Open to opportunities

Benjamín Arratia

@benjarratia

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Robotics engineer and PhD bridging ML, IoT, and robotics to deliver deployable autonomous systems.

Spain

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What I'm looking for

I seek engineering roles where I can develop and deploy ML-enabled robotics and IoT systems, collaborate in multidisciplinary teams, and work on field-tested, impact-driven projects.

I am a Robotics Engineer with a PhD in Computer Science focused on bringing machine learning, IoT, and robotics research into practical, field-deployable systems. I build ROS2-based autonomous robots, optimize TinyML for constrained devices, and design hardware prototypes for real-world deployments.

During my PhD and research positions I developed protocols and systems such as AlLoRa and BODOQUE, enabling long-range IoT communication and energy-efficient environmental monitoring, and I contributed to large EU-funded projects including SMARTLAGOON and REMARKABLE.

I have industry experience accelerating autonomous robot development, extending ROS2 planners, creating mission management services, and integrating mobile apps with robots via TypeScript libraries. I routinely use tools like Docker, AWS EC2, IsaacSim, and ROS2 for development and simulation.

I am collaborative, results-driven, and experienced in end-to-end prototyping—from PCBs and MicroPython firmware to TinyML models and field testing—demonstrated by publications, international research stays, and successful field trials.

Experience

Work history, roles, and key accomplishments

Robotics Software Engineer

Lucid Bots

Jul 2025 - Dec 2025 (5 months)

Contracted to accelerate development of Lavo AI autonomous floor-cleaning robot; expanded ROS2 grid coverage planner, implemented mission management services, and enabled plug-and-play autonomous operation, field-testing 344 m in 30 minutes.

TypeScript LIDAR Filtering Docker AWS EC2

Researcher

Universitat Politècnica de València

Jan 2022 - May 2025 (3 years 4 months)

Researched IoT and TinyML solutions for the SMARTLAGOON Horizon2020 project, developed AlLoRa protocol and BODOQUE TinyML system, and designed/deployed sensor hardware and edge firmware for environmental monitoring.

TinyML MicroPython Docker Edge Data Pipelines Sensor Integration

Visiting Researcher

Stellenbosch University Media Lab

Nov 2024 - Dec 2024 (1 month)

Refined the AlLoRa Application Server, improved protocol documentation, and presented IoT and TinyML integration findings at IEEE Globecom during a short-term research secondment.

IoT TinyML Protocols Field Testing GitHub

Visiting Researcher

ICTP

May 2024 - Aug 2024 (3 months)

Enhanced AlLoRa with TinyML capabilities, conducted extensive field testing achieving up to 100 km range, and researched TinyML retraining methods to improve energy efficiency for environmental monitoring.

TinyML Field Testing Data Collection

R&D Automation Engineer

Crystal Lagoons

Mar 2020 - Nov 2021 (1 year 8 months)

Automated a cleaning cart for artificial lagoons using IoT, GPS-RTK, and LoRa, integrated a Python-based digital twin for path planning, and prototyped AR applications while leading R&D documentation efforts.

Python LoRAs IoT Digital Twin Applications Prototyping Notion

CEO & Co-Founder

ParkHere

Mar 2016 - Apr 2018 (2 years 1 month)

Founded and led development of a parking detection system using computer vision on Raspberry Pi, secured innovation funding, and managed multidisciplinary teams across hardware, software, and business strategy.

Computer Vision Raspberry Pi Embedded Systems Product Management Fundraising 3D Printing Team Leadership

Education

Degrees, certifications, and relevant coursework

Universitat Politècnica de València

Doctor of Philosophy, Computer Science

2022 - 2025

Grade: Excellent (Cum Laude)

Activities and societies: Doctoral research, thesis: "Optimizing Machine Learning Algorithm Execution on IoT Infrastructures", research secondments in Italy and South Africa, nominated for Extraordinary Doctorate Prize

PhD in Computer Science focused on optimizing machine learning algorithm execution on IoT infrastructures; included research stays in Italy and South Africa and awarded Cum Laude and International Doctorate mention.

Pontificia Universidad Católica de Chile

Bachelor of Science, Robotics Engineering

2014 - 2019

Activities and societies: Capstone: exoskeleton for ALS patients; coursework in robotic systems design, artificial intelligence, pattern recognition, advanced Python programming

Bachelor of Science in Engineering with major in Robotics Engineering and minor in Automation and Computational Intelligence; capstone project designing an exoskeleton for ALS patients integrating EMG sensors and machine learning.