Experience
AI Engineer, Hyper Company, Plantation, FL
03/2026 — Present
- Designing custom agentic AI workflows (multi-agent orchestration, autonomous decision loops, context management) for enterprise clients.
Software Engineer, Pacman HEF, Sunrise, FL
06/2025 — 02/2026
- Architected full-stack construction management application using Vite/React, Express.js, and PostgreSQL, deployed on-premise with Docker and Kubernetes.
- Integrated vision and language models to automate operational workflows and real-time decision intelligence.
- Owned CI/CD pipelines (Docker containerization, end-to-end testing, dependency management) that accelerated release cycles.
Research Co-op, Forschungszentrum Jülich, Aachen, Germany
01/2024 — 06/2024
- Developed C++/Python libraries for simulated brain-inspired computing hardware solvers to measure performance on complex optimization problems.
- Benchmarked algorithms on JURECA HPC cluster (256 CPUs, Slurm/OpenMP), achieving significant runtime reductions.
- Co-authored IEEE ICRC 2024 paper on gradient matching for quadratic Ising machines (Best Paper Honorable Mention).
Software Engineer Co-op, Wayfair, Boston, MA
01/2023 — 06/2023
- Designed and tested Python FastAPI endpoints for internal platform infrastructure, optimizing database queries and ensuring secure data access.
- Developed comprehensive unit tests and automated CI/CD processes for an internal project catalog serving enterprise-scale usage.
Projects
🚘 RL-Based Traffic Flow Optimization (Q-Learning + Graph Simulations) [GitHub]
- Designed and implemented a reinforcement learning agent using Q-learning to optimize traffic signal timing in a simulated urban grid network.
- Modeled road networks as dynamic graphs, training the agent to minimize average wait times and congestion through real-time decision loops.
- Delivered a full project paper (included in repo) demonstrating convergence and performance gains over baseline fixed-timing systems.
🪐 Exoplanet Parameter Estimation (Doppler Spectroscopy + Local Search) [GitHub]
- Built a custom optimizer combining Doppler spectroscopy data analysis with local search heuristics to estimate exoplanet orbital parameters (mass, period, eccentricity) from radial velocity datasets.
- Leveraged NumPy/SciPy for signal processing and custom Python simulations to handle noisy astronomical observations.
- Achieved high-accuracy fits on synthetic and real datasets, showcasing physics-first modeling under uncertainty.
🎧 In-Game Spotify Integration Feature (React + Spotify API in MMO) [GitHub]
- Developed a React-based Spotify player and playlist manager embedded directly into an existing MMO client.
- Integrated Spotify Web API for real-time authentication, track playback control, and dynamic playlist syncing with in-game events.
- Handled edge cases like session persistence, cross-device control, and UI that feels native to the game environment (Vite/React frontend, custom hooks).
👾 Retro-Style Video Game Graphics Emulator (Java) [GitHub]
- Developed a Java-based proof-of-concept emulator for retro-style video game graphics, enforcing limited color palettes and resolution constraints to recreate the aesthetic of classic 8-bit/16-bit games.
- Explored pixel-level rendering techniques and custom graphics pipelines from first principles.
- Built as a pure creative sandbox to experiment with visual constraints and performance on legacy-style hardware emulation.
More on GitHub: github.com/mauted
Publications
Gradient matching of higher order combinatorial optimization in quadratic Ising machines 2024 IEEE International Conference on Rebooting Computing (ICRC) (Honorable Mention for Best Paper Award) Dmitrii Dobrynin, Mauricio Tedeschi, Arne Heittmann, John Paul Strachan.
- We propose a gradient matching algorithm that leverages existing Ising machine or in-memory Hopfield neural network architectures to approximately recover the native energy landscape of higher-order combinatorial optimization problems. This enables more efficient solving on quadratic hardware accelerators without expensive quadratization.
- Featured in Northeastern University newsletter: Brain-inspired computing co-op
Education
Northeastern University, Boston, MA 2021 — 2024
- BS in Computer Science and Physics, Magna Cum Laude
- GPA: 3.8/4.0