Full-stack software engineer with 5+ years of experience building AI-integrated web applications and evaluating large language models for accuracy and code quality. Combines hands-on full-stack development (React, TypeScript, Node.js, Python) with direct experience training and assessing AI systems (RLHF evaluation, computer vision, generative AI integration). B.S. in Applied Mathematics from Washington State University.
Jan 2026 - Present
Perform RLHF evaluations and high-quality annotations on 100+ model responses weekly to train and refine LLMs on software development and code-generation tasks. Score model responses against detailed engineering rubrics across Python, C++, C#, JavaScript, HTML, and CSS, ensuring accuracy, clarity, and adherence to best practices. Review peer annotations and provide structured feedback to maintain consistency and quality standards across the labeling team. Evaluate model behavior on real GitHub pull requests spanning multi-file context, debugging, and feature development.
Apr 2025 - Nov 2025
Simulated autonomous space-robotic behaviors for NASA's Astrobee platform using Gazebo, RViz, Ubuntu 20.04, and Docker. Led and mentored a 3-person intern team to build a CNN-based computer vision model (Python, NumPy, Keras, PyTorch) for identifying aircraft, vessels, and ASAT weapons in satellite imagery. Built reusable React UI components (forms, cards, modals) that sped up development cycles and standardized design across the platform. Delivered dynamic, data-driven pages for character descriptions and script-generation workflows, streamlining filmmaker production workflows. Integrated frontend features with REST APIs using Node.js, TypeScript, and Postman in close collaboration with UI/UX and backend teams.
Oct 2023 - Jan 2025
Completed 5,000+ high-quality annotation tasks training LLMs on software development and code generation across Python, JavaScript, C++, C#, and Ruby. Unit tested AI-generated code for correctness and adherence to coding standards and best practices. Delivered detailed technical feedback on AI-generated code responses, contributing to measurable improvements in model accuracy across multiple languages. Managed concurrent annotation projects across five programming languages while maintaining quality and turnaround targets.
May 2022 - Sep 2023
Built Unreal Engine and Unity plugins integrating OpenAI GPT-4 and Stable Diffusion using C++, Python, and C#. Integrated AWS Cognito, S3, EC2, and Lambda for authentication, storage, and compute; rendered graphics with OpenGL. Built a financial analysis web platform in React.js, translating Figma designs into responsive, interactive UI. Automated cryptocurrency trading via Coinbase, Alpaca, and Binance REST APIs. Developed interactive AR/mobile web experiences with Three.js and WebXR for 3D model visualization. Promoted to full-time Software Engineer based on performance.
Apr 2021 - Apr 2022
Improved site search accuracy by 50% by implementing multi-word query processing, fuzzy matching, and Levenshtein-based typo correction. Reduced search result processing time from 10 seconds to 1 second through algorithmic and query optimization. Built JavaScript/MongoDB tooling for large-scale product data correction and route optimization software in Python for delivery efficiency. Promoted to full-time Software Engineer based on performance.
Aug 2016 - May 2020
Washington State University
Majored in Applied Mathematics with Economics Minor. Graduated with a 3.2 cumulative grade point average. Scholarship chair and member of ACACIA Fraternity. Completed Courses such as Calculus, Differential Equations, Mathematical Optimization, Real Analysis, Mathematical Computing, Data Structures C/C++, Program and Design C/C++, Statistics, Linear Algebra, and Econometrics
Address
Phone
+1 253-507-3193
fernandezeddie54@gmail.com
