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.
If I'm interested in something, you might find me writing about it on Medium.
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
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"
MOOCs & Certifications
Cloud Certifications
2024
2023
Coursera & DeepLearning.ai
2020-2022
Relevant coursework:
Skills
Languages
- Python, Golang, SQL, C++, MATLAB
ML stack
- Pytorch, Tensorflow/Keras, JAX, Scikit-learn, OpenCV, Transformers, SciPy, Pandas, Numpy, Matplotlib, Seaborn, Streamlit, NLTK, SpaCy
Software engineering stack
- Docker, AWS, Google Cloud, FastAPI, Flask, Git
Professional Experience
Advanced Machine Learning Engineer
2022 - Present
Promoted to Advanced Machine Learning Engineer (Sept. 2024)
NTT DATA Italia S.p.A, Rome, Italy
- Architected and implemented a Google Cloud-based video processing pipeline, leveraging computer vision and audio analysis to distill petabytes of sports event footage. Developed algorithms to identify and extract the most relevant scenes based on sport-specific criteria, achieving 40-70% storage reduction and resulting in millions of dollars in cost savings.
- Designed and implemented a GenAI photobooth web application that transforms user images based on custom text prompts. The solution leverages advanced deep learning models and diffusion-based algorithms for text-to-image and image-to-image transformations. The webapp was showcased at the 2024 BMW Open in Munich and Dreamforce 2024 in San Francisco.
- Designed and integrated custom computer vision algorithms for a quadruped robot, optimizing for its specific hardware constraints. Implemented real-time object detection, maintenance panel monitoring, and anomaly detection capabilities, expanding the robot's potential for autonomous inspection and predictive maintenance.
Machine Learning Engineer
2021 - 2022
IPS Intelligence S.p.A, Aprilia, Italy
- Engineered a high-accuracy facial recognition and analysis system to discern ethnicity, age, and gender. Leveraged deep learning, transformer-based architectures and weight quantization techniques to ensure high efficiency.
- Developed a SAR (Synthetic Aperture Radar) image processing pipeline for maritime intelligence. Implemented advanced machine learning algorithms for vessel tracking and anomaly detection, facilitating rapid identification of potential threats and unusual vessel behaviors.
Computer Vision Developer
2021
C.Ser.Mac AI laboratory, Latina, Italy
- Developed a real-time monitoring system using object detection for people, animals, and vehicles.
- Implemented a Deep Learning vision system to assess small fruit quality, improving efficiency and accuracy through detection, segmentation and tracking 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