Samantha Guerriero
Verified Expert in Engineering
Machine Learning Engineer and Developer
London, United Kingdom
Toptal member since April 12, 2021
With over 20 data science and AI projects delivered for startups, enterprises, and academia, Sam offers a unique expertise blend as a senior AI consultant skilled in both hands-on engineering work and leadership roles with a special focus on team leading, project management, and thought leadership. By exploring the AI field from diverse perspectives and through varied projects, Sam is interested and committed to developing AI initiatives where growth, impact, and kindness are all at the center.
Portfolio
Experience
- Computer Vision - 8 years
- Consulting - 7 years
- Keras - 7 years
- Google Cloud Platform (GCP) - 7 years
- Machine Learning Automation - 4 years
- Content Writing - 3 years
- Generative Artificial Intelligence (GenAI) - 1 year
- Online Course Development - 1 year
Work Experience
AI Consultant / ML Engineer
Freelance Clients
- Delivered >10 AI projects within specified timelines and budgets with measurable impact on increased efficiency, customer acquisition, and cost savings.
- Maintained successful long-term relationships with a client retention rate of 50%.
- Participated in webinars and meet-ups as an AI SME consulting for startups and small businesses.
- Experienced the AI field from varied angles by contributing to technical, marketing, and educational projects as an individual contributor, project manager, advisor, and thought leader.
Senior Machine Learning (MLOps) Engineer
Checkout.com
- Ideated and developed the automated retraining pipeline for the fraud engine model in Airflow.
- Designed and set up an internal package for machine learning, MLOps, and data functionalities.
- Introduced a new set of best practices for data, code, and model testing, leading to increased coverage by 50%.
- Consulted periodically with the data science team on optimization for the current model pipeline.
- Refactored multiple components of the deployment pipeline—from the feature engineering module to API service—which heavily reduced maintenance and running costs.
Senior Machine Learning Engineer | Acting Head of AI Automation
Datatonic
- Consulted, designed, and delivered DS, ML, and MLOps projects from PoC to production-ready systems with 100 NPS for clients like Realeyes, BT, Vodafone, and Lush.
- Managed junior team members to set and achieve OKRs, fostering a proactive attitude towards achieving what they enjoy and want to learn.
- Established the AI automation practice with the head of ML, from offerings and client profiles to strategic and marketing collateral for the internal team, clients, and stakeholders.
- Cultivated and expanded the technical partnership with Intel through multiple R&D projects, resulting in research pieces with thousands of views online.
- Initiated, coordinated, and participated in internal initiatives for the team, including all-hands days, Niko-Niko calendar, hiring, surveys, and OKR sessions.
- Provided AI thought leadership pieces, white papers, talks, and training to practitioners and global leaders on best practices for AI on Google Cloud.
Machine Learning Researcher
University of Amsterdam
- Designed the first deep version of NCM in literature, previously considered an impossible task by the community, and further enhanced the classifier with incremental learning and open-set learning techniques.
- Obtained state-of-the-art accuracy for the NCM and Deep NCM algorithms in multiple scenarios.
- Performed extensive analysis of state-of-the-art solutions and literature, further progressed by discussions in reading groups beside Ph.D. students.
- Attended weekly meetings to present deliverables and propose new directions of work.
- Gathered extensive experience in creating custom models in TensorFlow using graph mode and in Theano, following best practices in the design and finetuning of experiments.
Machine Learning Intern
WonderFlow
- Researched and built a tailored method for automatic polarity tagging of sentences developed in RapidMiner.
- Guided Wonderflow with the continuance of revenue generating by proposing tailor-built solutions and promoting the business’ technical advancement to investors alongside the founders of the company.
- Researched and analysed competitors’ techniques and proposed improvements.
- Reduced the business’ costs by 0.7€/review and optimized the business’ performance by 30 seconds/review, by conceptualizing and developing a new automatic mechanism for the business workflow.
- Attended events alongside the founders and built relationships with other potential new business partners.
Experience
MLOps Pipeline Automation with Kubeflow
Predictive Analytics for Brand Purchase Propensity
Object Detection for Automated News Article Retrieval
Content Writer in Data and AI
Advisory for Data Science Platform Migration
Matching Solution for Hiring Platform
Recommender System for an Online Retail Platform
Cloud SQL to BigQuery Migration Pipeline
Education
Master's Degree in AI & Robotics
Sapienza - Rome, Italy
Bachelor's Degree in Information Technology
RomaTre - Rome, Italy
Certifications
Machine Learning Engineering for Production (MLOps)
DeepLearning.AI | via Coursera
Google Cloud Certified Professional Machine Learning Engineer
Google Cloud
Google Cloud Certified Cloud Architect
Google Cloud
Google Cloud Certified Data Engineer
Google Cloud
Cambridge English: Proficiency (CPE)
University of Cambridge
Skills
Libraries/APIs
TensorFlow, Pandas, XGBoost, Scikit-learn, Keras, Google Cloud Video API, Google Cloud API, Dask, PyTorch
Tools
Jupyter, Amazon SageMaker, 2Checkout, ChatGPT, Cloud Dataflow, Google Kubernetes Engine (GKE), BigQuery, TeamCity, Jenkins, Google AI Platform, Azure Machine Learning, Jira, Apache Airflow, Apache, Google Cloud Composer, Apache Beam, AI Prompts
Languages
Python, SQL, Snowflake, JavaScript
Platforms
Google Cloud Platform (GCP), Kubeflow, Linux, Docker, MacOS, RapidMiner, Kubernetes, Amazon Web Services (AWS), Vertex AI, NVIDIA CUDA
Frameworks
Flask
Paradigms
Database Design, Management, Automation, Agile Software Development, DevOps, Agile, Deep & Cross Network (DCN), Instructional Design
Storage
Google Cloud, PostgreSQL, Amazon FSx
Other
Machine Learning, Computer Vision, Consulting, Thought Leadership, Data Science, Content Writing, Artificial Intelligence (AI), Recommendation Systems, Algorithms, Deep Neural Networks (DNNs), Neural Networks, Presales, Sentiment Analysis, Machine Learning Automation, Google Cloud Machine Learning, Object Detection, Deep Learning, Image Processing, Big Data, Technical Writing, Convolutional Neural Networks (CNNs), Optical Character Recognition (OCR), Image Recognition, Writing & Editing, Blogging, AI Democratization, Llama 3, Online Course Development, Natural Language Processing (NLP), Robotics, Statistical Methods, Mathematics, Business Planning, Economics, Recruiting, Propensity Modeling, Research, Web Scraping, System Design, Cloud, Networking, Pub/Sub, Cloud Storage, English, Google Structured Data, Batch Prediction, APIs, Data Build Tool (dbt), Octopus Deploy, Machine Learning Operations (MLOps), Technical Design, Large Language Models (LLMs), Diffusion Models, Generative Adversarial Networks (GANs), Data Collection, Technical Requirements, User Experience Design, Product Roadmaps, AIOps, Advisory, Retrieval-augmented Generation (RAG), Embedding Models, Matrix Factorization, Feature Engineering, Collaborative Filtering, Model Tuning, Data Engineering, Google Cloud Dataflow, Google BigQuery, Prompt Engineering, Gemini, OpenAI, LangChain, Generative Artificial Intelligence (GenAI), Content Strategy, Amazon Bedrock AgentCore, AI Security, AI Ethics, Hardware Selection, Quantization, Neural Network Pruning, Hardawre Configuration, Curriculum Design, AI Education, Agentic AI
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