Marco Acea

Education

Carnegie Mellon University

08/2018 - 12/2022

Bachelor's of Science in Electrical and Computer Engineering

  • Structure and Design of Digital Systems
  • Web App Development
  • Principles of Imperative Computing
  • Logic Design and Verification
  • Intro to Embedded Systems
  • Fundamentals of Embedded Control

Experience

Bloomberg L.P.

07/2024 - Present

Software Engineer – Electronic Trading Order Management Systems

  • Contributed to a global electronic trading order management system used by thousands of financial institutions, supporting millions of trades and order events daily
  • Led development of an A/B testing and analysis framework that evaluated 10,000+ samples and identified high-impact issues before affecting live trading workflows
  • Built distributed logging and tracing tools to pinpoint system latency bottlenecks, reducing critical execution delays by up to 5+ seconds and improving trader responsiveness
  • Developed intuitive analytics dashboards that allowed trading desks, product teams, and engineers to audit system behavior and performance within seconds rather than hours

Boeing

03/2023 - 04/2024

Software Engineer

  • Developed automated UI integration tests using Selenium for web applications which significantly improved code base test coverage
  • Developed Virtual Machine devices for the High Fidelity Digital Twin Program

Intuit

05/2021 - 08/2022

Software Engineering Intern - DevX, Argo Project

  • Developed a containerized GraphQL Proxy Service using Typescript, Docker, and Redis for optimization, that protects API services from potentially malicious incoming requests using rate limiting and static query analysis
  • Developed new feature for the ArgoCD project that allows non-admin users to safely create Applications and Projects for themselves within a Kubernetes cluster.

23andMe

07/2020 - 09/2020

Software Engineering Intern

  • Built Flask-based internal application management dashboard for the Application Infrastructure Team, streamlining service monitoring and authentication workflows.

Projects

A/B Testing Risk Analysis Platform

10/2025 - Present
Unsupervised Learning
A/B Testing
Quantitative Analysis
Equities
  • Built a Python-based A/B testing analysis platform used to analyze large-scale behavioral data and extract actionable signals from 10,000+ experimental samples
  • Used unsupervised pattern discovery to identify non-obvious anomalies and structural deviations across experiments before client impact
  • Identified 5 critical integration issues and 3 runtime anomalies, reducing rollout risk by 20% across experiments affecting thousands of users globally

Mid-Frequency ML Trading System

Ongoing
Algorithmic Trading
Risk Management
Real-time Systems
Feature Engineering
  • Built electronic trading system processing S&P 500 data with neural networks (294K+ parameters) achieving 60%+ model accuracy and sub-100ms signal generation for real-time execution.
  • Conceived and developed production-grade system with risk management, position sizing, and automated model retraining, featuring real-time P&L tracking and order execution via Alpaca API.
  • Implemented monitoring stack with Prometheus/Grafana tracking win rates, fill rates, model/system latency metrics across 500+ symbols with 50+ technical indicators.