AI Engineer | Embedded Systems Expert | Computer Vision Specialist

Email: davidalami@gmail.com
Location: Greater Madrid Metropolitan Area
LinkedIn: David Alami, PhD

About Me

As an AI Engineer with a PhD in Technical Sciences, I specialize in embedding intelligence into systems through computer vision and machine learning. With over 10 years of R&D experience and 5+ years in commercial software development, I’ve led and contributed to innovative AI-driven projects across industries, from aerospace to autonomous systems.

My work focuses on applying cutting-edge AI models to solve real-world problems, particularly in embedded systems and computer vision. I am passionate about using AI to enhance edge computing and create solutions that operate efficiently in constrained environments.

Core Expertise

  • Embedded Systems & AI Integration: Building advanced AI models for low-power, embedded devices.
  • Computer Vision: Extensive experience in deploying machine learning algorithms for image processing and object recognition.
  • Edge Computing: Specializing in computer vision applications on edge devices, improving real-time processing.
  • Open-Source Contributions: Actively contributing to open-source AI and ML toolkits.
  • AI Model Deployment & Scalability: Skilled in Python, AWS, GCP, and MLOps for seamless AI model integration.
  • Machine Learning Competitions: Proven track record in Kaggle competitions, excelling in challenges such as fraud detection and keyword spotting.

Professional Experience

AI Engineer | NDA

May 2024 – Present | Madrid, Spain
Leading AI development for autonomous aerospace systems, focusing on real-time computer vision and decision-making in edge environments.

Senior AI/Python Engineer | Deel

July 2023 – April 2024 | San Francisco, CA (Remote)
Spearheaded AI initiatives, including data preparation and deployment on AWS.

AI Team Lead | Powow AI

April 2021 – July 2023 | New York, US (Remote)
Delivered AI solutions for SaaS, implementing NLP and machine learning models.

AI Tech Lead | BRAIN (Blockchain and AI Startup)

May 2020 – April 2021 | Germany (Remote)
Developed AI-driven tools for chatbot management, NLP, and neural networks.

Education

PhD, Technical Sciences | National Technical University “Kharkiv Polytechnic Institute”
2010 – 2013
Thesis: Application of Artificial Neural Networks for Catalyst Development

Publications

  • Neural Network Prediction of the Formation Enthalpy of Mixed Oxides - Published in Computational Intelligence, May 2013
  • Optimization of MnCeOx Catalyst Using Neural Networks - Published in Information Technologies, Jan 2011

Certifications

  • Autonomous Aerospace Systems – Università degli Studi di Napoli Federico II
  • C Programming with Linux Specialization – Dartmouth College
  • Embedded Systems and Mathematical Modeling – Issued Aug 2024

Skills

  • C Programming
  • Embedded Systems
  • Python
  • PyTorch
  • Computer Vision
  • Machine Learning

Languages

  • English – Professional Proficiency
  • Spanish – Limited Working Proficiency

Honors & Awards

  • 9th Place in NLP Agricultural Keyword Spotter ML Competition (2020)
  • Silver Medal in IEEE-CIS Fraud Detection Challenge (2019)

Contact

I am open to new opportunities and collaboration in the fields of AI, computer vision, and embedded systems. Feel free to reach out!