I am Andrew Long, a seasoned AI/ML software engineer with 10+ years of experience across the full machine learning life cycle. I design and ship end-to-end data pipelines, scalable inference services, and cloud-native ML platforms on AWS and Kubernetes, delivering robust systems that scale with user needs. I enjoy turning ambitious ideas into practical, measurable outcomes while mentoring teammates and collaborating across disciplines. In my work, I prototype agent-based workflows, experiment with prompting strategies, and build ML Ops pipelines to accelerate product insights. I’m passionate about delivering reliable performance at scale, improving model quality, and creating positive, impactful outcomes for users and stakeholders.

Andrew Long

I am Andrew Long, a seasoned AI/ML software engineer with 10+ years of experience across the full machine learning life cycle. I design and ship end-to-end data pipelines, scalable inference services, and cloud-native ML platforms on AWS and Kubernetes, delivering robust systems that scale with user needs. I enjoy turning ambitious ideas into practical, measurable outcomes while mentoring teammates and collaborating across disciplines. In my work, I prototype agent-based workflows, experiment with prompting strategies, and build ML Ops pipelines to accelerate product insights. I’m passionate about delivering reliable performance at scale, improving model quality, and creating positive, impactful outcomes for users and stakeholders.

Available to hire

I am Andrew Long, a seasoned AI/ML software engineer with 10+ years of experience across the full machine learning life cycle. I design and ship end-to-end data pipelines, scalable inference services, and cloud-native ML platforms on AWS and Kubernetes, delivering robust systems that scale with user needs. I enjoy turning ambitious ideas into practical, measurable outcomes while mentoring teammates and collaborating across disciplines.

In my work, I prototype agent-based workflows, experiment with prompting strategies, and build ML Ops pipelines to accelerate product insights. I’m passionate about delivering reliable performance at scale, improving model quality, and creating positive, impactful outcomes for users and stakeholders.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

English
Fluent

Work Experience

Software Engineer II / Engineer / SDET Intern at The Trade Desk
September 1, 2017 - September 1, 2017
Built scalable test automation frameworks for cloud-based applications, ensuring high quality in distributed systems and virtualized environments across AWS, GCP, and Azure platforms. Led test automation efforts using Python and Selenium to build robust UI and functional tests for cloud applications, reducing testing cycle times and improving release efficiency. Built and maintained CI/CD pipelines using Git, Jenkins, and Terraform, enabling continuous integration and automated testing workflows for faster delivery of quality cloud applications. Designed and executed detailed test strategies, test plans, and test cases for cloud networking protocols like TCP/IP, DNS, and DHCP, ensuring comprehensive coverage and system reliability. Mentored and led teams in Agile/Scrum environments, fostering collaboration and driving quality initiatives across development cycles, with a focus on automation and performance testing.
Software Engineer at Seesaw Learning
March 1, 2025 - March 1, 2025
Architected and developed scalable backend services and APIs, enabling reliable data flow and high-performance model serving across distributed systems. Built production-grade AI-enabled features and data pipelines, supporting millions of users across iOS, Android, and web platforms. Implemented end-to-end ML workflows, including model training, evaluation, and real-time inference, with robust monitoring and scalability in mind. Led continuous integration/continuous deployment (CI/CD) pipelines and cloud-native deployments to deliver rapid, high-quality updates.
Senior Software Engineer at Everturn AI
April 1, 2025 - November 27, 2025
Experienced full-stack and AI engineer leading the design, development, and deployment of AI-augmented end-to-end software systems. Built scalable microservices, integrated ML models into production pipelines, and improved data quality, model accuracy, and system reliability. Collaborated with product, data, and infrastructure teams to drive impact, optimize performance, and deliver user-centric solutions at scale.
Software Engineer II / SDET Intern at Microsoft (Xbox Division)
September 1, 2017 - September 1, 2017
Enhanced test coverage and diagnostics, designed cloud-based telemetry collection tools, and contributed to end-to-end testing pipelines. Worked on automating release feedback loops and improving reliability of builds and deployments.
AI Engineer at Productboard
December 1, 2023 - February 1, 2025
Built a genetic AI system using LLMs and LangChain to automate customer feedback synthesis and product insight generation across internal product workflows. Designed evaluation harnesses, embedded motif testing, and agent behaviors through research spikes to validate prompting strategies and tool orchestration prior to production deployment.
Senior Software Engineer at The Trade Desk
October 1, 2017 - June 1, 2023
Managed end-to-end development of high-throughput outputs and low-latency ML pipelines, increasing model throughput and scaling system operations under high-volume workloads by optimizing data flows and deployment processes.
Software Engineer II / SDET Intern at Microsoft (Xbox Division) – Redmond
February 1, 2014 - September 1, 2017
Built automated end-to-end testing frameworks and cloud-based diagnostic tooling; implemented CI/CD pipelines with Jenkins, GitHub Actions, and Docker to streamline deployments and improve release stability across distributed systems; contributed to telemetry collection and root-cause analysis to reduce MTTR.

Education

B.S. Computer Science at University of Illinois at Chicago
January 1, 2011 - January 1, 2013
A.S. Computer Science at Elgin Community College
January 1, 2009 - January 1, 2011
Bachelor of Science in Computer Science at University of Illinois at Chicago
January 1, 2011 - December 31, 2013
Associate of Science in Computer Science at Elgin Community College
January 1, 2009 - December 31, 2011
B.S. in Computer Science at University of Illinois at Chicago
January 1, 2011 - January 1, 2013
A.S. in Computer Science at Elgin Community College
January 1, 2009 - January 1, 2011

Qualifications

AWS Certified Solutions Architect – Associate
January 11, 2030 - November 11, 2025
AWS Certified Machine Learning – Specialist
January 11, 2030 - November 11, 2025
CCNA
January 11, 2030 - November 11, 2025
Hugging Face Transformers Course
January 11, 2030 - November 11, 2025
AWS Certified Machine Learning - Specialty
January 11, 2030 - November 27, 2025
AWS Certified Machine Learning - Specialty
January 11, 2030 - February 18, 2026
TensorFlow Developer Certificate
January 11, 2030 - February 18, 2026
Hugging Face Transformers Course
January 11, 2030 - February 18, 2026

Industry Experience

Healthcare, Software & Internet, Professional Services, Education, Gaming, Media & Entertainment