Evaluation & quality
Experience with labeling instructions, model performance analysis, data integrity and distribution, regression testing, and user acceptance testing.
Evan Brown · Austin, Texas
AI evaluation & machine learning engineering.
I work at the intersection of model performance, data quality and practical software delivery. My background spans production machine learning, data science and LLM workflows, with more than a decade of hands-on technical work.
PythonSQLNLPModel evaluationData qualitySoftware testing
How I work
Careful analysis. Useful results.
I turn ambiguous requirements into concrete technical work, examine where errors come from, and explain findings clearly enough for other people to act on them.
Python & SQL
Data preparation, ETL, statistical analysis, forecasting and experiment analysis using tools including pandas, NumPy, scikit-learn and SQL.
Applied AI systems
Production ML, computer vision, NLP question answering, semantic retrieval and LLM workflows, with attention to deployment constraints and reliability.
Selected experience
From data science to production AI.
Mar 2024 – Present
Cognilode
Founder & Principal AI/NLP Engineer
I founded Cognilode as an independent AI engineering venture. My work includes LLM workflows for code analysis, planning, review, documentation and QA support, alongside prototypes in semantic retrieval, structured reasoning and agentic software delivery.
Jan 2022 – May 2024
ViaTouch Media
Senior Machine Learning Engineer
Worked on machine learning and NLP for customer interaction, checkout automation and pose classification. Responsibilities included instructing offshore labeling teams, evaluating model performance and data quality, coordinating deployments, and performing regression and user acceptance testing.
Aug 2018 – Oct 2021
SEEK XR
Computer Vision Engineer
Developed virtual try-on pose tracking with TensorFlow and PyTorch. Managed cloud training and datasets with AWS SageMaker, EC2 and S3, tracked experiments, and worked with front-end developers to optimize models for the browser.
Jul 2015 – Aug 2018
Ignite Visibility
Data Scientist
Used SQL, statistical modeling and Python data tools for forecasting, media mix modeling, customer segmentation and ad hoc research. Communicated findings to support operational and marketing decisions.
Education
Portland State University
B.S. in Mathematical Economics · 2015
Training in econometrics, probability and statistics, calculus, linear algebra and economic modeling.
At Cognilode
Engineering in context.
Cognilode is where I develop and apply ideas about LLM workflows, practical AI systems and software reliability. The company’s technical writing explores the surrounding engineering: evaluation, retrieval, computer use and long-running systems.
Remote work
Let’s put the work to use.
I’m interested in remote AI evaluation, data quality and machine learning opportunities where careful analysis, clear written communication and practical execution matter.