Alessandro Lamberti - Machine Learning Engineer

About

I'm a Machine Learning and Computer Vision Engineer, with a background in Telecommunication engineering.

Being a curious guy, I do my best every week to learn something new and to keep myself up to speed with the latest news and technologies.

On a more personal note, I like talking to people, writing blog articles, exercising, and being with family and friends.

Machine Learning & Computer Vision Engineer

City: Rome, Italy

I currently have 3+ years of experience working as a Machine Learning Engineer.

I have a track record of building and deploying machine learning systems, focusing on both computer vision and natural language processing. My toolkit is rich with industry-standard technologies, including Python, GCP, AWS, Docker, PyTorch, and TensorFlow, which I use to write clean, maintainable code that's ready for production environments.

Throughout my career, I have taken machine learning projects from the drawing board to full-scale operation. My role often spans the entire project lifecycle—defining goals, implementing strategies, and leading the transition from development to production.

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

Software engineering stack

Docker, AWS, Google Cloud, FastAPI, Flask, 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

Advanced Machine Learning Engineer

2022 - Present

Promoted to Advanced Machine Learning Engineer (Sept. 2024)

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

Designed and implemented a distributed, microservices-based real-time video analysis framework with multi-source ingestion, AI-powered frame processing, asynchronous task execution using asyncio and worker pools, real-time metric aggregation, and a modular, queue-driven streaming pipeline
Developed real-time computer vision algorithms for both quadruped robot inspection and drone-based video analysis; implemented object detection and anomaly detection optimized for edge deployment, utilizing microservices architecture and pub/sub model for real-time processing of multiple video feeds
Designed and implemented a Google Cloud video processing pipeline leveraging computer vision for sports footage analysis, achieving 40-70% storage optimization through intelligent scene extraction and custom ML-based content filtering
Architected and developed a production-grade GenAI photobooth leveraging diffusion models for text-guided image transformation, deployed at major international events including BMW Open, Dreamforce 2024 and Mobile World Congress

Machine Learning Engineer

2021 - 2022

IPS Intelligence S.p.A, Aprilia, Italy

Engineered high-performance facial recognition and analysis system using transformer architectures and weight quantization, deployed as scalable microservices with REST APIs for demographic attribute detection.
Built SAR (Synthetic Aperture Radar) image processing pipeline with deep learning-based vessel tracking and behavioral anomaly detection for 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