CS @ University of Florida · Class of 2028

Pedro
Amorim

Building finance tools and full-stack apps at the intersection of software engineering and markets. Based in Gainesville, FL.

Experience

May 2026 — Present

WRTH

Current

Backend Engineer Intern

AWS-Invested · NVIDIA Inception · Pre-Seed AI-Native Commerce Infrastructure

  • Built a Node.js/TypeScript webhook pipeline routing unresolved Intercom AI conversations to Zendesk agents, surfacing Salesforce contract data in the agent sidebar to reduce context-switching during live support sessions
  • Built a server-side Stripe payment integration for a live auction platform using Supabase Edge Functions and TypeScript — handling PaymentIntent creation, webhook signature verification, and payment status sync
  • Serving as primary backend engineer for a React Native buy/sell companion app, building a rate-limited Gemini Vision proxy for item identification and designing the Supabase schema and RLS policies powering a multi-merchant item lifecycle
  • Diagnosed a P1 production bug blocking vendor onboarding by auditing Supabase RLS policies and identifying a missing INSERT grant
  • Audited an eBay OAuth integration, surfacing token-revocation and configuration gaps ahead of launch

Sep 2025 — Present

CardMatch

Current

Founder & Full-Stack Engineer ↗ view repo

Zero-Friction Fintech Card-Recommendation Platform

  • Designed an object-oriented C++/Qt prototype that evolved into a full-stack fintech platform, reaching 2,500+ users and 5,000+ pageviews within 5 days of launch via organic Reddit distribution (100K+ impressions)
  • Built a Python/FastAPI backend handling guest sessions and rate limiting, with caching and dual deployment across Railway and Render for uptime and reliability
  • Designed a 48-card Supabase/PostgreSQL schema for issuers, APR, and reward tiers, backed by 240+ tests in a CI/CD pipeline (GitHub Actions)
  • Debugged a Python scoring algorithm — surfaced via user feedback — that over-weighted one spend category, rebalancing weights to deliver more accurate multi-card recommendations

Apr 2026 — Present

KingPool

Current

QA & Testing Engineer

Sportstech Startup (Early-Stage)

  • Audited onboarding, error states, and settings UI through structured 1:1 founder sessions, surfacing 6 actionable UX issues that informed product roadmap priorities

Projects

Kalshi Edge

End-to-end prediction market signal engine ingesting live Kalshi exchange data. Computes Z-score deviations from category-derived probability baselines with time-to-expiry correction, flagging OVERPRICED/UNDERPRICED markets. FastAPI serving layer with in-memory caching fronted by an interactive Streamlit dashboard. Built for Zerve Hackathon.

|Z| > 2.0 anomaly threshold · 4 API endpoints · Live filtering

Python FastAPI Streamlit REST API Statistics
StellarOps Indexer — Open Source Contribution

Contributed a contributor-activity-summary REST endpoint, including tests and documentation, to this open-source GitHub indexing tool.

Merged PR

TypeScript Express Node.js
FIFA World Cup Ticket Market Analysis

Managed a portfolio of 40+ positions (~$40K capital), generating ~$16K net profit (~40% ROI) through data-driven market timing. Built Excel-based financial models tracking cost basis, platform fees, and net returns; analyzed historical pricing and demand data across marketplaces to optimize entry/exit timing.

~40% ROI · $16K profit · 40+ positions

Excel Data Modeling
Market Insight Dashboard

Live stock analysis tool processing OHLCV data for 5+ equities. Computes cumulative return, annualized volatility, RSI, and max drawdown with automated plain-English market summaries. Deployed as a fully interactive public web app on Streamlit Cloud.

~3s analysis generation · Live public URL

Python Pandas Streamlit Plotly NumPy

Skills

Languages

  • Python
  • C++
  • JavaScript
  • TypeScript
  • SQL
  • Dart

Frontend

  • React
  • HTML / CSS
  • Flutter
  • Streamlit

Backend

  • Node.js / Express
  • FastAPI
  • REST APIs
  • PostgreSQL

Data & Analysis

  • Pandas / NumPy
  • Plotly
  • Excel
  • Supabase

Cloud & Tools

  • AWS Lambda / Lex
  • Docker
  • Git / GitHub
  • Railway / Render

Certifications

Apr 2026

Google

Google Data Analytics Professional Certificate

  • Completed professional certificate covering data cleaning, analysis, visualization, and storytelling using SQL, R, and Tableau

Apr 2026

AWS

Introduction to Amazon API Gateway

  • Covered REST API design, HTTP methods, JSON data handling, and API endpoints & routing on AWS

Apr 2026

Simplilearn

Getting Started with AWS Services Fundamentals for Beginners

  • Completed foundational AWS training covering Amazon S3, AWS Lambda, and core cloud infrastructure

Apr 2026

Databricks

Get Started with SQL Analytics and BI on Databricks

  • Earned certification in SQL, data analysis, business intelligence, and data analytics on the Databricks platform
  • Credential ID: 10059305

Let's
connect.