Andrew Long
@andrewlong1
Senior full-stack and AI engineer building scalable, production-grade AI and web systems.
United StatesWhat I'm looking for
I am a senior full-stack and AI engineer with over 10 years of experience designing, building, and deploying end-to-end software and AI systems across ad-tech, entertainment, and education. I specialize in integrating machine learning models into production, optimizing model performance, and creating scalable web architectures.
My work has driven measurable impact: I increased model efficiency by 30% at Evertune AI, built AI engines that improved ROI by 20% at The Trade Desk, and delivered NLP and LLM-based automation that cut manual effort by up to 60% at Seesaw Learning. I combine strong backend skills (FastAPI, Docker, AWS) with frontend experience (React) to deliver full-stack solutions.
I value collaboration and operational excellence, leading cross-functional teams to ship reliable systems, streamline pipelines, and improve observability and responsiveness. I pursue continuous improvement through MLOps, CI/CD, and cloud-native best practices to ensure AI systems deliver business outcomes.
Experience
Work history, roles, and key accomplishments
Software Engineer
Evertune AI
Apr 2025 - Present (7 months)
Led data-driven experiments and model improvements that increased model efficiency by 30% and prediction accuracy by 25%, and drove production integrations that avoided deployment performance degradation.
Software Engineer
Seesaw Learning
Jan 2025 - Mar 2025 (2 months)
Built NLP and LLM-based systems to convert resources and auto-grade reading fluency, increasing content creation speed by 40% and cutting manual grading time by 60% while enabling real-time feedback at scale.
Lead / Senior Software Engineer
The Trade Desk
Oct 2017 - Jun 2023 (5 years 8 months)
Developed AI-powered engines and ML pipelines that improved targeting ROI by 20% and prediction speed by 35%, optimized backend processing to reduce times by 40%, and lowered storage costs by 25% with AWS integrations.
MIImproved test automation and CI/CD to reduce manual testing and deployment times by ~70%, designed cloud-native microservices for Xbox Live improving processing time by 30%, and built diagnostic tooling reducing issue resolution by 40%.
Music Producer / ML Engineer
Self-Employed
Built ML pipelines for genre classification and metadata generation that cut manual tagging by 50% and improved metadata consistency by 30%, and deployed FastAPI services and dashboards to automate metadata submission and quality assessment.
Education
Degrees, certifications, and relevant coursework
UCUniversity of Illinois at Chicago
Bachelor of Science, Computer Science
2011 - 2013
Completed a Bachelor of Science in Computer Science focused on software engineering and machine learning fundamentals.
ECElgin Community College
Associate of Science, Computer Science
2009 - 2011
Completed an Associate of Science in Computer Science preparing for transfer to a four-year CS program with coursework in programming and systems.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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