Hi, I’m Jackson Wendall, a Senior Full-Stack / AI Engineer focused on building scalable, production-grade software and AI evaluation systems. I design distributed backend services, optimize data pipelines, and develop robust API-driven applications using Python, FastAPI, PostgreSQL, Next.js, and Redis. I bring strong fundamentals in algorithms, system design, debugging, testing, and performance optimization. I also collaborate on AI evaluation workflows, structured annotation projects, and model validation tasks requiring analytical thinking and precise written communication. I enjoy modern enterprise software experiences, legacy modernization, and ensuring reliability across web, backend, and ML environments.

Jackson Wendall

Hi, I’m Jackson Wendall, a Senior Full-Stack / AI Engineer focused on building scalable, production-grade software and AI evaluation systems. I design distributed backend services, optimize data pipelines, and develop robust API-driven applications using Python, FastAPI, PostgreSQL, Next.js, and Redis. I bring strong fundamentals in algorithms, system design, debugging, testing, and performance optimization. I also collaborate on AI evaluation workflows, structured annotation projects, and model validation tasks requiring analytical thinking and precise written communication. I enjoy modern enterprise software experiences, legacy modernization, and ensuring reliability across web, backend, and ML environments.

Available to hire

Hi, I’m Jackson Wendall, a Senior Full-Stack / AI Engineer focused on building scalable, production-grade software and AI evaluation systems. I design distributed backend services, optimize data pipelines, and develop robust API-driven applications using Python, FastAPI, PostgreSQL, Next.js, and Redis.

I bring strong fundamentals in algorithms, system design, debugging, testing, and performance optimization. I also collaborate on AI evaluation workflows, structured annotation projects, and model validation tasks requiring analytical thinking and precise written communication. I enjoy modern enterprise software experiences, legacy modernization, and ensuring reliability across web, backend, and ML environments.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Work Experience

Senior Full-Stack / AI Engineer at Nexus AI
January 1, 2025 - Present
Designed and deployed scalable backend systems supporting AI model evaluation workflows and distributed processing; Built RESTful APIs and full-stack applications using Python, FastAPI, PostgreSQL, Next.js, and Redis; Improved API response performance and optimized backend throughput for real-time AI systems; Evaluated AI model outputs and contributed to prompt optimization and model reliability initiatives; Collaborated on data-intensive systems requiring analytical review, debugging, and structured feedback processes.
Full-Stack Software Engineer at Outlier AI
January 1, 2024 - Present
Developed internal dashboards and evaluation tools for AI model assessment workflows; Built scalable backend services and data pipelines for grading and annotation systems; Implemented caching and optimized data processing performance using SQL databases and asynchronous workflows; Worked on software evaluation tasks involving technical reasoning, debugging, and structured analysis; Contributed to AI training and validation projects requiring high attention to detail.
Software Engineer at Scale AI
January 1, 2023 - January 1, 2024
Engineered backend services and processing pipelines for large-scale AI data systems; Optimized workflows for distributed processing and improved system efficiency; Supported AI model training infrastructure and software evaluation initiatives; Collaborated with technical teams on debugging, system optimization, and infrastructure reliability.
Machine Learning Engineer at IBM
January 1, 2022 - January 1, 2023
Developed and deployed NLP and machine learning applications in production environments; Built APIs and scalable services for model serving and real-time processing; Improved reliability and performance of AI pipelines through testing and optimization; Worked with structured datasets, analytics workflows, and cloud-based deployment systems.

Education

Doctor of Philosophy (PhD) in Software Engineering at Massachusetts Institute of Technology (MIT)
January 1, 2023 - January 1, 2026
Master of Science (MSc) in Software Engineering at Massachusetts Institute of Technology (MIT)
January 1, 2020 - January 1, 2023
Bachelor of Science (BSc) in Software Engineering at Massachusetts Institute of Technology (MIT)
January 1, 2016 - January 1, 2019

Qualifications

Stanford Machine Learning
January 11, 2030 - May 29, 2026
Google Cloud AI
January 11, 2030 - May 29, 2026
IBM Data Analytics
January 11, 2030 - May 29, 2026
AWS Machine Learning Foundation
January 11, 2030 - May 29, 2026

Industry Experience

Software & Internet, Computers & Electronics, Professional Services