Richard Gomez
I build data-driven and AI-powered systems that turn complex problems into usable products.
About Me
I’m a software engineer focused on building thoughtful, data-driven systems that balance performance, clarity, and real-world usability. I care about writing clean, maintainable code, designing scalable architectures, and turning complex problems into intuitive products that people can actually use.
Currently working across software, data, and AI, with a growing focus on modern web technologies like React and Next.js. I’m looking for opportunities to keep learning, ship meaningful work, and collaborate with teams that value both technical rigor and product thinking. Outside of coding, I enjoy exploring new ideas, staying active, and diving into projects that push me to think differently.
Selected Projects and Roles
Experience
Technical Research Associate - AI
Designed and ran adversarial prompt suites to systematically push model limits, uncovering failure modes across reasoning, formatting, and edge-case scenarios; generated high-quality labeled outputs used directly in downstream training pipelines
Built a synthetic website generation pipeline to simulate real-world user workflows, enabling structured evaluation of model behavior across complex, multi-step tasks and significantly expanding edge-case data coverage
Analyzed and benchmarked model outputs against human-generated baselines at scale, developing scoring frameworks that improved task approval rates by over 100% through iterative feedback loops and targeted data generation
Developed internal dashboards to track model performance in real time, surfacing key evaluation metrics and partnering with ML engineers to diagnose regressions and prioritize high-impact model improvements
Data Analyst Intern
Built and deployed a multilingual sentiment analysis API using XLM-RoBERTa, improving communication assessment accuracy by 15% and delivering more reliable insights across non-English sources such as Ukrainian
Analyzed 10,000+ news and social media records using Python, SQL, and Pandas to identify emerging narrative trends, producing insights that directly informed regional communication strategy
Designed and launched a unified Tableau dashboard integrating print and social media data, enabling real-time, region-specific reporting across all EBRD member countries and replacing fragmented reporting workflows
Led data sourcing and exploratory analysis for the EBRD Digital Index Project, quantifying key infrastructure indicators—including 4G coverage and internet penetration—to support cross-country benchmarking and policy decisions
Software Engineer
Built and deployed a production-grade full-stack web application used by hundreds of Philadelphia residents to discover public WiFi access points, combining geospatial visualization, real-time filtering, and secure OAuth 2.0 authentication via Google Identity Platform
Designed backend data models and optimized SQLAlchemy queries to efficiently manage geospatial data, user-generated reviews, and administrative workflows, ensuring fast and reliable database performance under concurrent usage
Iterated on the application through hands-on usability testing with local residents, translating qualitative feedback into targeted UI/UX improvements that enhanced accessibility and overall user experience
Diagnosed and resolved asynchronous race conditions in map filtering logic using jQuery, stabilizing UI state and ensuring accurate, real-time geospatial rendering across simultaneous user interactions
Let's Connect
I'm currently open to new opportunities. Whether you have a question or just want to say hi, my inbox is always open.