AI & MACHINE LEARNING
PythonTensorFlowPyTorchKerasLSTMComputer VisionNLPTransfer Learning
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AI & Machine Learning Engineer
EDISON SANTILLÁN
10+ years building intelligent systems that bridge electronics with artificial intelligence — from neural networks to real-time prediction algorithms.
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ABOUT ME
OPEN TO OPPORTUNITIES
Electronics & Automation Engineer specialized in Artificial Intelligence and Machine Learning. I started out as an electronics and control engineer focused on process systems — then I grew passionate about software, and I've been developing and growing ever since, designing intelligent systems end to end: from neural networks to real-time prediction algorithms running on real hardware.
"I believe in the power of teamwork — tackling complex challenges alongside talented colleagues, where each contributes their expertise to create solutions that exceed what we could achieve individually."
When I'm not building models, I mentor developers, join hackathons, and contribute to projects advancing AI and intelligent automation.
Based inNew York
FocusAI · ML · Robotics
Experience10+ years
LanguagesEnglish · Spanish
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PROFESSIONAL JOURNEY
ML Engineer & Co-founder
⬡ DIARTECH SOLUTIONS
MAY 2019 – APR 2025
Led development of ML pipelines, neural networks for computer vision and time-series forecasting, smart home systems and real-time IoT inference systems.
AI Research Scientist
⬡ NATIONAL POLYTECHNIC SCHOOL
FEB – JUL 2023
Distributed consensus algorithms research. Designed neural network predictors for convergence and stability estimation in multi-agent systems.
Control Systems Technician
⬡ DIARTECH SOLUTIONS
JUL 2023 – APR 2025
Smart home and industrial automation systems. Led multidisciplinary teams for IoT integration and delivered technical training programs.
Electronics Developer
⬡ BLIMER S.A.S
OCT 2020 – JAN 2021
Electronic prototypes for automotive security — PCB design, ATmega128P in C, 2.4GHz RF wireless communication.
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TECHNICAL SKILLS
DATA SCIENCE
PandasNumPyscikit-learnTime SeriesFeature EngineeringStatistical Analysis
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ELECTRONICS & IoT
PCB DesignC / C++ArduinoRaspberry PiSTM32ATmegaRF Comms
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ROBOTICS & AUTOMATION
ROSPLCSCADAControl SystemsPath PlanningGazeboSensor Fusion
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CLOUD & DEPLOYMENT
AzureDigitalOceanDockerFastAPIFlaskCI/CDLinux
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RESEARCH
IFAC 2024 · PEER REVIEWED
Sliding Mode Control Approach for H₂ Purity Regulation in High-Pressure Alkaline Electrolyzers
Camacho O., Santillán E., Uribe J., & Ocampo C. · (2024)
4th IFAC Conference on Advances in PID Control · Almeria, Spain · June 12–14, 2024
Innovative sliding mode control strategies for hydrogen purity regulation in high-pressure alkaline electrolyzers — advancing sustainable energy and industrial process control in the renewable sector.
VIEW PUBLICATIONTurning data & signals into systems that think, predict and act.
From neural networks to real-time hardware
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FEATURED PROJECTS
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Deep Learning · Renewable Energy
WIND SPEED PREDICTION
LSTM neural network for wind speed & direction at Minas de Huascachaca Wind Farm (14 turbines), optimizing renewable energy decisions.
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Robotics · Motion Planning
MULTI-AGENT PATH PLANNING
RRT & RMP algorithms for multi-agent navigation in ROS-Gazebo with collision-free trajectory optimization and Rviz visualization.
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Cloud · VoIP & Networking
CLOUD EMERGENCY SYSTEM
Cloud-based emergency alert on DigitalOcean + ISSABEL PBX — remote activation via Zoiper for real-time community safety.
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GET IN TOUCH
Have an interesting project? Let's talk about how we can apply AI, machine learning, or automation to your next challenge.