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
Master's degree in Engineering for Computer Science
Ongoing
La Sapienza - Rome, Italy
Relevant coursework:
Distributed systems, software engineering, deep learning, computer vision, data management, IoT
algorithms and protocols.
Bachelor's 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 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 and Dreamforce 2024
- Developed real-time computer vision algorithms for quadruped robot inspection, implementing object detection and anomaly detection optimized for edge deployment
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
Portfolio
A collection of personal projects and blog posts. To see more from my blog, visit medium.com/@alessandro-ml.
- Projects
- Blog
Get in touch
Location:
Aprilia (LT), Italy, 04011
Email:
alessandro.lamberti98@gmail.com