Available for opportunities

Ramon

"Red" Macasa

Building distributed systems, researching networking, and crafting AI-powered tools at UC Santa Barbara.

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Experience

Where I've
been building.

Undergraduate Research Assistant

CURRENT
SNL LabDec 2025 – Present

Conducting research on distributed network systems, analyzing protocol behavior and performance characteristics in high-throughput environments.

Full-Stack Developer

CURRENT
ACM IndustryJan 2026 – Present

Building production web applications and internal tooling, collaborating with cross-functional teams to ship features for real-world clients.

Mentee

CURRENT
ACM ResearchMar 2026 – Jun 2026

Selected for the competitive mentorship program, conducting guided research under faculty mentorship on AI/ML security and LLM robustness.

Software Engineering Intern

WVR ClinicJun 2025 – Sep 2025

Built and deployed internal tooling to streamline prior authorization workflows, reducing processing time through AI-assisted document generation.

Projects

Things I've
shipped.

01

NetVibe

Distributed Systems

Go · Prometheus · Zap

Distributed network monitoring system built in Go. Real-time metric collection, structured logging with Zap, and Prometheus integration for observability at scale.

02

RLM Prompt Injection Research

Research

Python · LLM Security

Original research comparing recursive vs single-pass LLM vulnerability exploitation. Identified novel attack surfaces in multi-turn reasoning model architectures.

03

agentprobe

AI Security

Python · Anthropic API · asyncio

LLM red-team harness for systematic adversarial testing of language models. Async architecture for high-throughput probe generation and response evaluation.

04

TalkThrough

AI / Voice

React · Voice AI

AI-powered voice interview platform built at SB Hacks. Real-time speech processing with intelligent feedback loops for interview preparation and coaching.

05

Justify

AI / Healthcare

React · LLM Integration

AI prior authorization letter generator for clinical workflows. Reduces manual documentation burden by auto-generating compliant letters from patient data.

06

Stock Trend Predictor

ML / Finance

Python · scikit-learn

End-to-end ML pipeline for equity trend classification. Feature engineering from OHLCV data with ensemble methods for directional prediction.

Stack

What I
work with.

GoGo
PythonPython
TypeScriptTypeScript
JavaScriptJavaScript
JavaJava
RustRust
C++C++
ReactReact
Next.jsNext.js
FastAPIFastAPI
Node.jsNode.js
DockerDocker
PostgreSQLPostgreSQL
RedisRedis
GitGit
PrometheusPrometheus
LinuxLinux
Distributed SystemsFull-Stack DevAI / MLReal-Time Data StreamingNetwork ResearchLLM SecurityDistributed SystemsFull-Stack DevAI / MLReal-Time Data StreamingNetwork ResearchLLM Security

Contact

Let's work
together.

redmacasa@gmail.com
Ramon "Red" MacasaCS @ UCSB · 2026
Resume