Alessandro Lamberti - Assistant Manager, AI Engineering

About

Machine Learning Engineer and AI Architect specialized in designing scalable production systems.

Track record of leading end-to-end projects in Computer Vision, Generative AI, and distributed architectures.

Experienced in coordinating technical teams and mentoring, with a passion for translating complex business challenges into robust, efficient, and high-impact AI solutions. I also write The Caffeinated Engineer on applied AI engineering.

Assistant Manager - AI Engineering | ML Architecture

City: Dubai, UAE

I currently have 5+ years of experience designing and deploying production AI systems.

I design secure and scalable architectures for ML and LLM workflows, including RAG pipelines and agentic frameworks integrated with enterprise systems. My toolkit includes Python, GCP, AWS, Docker, PyTorch, TensorFlow, ROS2, and modern GenAI tooling.

Across consulting and enterprise environments, I lead end-to-end delivery from rapid prototypes to production operations, aligning technical decisions with business outcomes, security, and reliability.

Resume

Education

Degree in Telecommunications Engineering

2024

La Sapienza - Rome, Italy

Relevant coursework:
Multi-variables calculus, Geometry and Linear algebra, Physics, Computer Science, Electromagnetic fields. Graphs theory, Mathematical methods for information engineering. Signals and data transmission, Internet and Networking, GPS and radar localization.

Thesis: "Edge Learning in 6G networks: the impact of Split Learning on Edge Computing"

Skills & Personal Development

Languages

Python, Golang, SQL, C++, MATLAB

ML stack

Pytorch, Tensorflow/Keras, Scikit-learn, OpenCV, Transformers, SciPy, TensorRT, ONNX, LLMs, RAG, Agentic Frameworks

Software engineering stack

Docker, AWS, Google Cloud, FastAPI, Flask, ROS2, Git

Certifications

Google Cloud Certified - Professional Cloud Architect
Google Cloud Certified - Professional Cloud Machine Learning Engineer

MOOCs

Deep Learning, MLOps, Tensorflow specializations (Coursera)

Professional Experience

Assistant Manager - AI Engineering

2026 - Present

PureHealth, Dubai, UAE

Leading the technical evaluation and integration of enterprise AI solutions, guiding projects from rapid prototyping to full-scale production.
Architecting robust data pipelines and secure, scalable infrastructure for machine learning and LLM workflows, including RAG and multi-agent systems.
Bridging advanced AI models with core enterprise systems to ensure seamless, secure, and efficient operations.

Advanced Machine Learning Engineer

2022 - 2026

NTT DATA Italia S.p.A, Rome, Italy

Engineered a strategic Google Cloud video processing pipeline for sports footage analysis, achieving 40-70% storage cost optimization through ML-driven intelligent content filtering and scene extraction.
Led the end-to-end design of distributed microservices frameworks for real-time video analysis and autonomous robotics (ROS 2), optimizing ingestion and model deployment for resource-constrained edge devices.
Managed the full development and deployment lifecycle of production-grade Generative AI applications (Diffusion models), ensuring reliability and scalability for thousands of users at global events like Dreamforce 2024.

Machine Learning Engineer

2021 - 2022

IPS Intelligence S.p.A, Aprilia, Italy

Engineered a high-performance facial recognition and analysis system using Transformer architectures. I implemented weight quantization techniques to optimize inference performance and deployed the system as scalable microservices with REST APIs, enabling real-time demographic attribute detection.
Built an end-to-end pipeline for Synthetic Aperture Radar (SAR) imagery analysis, integrating deep learning models for vessel tracking and behavioral anomaly detection to provide critical maritime intelligence.

Computer Vision Developer

2021

C.Ser.Mac AI laboratory, Latina, Italy

Implemented end-to-end Deep Learning vision systems for automated fruit quality assessment and real-time security monitoring using object detection, tracking and segmentation algorithms