I’m a Computer Science student at UC San Diego with a minor in Cognitive Science, focused on software engineering, AI-driven products, and data-intensive applications. I enjoy building tools that solve practical problems, especially across healthcare, education, finance, and accessibility.
Languages
- Python, Java (Spring Boot), C/C++, TypeScript, JavaScript, SQL (Postgres), HTML/CSS
Frameworks & Libraries
- Backend: FastAPI, Flask, Node.js, Next.js, Spring Boot
- Frontend: React, React Native, Streamlit
- Data/ML: pandas, NumPy, Matplotlib, Seaborn, scikit-learn
- Testing: JUnit, PyTest
DevOps & Tools
- AWS, Google Cloud Platform, Docker, Kubernetes, Linux/Unix, Supabase, Firebase
- CI/CD pipelines, Git & GitHub for version control
Multimodal AI application for real-time wildlife identification and outdoor learning.
- Built a full-stack application that identifies wildlife from photo, audio, and video inputs using the Google Gemini 2.5 Flash API.
- Developed interactive features including an AR field scanner, an AI survival simulator, and an audio training system powered by ElevenLabs.
- Designed a geolocation-based community sightings feed and personal field guide backed by Supabase/Postgres for real-time updates and persistent species tracking.
Focus: multimodal AI, full-stack product design, and scalable edge-based architecture.
Interactive analytics platform for exploring soccer tracking data and tactical decision-making.
- Engineered an ETL pipeline that downsampled 25 fps World Cup tracking data to 10 fps, filtered frames around key match events, and loaded millions of rows into a normalized Supabase/Postgres schema across 15+ tables.
- Implemented Voronoi pitch control, grid-based expected threat (xT), and logistic regression pass probability models to quantify spatial dominance and passing danger per frame.
- Built a Streamlit tactical viewer with real-time heatmaps, pass overlays, and frame-by-frame pitch control diagrams queryable by match and event.
Focus: sports analytics, data engineering, and interactive decision-support tooling.
AI-assisted system that converts advisor meeting notes into structured, audit-ready compliance documentation.
- Built a full-stack AI-assisted workflow that transforms meeting notes and client profiles into structured compliance drafts, reducing manual write-up time from 20 minutes to 3 minutes.
- Implemented document ingestion, retrieval over compliance guidance, and AWS Bedrock-powered structured JSON generation with post-processing for more consistent outputs.
- Designed a human-in-the-loop review flow so advisors can inspect, edit, and approve each generated section before finalization.
Focus: applied NLP, backend system design, and human-centered AI.
Tool for analyzing personal investment portfolios using live market data.
- Built a portfolio analysis system that computes asset allocation, unrealized profit/loss, benchmark returns, and risk-adjusted performance (Sharpe ratio).
- Integrated live market data via yfinance, supporting configurable benchmarks, time horizons, and risk-free rates.
- Designed both a CLI interface and an interactive dashboard, enabling flexible analysis across different investing strategies.
Focus: financial data analysis, probabilistic reasoning, and decision-support tooling.
- Secured $4,000+ in sponsorships from companies like LPL Financial, Turner, Bank of America, Lockheed Martin, and Northrop Grumman.
- Organized high-impact workshops and networking events with 100+ attendees.
- Designed logistics and mentorship coordination for Ideathon, improving mentor–participant support.
- Verified, received, and routed incoming merchandise shipments while communicating quantity and quality discrepancies quickly and accurately.
- Performed data entry and inventory updates in NetSuite and supported packing, labeling, and shipping to keep daily operations moving efficiently.
These roles strengthened my skills in communication, ownership, and cross-functional collaboration—all crucial for building impactful software.
- 🎓 CS @ UC San Diego, graduating 2028
- 🇲🇽 First-generation Mexican, U.S. citizen
- 🗣 Bilingual: English, Spanish
I’m currently looking for Software Engineering Internship opportunities where I can contribute to real products, learn from experienced engineers, and keep growing as a developer.
- 🧑💻 GitHub
- ✉️ Email: ral022@ucsd.edu
If you’re working on something at the intersection of software, data, finance, and human impact, I’d love to connect.