# Michael Sexton > AI Engineer, Data Scientist, Full Stack Engineer Location: New York, New York, United States Profile: https://flows.cv/michaelsexton I am an AI Engineer and Full-Stack Engineer, specializing in building scalable solutions and solving complex problems in AI, Machine Learning, Data Science, and Full-Stack Development. I hold a Master of Engineering in Computer Science from Cornell University, where I focused on deep neural networks, artificial intelligence, and data science. Prior to that, I earned a Bachelor of Science in Computer Engineering and Computer Science from the University of Wisconsin-Madison in 2022. At Code Ocean, where I contributed to enhancing batch processing and genomics data analysis on a computational reproducibility platform. I then spent two years at IBM as a Data Scientist and Software Developer, leading projects in machine learning pipelines, predictive analytics, and failure prevention for large-scale systems. Most recently, I have developed full-stack systems at MadMen AI, where I built and optimized web applications using Next.js, React, Prisma, and Postgres to enhance marketing workflows and improve system performance. I am passionate about applying AI and software engineering to drive meaningful advancements in healthcare, drug discovery, and business optimization. I am always open to collaborations and opportunities in AI & Machine Learning, Data Science, and Full-Stack Engineering. Feel free to connect with me or reach out at ms3648@cornell.edu. Key Skills: Python, Deep Neural Networks, Machine Learning, Artificial Intelligence, Data Analysis, Full Stack Development (React, Next.js, Node.js, Prisma), Cloud Computing, CI/CD Pipelines. ## Work Experience ### Full Stack Engineer @ Junior Jan 2025 – Present | New York, New York, United States ### Software Engineer @ MadMen AI Jan 2024 – Jan 2025 • Validated ad effectiveness by analyzing campaign flight times using Python and Facebook's Ad Library, driving key product and marketing insights. • Automated workflows for marketers by building new features with Next.js, Prisma, and Postgres, improving efficiency and reducing manual effort. • Improved application performance 10x by introducing pagination, asynchronous processing, and client-side caching; managed end-to-end deployments and production debugging. ### Master's of Computer Science @ Cornell Tech Jan 2023 – Jan 2024 | NYC ### Master's of Computer Science @ Cornell University Jan 2023 – Jan 2024 • NYC Roosevelt Island Cornell Tech Campus • Student Ambassador • Merit Scholarship Recipient • Co-President of the Cybersecurity Club • Relevant Coursework: Data Science in the Wild, Machine Learning Engineering, Applied Machine Learning, Applied Data Science, Security and Privacy in the Wild, Algorithms. ### Data Scientist and Software Developer @ IBM Jan 2022 – Jan 2023 | Poughkeepsie, New York, United States • Directed thermal diagnostics for the IBM z15 Themis and z16 Artemis systems, influencing production operations globally, including in Japan, Australia, Germany, Texas, South Africa, and Brazil. • Implemented advanced data analysis techniques in production, leading to significant fault detection and prevention worldwide. • Integral in updating production firmware and hardware in new IBM shipments through detailed Failure Analysis. • Enhanced reporting and maintenance protocols for multiple generations of IBM production products. ### Data Scientist @ IBM Jan 2021 – Jan 2022 • Developed and deployed a Machine Learning pipeline for predicting CPU failures in over 10,000 production Mainframes. • Employed SQL, Python, and Kubeflow for processing large-scale production data. Key contributor to reducing unexpected production downtime by forecasting failures 30 days in advance. • Played a vital role in enhancing the reliability of production systems in Mainframes globally. Improved production methodologies and processes through innovative data analysis. ### Data Science Intern @ IBM Jan 2021 – Jan 2021 • Assisted in software solutions development for Mainframe system diagnostics using SQL and Python. • Participated in projects aimed at enhancing Mainframe uptime and reducing reactive repairs. • Gained hands-on experience in data science and machine learning in a professional setting. • Supported the maintenance and optimization of Mainframe performance. ### Engineering Student @ University of Wisconsin-Madison Jan 2018 – Jan 2022 | Madison, Wisconsin Area • Bachelor of Science with a double major in Computer Engineering and Computer Science. • Deans List. • Member of the Artificial Intelligence Club, Data Science Club, and Software Development Club. • Relevant coursework: Artificial Intelligence, Neural Networks, Database Management Systems, Data Structures. ### Data Scientist @ Code Ocean Jan 2020 – Jan 2021 • Balanced part-time work with ongoing academic studies. • Developed features using AWS Batch for processing large-scale genomics pipelines. • Engaged in Machine Learning and Data Science projects, focusing on genomics data analysis. ### Machine Learning/Data Science Intern @ Code Ocean Jan 2020 – Jan 2020 • Designed and executed data science customer analysis. • Focused on replicating results of cutting-edge research papers and tools in Bioinformatics and Computational Chemistry. • Produced self-contained computing environments using Code Ocean for reliable result replication. • Performed competitive analyses. ### Data Analyst Intern @ Paragon Global Markets, LLC Jan 2019 – Jan 2019 | New York, NY • Developed and implemented custom financial reporting software. • Utilized Python to build a powerful and efficient backend. • Managed database operations using PostgreSQL. • Employed Tableau for dynamic data visualization and advanced reporting functionalities. ### Intern @ Layer 7 Consulting Jan 2018 – Jan 2018 | New York, New York, United States • Actively shadowed experienced technicians during customer support and gained hands-on experience. • Conducted independent site visits to a diverse range of clients including hedge funds, brokerage firms, trading businesses, and law firms. • Diagnosed and remediated complex hardware and software problems in high-pressure environments. • Performed critical data backup and restoration tasks, ensuring client data security and integrity. • Built and configured specialized and custom computers tailored for high-frequency trading applications. ## Education ### Master's of Engineering in Computer Science Cornell University Jan 2023 – Jan 2024 ### Master's of Engineering in Computer Science Cornell Tech Jan 2023 – Jan 2024 ### Bachelor of Science - BS in Computer Engineering & Computer Science University of Wisconsin-Madison Jan 2018 – Jan 2022 ### Fordham University Jan 2017 – Jan 2018 ### Fordham Preparatory School Jan 2014 – Jan 2018 ## Contact & Social - LinkedIn: https://linkedin.com/in/michaelsexton21 - Website: https://michaeljsexton.com --- Source: https://flows.cv/michaelsexton JSON Resume: https://flows.cv/michaelsexton/resume.json Last updated: 2026-04-01