machine Learning Engineer at Apex Craft
January 20, 2022 - PresentLed a team of engineers to build ML-driven web applications using Python, Django, Flask, and React. Designed and optimized database architectures for large-scale ML datasets using PostgreSQL, MySQL, and MongoDB. Built CI/CD pipelines for ML model deployment using Jenkins. Developed serverless ML solutions with AWS Lambda and Azure. Applied Agile methodologies and OO design principles in Python and JavaScript.
Senior Machine Learning Engineer at Apex Craft
January 20, 2022 - PresentLed a team of engineers to build ML-driven web applications using Python, Django, Flask, and React. Built CI/CD pipelines for ML deployment using Jenkins. Developed serverless ML solutions with AWS Lambda and Azure. Architected and optimized database architectures for large ML datasets using PostgreSQL, MySQL, and MongoDB. Employed Agile methodologies and OO design in Python and JavaScript.
Senior Machine Learning Engineer at The Apex Craft
January 1, 2022 - PresentLed a team of engineers to build ML-driven web applications using Python, Django, Flask, and React. Designed and optimized database architectures for large-scale ML datasets using PostgreSQL, MySQL, and MongoDB. Built CI/CD pipelines for ML model deployment using Jenkins. Developed serverless ML solutions with AWS Lambda and Azure. Executed Agile methodologies and object-oriented design principles in Python and JavaScript.
Data Scientist & AI/ML Specialist at Bizabo
August 20, 2019 - PresentLed a team in developing REST APIs with Python, enabling seamless data flow between frontend frameworks and web apps. Engineered scalable applications using Python, Django, Flask, React.js, and MongoDB to support ML and AI workloads. Utilized Docker and Kubernetes to streamline deployment processes for AI/ML models and applications. Improved web apps with Flask backend and React/Next.js or Vue.js frontend, integrating ML components for enhanced performance. Implemented automated testing frameworks to ensure reliability and stability of ML-driven apps.
Data Scientist & AI/ML Specialist at Bizabbo
August 20, 2019 - PresentLed a team in developing REST APIs with Python/Flask and architected scalable ML pipelines. Built ML-powered REST services and integrated training-inference workflows with front-end interfaces, enabling rapid deployment of models.
Data Scientist & AI/ML Specialist at Bizabo
August 1, 2019 - PresentLed a team developing RESTful APIs with Python, enabling seamless data flow between frontend frameworks and web applications.
Software Engineer
June 1, 2017 - PresentDeveloped complex front-end functionalities using Bootstrap, Tailwind CSS, and Material UI; led teams to design visually appealing user interfaces; deployed ML components; implemented Agile methodologies.
Software Engineer at Lets Remotify
June 1, 2017 - PresentApplied Agile methodologies to develop visually appealing user interfaces using Bootstrap, Tailwind CSS, and Material UI, contributing to a 10% reduction in bounce rates. Led front-end development with React/Next.js and Vue.js, while enabling ML/AI components in apps.
Software Engineer
June 1, 2017 - PresentApplied Agile methodologies and object-oriented design in Python and JavaScript to streamline development of ML applications and services. Directed teams to design visually appealing user interfaces using Bootstrap, Tailwind CSS, and Material UI, resulting in a 10% reduction in bounce rate. Deployed complex front-end functionalities using AngularJS and React, leading to a 10% increase in user engagement and satisfaction across devices.
Education
Qualifications
Bachelor's Degree
January 11, 2030 - September 5, 2025Bachelor's Degree
January 11, 2030 - September 5, 2025Industry Experience
Software & Internet, Media & Entertainment, Professional Services, Computers & Electronics
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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