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ALESSANDRO LAMBERTI


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 * Resume
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ALESSANDRO LAMBERTI

I'm a 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.

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


Google Cloud Certified - Professional Cloud Architect


2023


Google Cloud Certified - Professional Cloud Machine Learning Engineer


COURSERA & DEEPLEARNING.AI

2020-2022

Relevant coursework:


Deep Learning Specialization Neural Networks, hyperparameters tuning and
optimization, CNNs, Sequence models. MLOps: Data pipelines, modelling workflows
and data drifts, deployment and monitoring in production environments.
Tensorflow, advanced techniques: custom models, multi-task models, advanced
computer vision, generative deep learning.




SKILLS

LANGUAGES

 * Python, SQL, C++, MATLAB

ML STACK

 * Pytorch, Tensorflow/Keras, Scikit-learn, OpenCV, Transformers, SciPy, Pandas,
   Numpy, Matplotlib, Seaborn, Streamlit, NLTK, SpaCy

SOFTWARE ENGINEERING STACK

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


PROFESSIONAL EXPERIENCE

MACHINE LEARNING ENGINEER

2022 - PRESENT

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

 * Cloud-based storage optimization: Designed and developed a cloud pipeline
   that empowers Computer Vision and audio analysis techniques to distill
   full-day sports event footage, achieving a 40-70% reduction in video storage
   needs, thereby delivering substantial cost efficiencies and enhancing data
   manageability.
 * Enhanced Crowd Monitoring: Developed a crowd analysis project by implementing
   Computer Vision algorithms to analyze camera streams, enabling precise
   estimation of individuals’ age and gender, while also assessing overall crowd
   density. This resulted in enhanced surveillance capabilities and enriched
   data for crowd management strategies.

MACHINE LEARNING ENGINEER

2021 - 2022

IPS Intelligence S.p.A, Aprilia, Italy

 * Innovated Security Solutions: Designed and developed a facial recognition and
   analysis system, discerning ethnicity, age, and gender with high accuracy,
   which significantly strengthened the client’s surveillance infrastructure.
 * Maritime Intelligence Enhancement: Developed and refined a SAR image
   processing pipeline, utilizing advanced Machine Learning algorithms for
   vessel tracking and anomaly identification, significantly boosting maritime
   security by enhancing operational situational awareness and threat detection.

COMPUTER VISION DEVELOPER

2021

C.Ser.Mac AI laboratory, Latina, Italy

 * Quality Control Automation: Created and implemented a Deep Learning-based
   vision system to detect, track, and assess the quality of small fruits,
   achieving a notable improvement in product quality assessment efficiency and
   accuracy
 * Security System Development: Built an Artificial Vision system capable of
   identifying and tracking people, animals, and vehicles, and executing OCR on
   license plates, thereby enhancing security and monitoring capabilities for
   the client.


PORTFOLIO

A collection of personal projects and blog posts. To see more from my blog,
visit medium.com/@alessandro-ml.

 * Projects
 * Blog

Deep Learning Optimization Algorithms
Deep Learning Model Optimization Methods
The Future is Self-Supervised: An Introduction to DINOv2
Building and Deploying CV Models: Lessons Learned From Computer Vision Engineer
Going Deep: An Introduction to Depth Estimation with Fully Convolutional
Residual Networks
From Sound to Sight: Using Vision Transformers for Audio Classification
Joint depth estimation and segmentation
Maximizing Model Performance with Knowledge Distillation in PyTorch
Hydra AI for Image Analysis
Model Compression: an Introduction to Teacher-Student Knowledge Distillation
ViT — VisionTransformer, a Pytorch implementation
Brain MRI segmentation
Audiolytics - audio analysis


GET IN TOUCH

LOCATION:

Aprilia (LT), Italy, 04011

EMAIL:

alessandro.lamberti98@gmail.com

LINKEDIN:

Alessandro Lamberti

GITHUB:

Alessandro Lamberti

© Copyright Alessandro Lamberti