AI & Robotics Engineer — building intelligent systems that shape the real world.

Ambitious and technically skilled developer with hands-on experience in machine learning, AI, autonomous robotics, quant trading, and back‑end systems. I leverage deep math, wide technical knowledge, and strong coding to ship robust systems end to end.

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Featured Projects

Selected work across robotics, AI, and data systems.

Adaptive Optics Control Library (ESA project)
Adaptive Optics Control Library (ESA project)

Software library enabling satellite‑to‑telescope laser communication under high atmospheric turbulence. Includes control algorithms, testing, and operations tooling. In partnership with the European Space Agency.

Adaptive Optics Control Library (ESA project)
Deep Learning Segmentation Model for Medical Tests Assistance

PyTorch Model Implementation. Ensemble Architecture of multiple SOTA models for generalization enhancement. Data Augmentation Strategies. Transfer Learning accross different medical datasets.

Robotic Arm and peripheral control
End 2 End Robotic Arm and peripherals Control Library and UI interface

Team Leader, Wrappup SDK library for the xArm6 Robotic Arm. Development of python library to achieve clients applications (Path following and End Effector excecution); Electronic Sensor (Peripheral devices) implementation and control based on SDK library development, Astronomical camera and image procesing, inclonemeter data ETL, Lens controller.

Intelligent Document Q&A (RAG)
Autonomous Automotive Rear Spoiler

Intelligent control based on Deep Q-Learning for the mitigation of lateral accelerations. ; Electronic implementation, Sensor data retieval, Designed in SolidWorks, 3D printed, Modelled in Matlab, Keras Neural Network. Awarded finalist best paper on Japan Mechatronics conference.

Intelligent Document Q&A (RAG)
Intelligent Document Q&A (RAG)

Retrieval‑Augmented Generation pipeline with LangChain, GPT‑4, and ChromaDB; exposed via FastAPI for internal policy/document Q&A.

Underwater Mapping & Damage Detection
Underwater Autonomous Vehicle - Robotics Engineer

3D point‑cloud pipeline for underwater inspection. ROS data engineering and noise filtering for navigation. On mission Robot Operation and mantainance.

Services

How I can help.

AI & Data Science

Forecasting, Classifiers, LLMs, RAG apps, Chatbots, Reinforcement Learning, computer vision, Business Intelligence, analytics pipelines, Amazon Web Services.

Robotics

Autonomous Robotics, Robotic Arms, SLAM, Navigation, Perception, Control systems, Motion Planning, sensor/ROS integration, Modelling.

Full‑Stack

APIs with FastAPI/Flask; dashboards; static front‑ends or React; Data Bases SQL.

Quant Trading and Portafolio Management

Modern Portafolio Theory, Automation of investing systems, PineScript Coding, Macro, technical, funtamental, quantitative analysis.

Drone Pilot

Real Estate photography & videography, Construction progress, Topographic Surveys, 2D & 3D Mapping, Cinematic Videos, Inspection & Monitoring Services, Search & Rescue

Professional Career

  • Software Engineer — Dynamic Optics - Padova (2024–2025)
  • Quantitative Dev & Portfolio Analyst — LatamLead - (2019–INF)
  • Deep Learning Researcher — University of Padova (2024)
  • Robotics Software Engineer — Subdron - Bregrenz (2023)
  • Machine Learning Engineer — Natma - Mexico City (2020-2022)

Technical Stack

  • Python, C/C++, PineScript, Matlab/Simulink FastAPI, Django
  • PyTorch, TensorFlow, Keras, scikit-learn, LangChain, Pandas
  • Computer vision, OpenCV, OCR, forecasting, quant research
  • ROS/Gazebo, Modbus, point-cloud processing, LiDAR, SolidWorks
  • AWS, Docker, Linux, Git, SVN, Tableau, PowerBI, Jira, Scrum,
  • SQL, NoSQL (MongoDB), REST, GraphQL, Docker
  • JavaScript, HTML, CSS, React
Education
  • M.Sc. Computer Engineering — University of Padova (2022–2024)
  • B.Sc. Mechanical Electrical Engineering — Tecnológico de Monterrey (2016–2020)
  • Data Science Nano Degree — Acamica Careers (2021)
  • International Exchange - Universidad Politecnica de Catalunya (2019)
Certifications
  • SQL for data science - University of California (2023)
  • Self Driving Cars Specialization - University of Toronto (2023)
  • Algorithmic Trading Python+AWS - Udemy (2022)
  • AWS Fundamentals - Amazon (2021)
  • Natural Language Processing - Deep Learning.AI (2020)
  • Deep Learning Specialization - Deep Learnig.AI (2020)
  • Deep Reinforcement Learning - SuperDataScience (2020)

Contact

Based in Miguel Hidalgo, Mexico City. Reach me via email or the form.

Email

rotciveb@gmail.com

Phone/WhatsApp

+39 347 546 6543

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