Alessio Sanfratello

Florence, Italy linkedin.com/in/alessiosanfratello github.com/alesanfra

Summary

Senior Software Engineer with 9+ years of experience designing and shipping scalable, high-throughput backend systems and 5+ years applying AI/ML in production. Expert in Python, distributed systems, and cloud-native architectures on AWS. Proven track record of driving measurable business impact — including a 30% reduction in infrastructure costs and a 15% increase in enterprise customer retention at Verizon Connect. Experienced in leading technical initiatives from prototype to production, mentoring engineering teams, and collaborating directly with executive leadership. Holder of 5 patents in AI-powered video analytics and fleet intelligence.

Work Experience

Senior Software Engineer — AI

Verizon Connect | Florence, Italy (Remote) | Oct 2021 – Present

  • Architected and deployed a customer-facing Agentic AI assistant using Strands Agents and AWS AgentCore, enhancing product capabilities and user engagement.
  • Designed and implemented a Blue/Green deployment strategy for a high-traffic video platform processing 20M+ videos/month, achieving zero-downtime releases.
  • Migrated legacy REST APIs to a serverless architecture (API Gateway, Lambda, FastAPI), reducing infrastructure costs by 20% and improving response latency.
  • Won two company-wide hackathons (450+ participants); multiple prototypes shipped to production in collaboration with the CTO.
  • Mentored junior and mid-level engineers, established code review standards, and introduced testing best practices that improved code quality across the team.
  • Engineered a predictive auto-scaling system that reduced virtual machine costs by 30% within 6 weeks.

Software Engineer — AI

Verizon Connect | Florence, Italy (Hybrid) | Apr 2019 – Oct 2021

  • Built the core video analytics pipeline for Reveal Video, processing 20M+ videos per month at scale using Python, AWS Lambda, and Fargate.
  • Led cloud migration from monolithic EC2-based infrastructure to a fully serverless architecture with Lambda, Fargate, and StepFunctions, improving scalability and reliability.
  • Developed a job scheduling application for Reveal Field using C# and implemented CI/CD pipelines to accelerate release cycles.

Software Engineer

Domotz | Pisa, Italy (On-site) | Jan 2017 – Apr 2019

  • Designed and implemented backend microservices using Python, Docker, MySQL, and Cassandra, supporting a cloud-based network monitoring platform.
  • Developed IoT device management features using Node.js, contributing to core product functionality.

Graduate Researcher

University of Pisa | Pisa, Italy (On-site) | Oct 2016 – Jan 2017

  • Conducted research on: “Design, development and evaluation of protocols for wireless networks for the Web of Things”.

Education

M.Sc. in Computer Engineering

University of Pisa, Italy | 2016 | GPA: 110/110 (Summa Cum Laude)

Thesis: Enabling Relay-Based Communication in LoRa Networks for the Internet of Things: Design, Implementation, and Experimental Evaluation.

B.Sc. in Computer Engineering

University of Pisa, Italy | 2013

Thesis: SwimMozzi: Sonifying Swimming Actions with Arduino and Mozzi.

Technical Skills

Languages: Python, SQL, JavaScript, C#, Rust, Go

Python Ecosystem: FastAPI, Pydantic, asyncio, pytest, SQLAlchemy, Tornado, pip, uv, ruff

AI/ML: AWS Bedrock, SageMaker, LangChain, Strands Agents, AWS AgentCore, Prompt Engineering, RAG, LangFuse, LangSmith

Cloud — AWS: Lambda, API Gateway, S3, SNS, SQS, StepFunctions, Fargate, EC2, Redshift

Databases: PostgreSQL, Redis, Elasticsearch, Cassandra, MySQL, DynamoDB

DevOps & Observability: Docker, Kubernetes, CI/CD, Git, GitHub Actions, GitLab CI, LocalStack, Grafana, OpenTelemetry, Octopus Deploy

Architecture & Protocols: Microservices, Event-Driven Architecture, REST APIs, OAuth 2.0, WebSockets, System Design

Methodologies: Agile, Scrum, Kanban, TDD, Code Review, Pair Programming

Tools: Jira, Confluence, Linux/macOS

Languages

  • Italian (native)
  • English (advanced)
  • French (basic)

Patents

  • Systems and Methods for Retrieving Relevant Video Footage Based on a Natural Language Query — Granted, Feb 2026
  • Systems and Methods for Detecting Traffic Signal Violations with Reduced Power — Pending, Oct 2025
  • Systems and Methods for Automatically Detecting Anomalous Driving Patterns in Vehicles — Pending, Jul 2025
  • Systems and Methods for Generating a Video Summary of Video Data — Granted, Apr 2025
  • Systems and Methods for Utilizing Models to Determine Real-Time Estimated Times of Arrival for Scheduled Appointments — Granted, Mar 2024