Hi, my name is

Adrian Melendez.

ML Engineer

Welcome to my home page! By education I am a theoretical physicist, but I ended up riding the Artificial Intelligence wave and falling in love with Machine Learning.

Resume
profile image

About Me

I hold two Bachelor’s degrees — one in Physics and one in Electronic Engineering — followed by a Master’s in Theoretical Physics and Astrophysics, with a focus on planet formation through data analysis.

After completing my studies, I decided to pursue an industry career rather than a PhD. I am currently working as an AI / Perception Engineer at GMV, a defense and aerospace company, where I research and develop state-of-the-art algorithms for multi-sensor fusion, particularly for camera and radar systems. My work focuses on object detection, multi-object tracking, and real-time, high-performance perception pipelines.

I enjoy tackling complex, open-ended problems and bridging the gap between research and production, from algorithm design to scalable system deployment.

Technologies I work with regularly:

  • Docker, Kubernetes
  • PyTorch, SciKit-Learn
  • Pandas, Polars
  • Jenkins, GitLab CI
  • Stone Soup
  • Ultralytics YOLO

Experience

AI / Perception Engineer - GMV
Jul 2023 - present

  • Research & Development in multi-sensor data fusion and object tracking for autonomous and defense-oriented systems.

  • Designed and implemented classical state estimation and tracking algorithms:

    • Kalman Filter (KF), Extended KF (EKF), Unscented KF (UKF), Cubature KF (CKF)
    • Particle Filter
    • Joint Probabilistic Data Association (JPDA)
    • Multi-Hypothesis Tracking (MHT)
    • Track-to-Track Fusion (centralized & distributed architectures)

  • Developed AI-enhanced filtering and learning-based fusion approaches:

    • KalmanNet, DANSE, APBM
    • Cross-modal fusion (Camera + Radar, Camera + LiDAR)
    • Hybrid model-based / data-driven tracking systems

  • Core developer of real-time sensor simulators (C++):

    • Radar (GMTI) and EO/IR systems
    • Physics-based and geometric modeling
    • Systems designed under strict real-time constraints (≤5 ms)

  • Lead algorithm developer for a real-time, agent-based sensor fusion pipeline (Python):

    • Comparative evaluation of multiple tracking approaches
    • Large-scale metrics analysis and benchmarking
    • Containerized deployment (Docker/Podman) and Kubernetes orchestration

  • Infrastructure & tooling:

    • ZeroMQ & Protocol Buffers (inter-process communication)
    • CI/CD with GitLab CI & Jenkins
    • Infrastructure as Code (Pulumi)
    • Compute server administration & GPU workload management
Member of Nanomagnetism Group - CIC nanoGUNE
Jun 2021 - Aug 2021
Summer internship at CIC nanoGUNE as a member of the Nanomagnetism Group. Research on ferromagnetic phase transitions in exchange graded layers. Knowledge of nanomagnetism basic concepts and data analysis with Python.

Education

Sep 2022 - Jul 2023
Master of Theoretical Physics | Astrophysics
Universidad Autónoma de Madrid (UAM)
GPA: 8.91 out of 10
Specialized in planet formation and data analysis.
Academic Record
Sep 2017 - Jul 2022
Bachelor of Science in Physics
Universidad del País Vasco (EHU)
GPA: 8.93 out of 10

Honors in several subjects during the degree:

  • Physics | Chemistry I | Experimental Techniques I (Laboratory) | Algebra and Geometry
  • Experimental Techniques III | Nuclear and Particle Physics | Solid State Physics I
  • Electrodynamics | Instrumentation I | Sensors and Actuators | Signals and Systems
Academic Record
Sep 2017 - Jul 2022
Bachelor of Science in Electronic Engineering
Universidad del País Vasco (EHU)
GPA: 8.96 out of 10

Honors in several subjects during the degree:

  • Programming Fundamentals | Electronics | Instrumentation I | Linear and Non-Linear Circuits
  • Electronic and Optoelectronic Devices | Signals and Systems | Sensors and Actuators
Academic Record

Projects

Tennis Tracking
Sport Computer Vision Machine Learning
Tennis Tracking
An AI/ML-powered system for advanced tennis match analysis using computer vision and object tracking.
Electronic Engineering Thesis
Exoplanets Machine Learning
Electronic Engineering Thesis
Thesis of my Bsc on Electronic Engineering in Spanish
PDF
Physics Thesis
Particle Physics Bibliographic
Physics Thesis
Thesis of my Bsc on Physics in Spanish
PDF

Get in Touch

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