# Bret Wilson > Full Stack Engineer | AI/LLM Integration • React • TypeScript Location: Martinez, California, United States Profile: https://flows.cv/bret As a Software Engineer at Blaide, I build full-stack applications leveraging React, React Native, and TypeScript to deliver end-to-end features that integrate LLM capabilities with modern web and mobile interfaces. As the first engineering hire, I work directly with the CEO, CTO, and senior engineering leadership to influence product direction and technical architecture. Previously, I spent five years as a Senior Data Analyst at Scopely, where I applied analytics expertise to optimize user behavior, feature performance, and revenue attribution for $250M+ gaming products. Outside of work, I'm passionate about making phenomenal homemade pizza, DIY 3D printing, filling my Steam library with unplayed games, and exploring the fascinating world of mathematics. I love learning about new technologies and finding unexpected ways to combine my data science background with modern software engineering. ## Work Experience ### Full Stack Engineer @ Blaide Jan 2024 – Present | San Francisco, California, United States - Led development of comprehensive AI recipe personalization engine integrating OpenAI across multiple recommendation contexts: dynamic recipe prompt suggestions, holiday and cookbook-based inspiration, pantry-aware meal planning, and user likes/dislikes - Worked directly with customers to address product feedback, delivering bug fixes and feature improvements with same-day turnarounds - Built agentic cookbook recognition system with OpenAI GPT-4.1 and intelligent ISBN matching, transforming personal cookbook libraries into digital recipe sources - Created real-time messaging portal with thread-based conversations, implementing optimistic UI updates with React Query, anonymous authentication, and multi-asset attachment support - Designed reusable component library with 40+ components using Tailwind CSS v4 and Catalyst UI design system ### Senior Data Analyst @ Scopely Jan 2022 – Jan 2024 | Remote - Implemented Simplex Volume Maximization with Python to create user archetypes, enhancing user segmentation and targeting strategies. - Developed EOD revenue prediction models using BigQuery and Python, and optimized with hyperparameter tuning. - Developed flexible Looker models and dashboards, enabling the content team to optimize game difficulty, contributing to more consistent revenue streams. - Created Live Ops revenue attribution pipeline to optimize LiveOps event types and IAP offerings. - Optimized and migrated ETL scripts from Vertica to BigQuery using Airflow, and implemented Python-based automated monitoring for database migration integrity. - Automated key reporting processes, including an executive revenue overview tracking $250M, enhancing report accuracy and efficiency. ### Data Analyst @ SpringML, Inc. Jan 2018 – Jan 2022 | Pleasanton, CA - Highly skilled in creating, optimizing, and maintaining complex data pipelines for real-time, historical, and predictive usecases - Created custom, interactive visualizations and dashboards for many different industries, users, and scopes - Built AI models by cleaning and engineering features from customer Salesforce data - Productionalized AI predictions by building custom web components - Ramped quickly with each new company/client (10+) on projects lasting 1-12 months - Communicated directly with client stakeholders and technical leads to define business requirements - Estimated, planned, and prioritized multi-phase projects for longer engagements (12+ months) - Certified "Tableau CRM & Discovery Consultant" and "Platform Developer 1" ### Data Science Student @ Thinkful Jan 2018 – Jan 2018 | San Francisco Bay Area Learning to solve machine learning problems in a professional development environment with the help of a personally assigned mentor. Leveraging previous experience in machine learning, Python, Pandas, Numpy, and Matplotlib to learn the statistics of data science and complete projects in supervised & unsupervised learning. Implementing state of the art libraries such as TensorFlow and Keras in the fields of deep learning, NLP, and Computer Vision. Projects: Seq2Seq Chatbot (coming soon to my GitHub page, post-bootcamp): The chatbot was trained on over 30,000 text messages between myself and my girlfriend. The model was written in Keras and uses a GAN autoencoder. (work in progress....) Contract Cheating Classifier Trained on data scraped from various contract cheating and student essay repository sites. Several Scikit-learn algorithms were trained and validated using a custom random search class to tune hyperparameters. The best algorithm was chosen among various SVC kernels, Random Forest, K-Nearest Neighbors, as well as other ensembles (bagged, boosted). Dimensionality reduction techniques used were LSA, LDA, NNMF, and Gensim's Doc2Vec. Human equivalent f1 score of 0.62 was acheived. IMDB Movie Score Classifier: Trained on comments scraped from YouTube movie trailers. Trailer sentiments were used to predict if a movie scored above or below a 6.4 on IMDb's website. Random Forests, SVM, K-Nearest Neighbors, and other ensemble methods were tuned and evaluated on an f1 metric, from which the best algorithm was chosen. Best f1 score of about 0.71 was achieved. Classic Literature Author Predictor: Given a sample of text from classic books such as Alice in Wonderland and Moby Dick, a Linaear SVC algorithm was able to obtain a accuracy of 0.96 on 126 authors. Unupervised dimensionality reduction techniques (TFIDF and LSA) were used as well. GitHub link: https://github.com/bgwilson12 ### Mechanical Engineering Consultant @ Nexus Engineering Jan 2017 – Jan 2018 | Modesto, California, United States Designed and drafted HVAC, plumbing, and medical gas systems for construction of pharmacies, hospitals, and commercial buildings. Communicated with architects, electricians, contractors, and other engineering disciplines to deliver more than 15 large scale project designs on time. ### Part Time Software Tester @ Tapestry Solutions, Inc. Jan 2016 – Jan 2017 | San Luis Obispo, California Logistics software QA tester in charge of designing, creating, and running test cases. Lead tester on an autonomous server maintenance & anomaly detection application that was in development for USTRANSCOM. More than 80 defect reported and 60 test cases written in an Agile Web Development environment with heavy JIRA use. ### Mentor @ Meathead Movers Jan 2014 – Jan 2016 | San Luis Obispo, California Area -Worked directly with the customer on move day; main point of contact between the customer and the company. -Leadership of over 50 workers in small crews. -Responsible for all documentation on move day. -Drove overhead box trucks to and from the move-site, sometimes driving long distances and finding lodging for crew overnight. ### Assisstant Journeyman @ Hamilton and Dillon Electric Jan 2012 – Jan 2014 Bought materials necessary to the completion of the project. Worked with small business owners to get materials delivered on time to the jobsite. Assisted in demolition of old equipment/electrical wiring ## Education ### Bachelor of Science (BS) in Mechanical Engineering California Polytechnic State University-San Luis Obispo ### Data Science Thinkful ## Contact & Social - LinkedIn: https://linkedin.com/in/bretwilson12 - Website: https://github.com/bgwilson12 --- Source: https://flows.cv/bret JSON Resume: https://flows.cv/bret/resume.json Last updated: 2026-04-05