Available · Software Engineer @ Reply

Leonardo Maria
Carrozzo

Building

  • Distributed Systems
  • Observability
  • Event-Driven Architecture
  • Backend Engineering
  • Distributed Systems

I build backend systems and interfaces that stay clear under pressure — Go, Python, and distributed systems.

Leonardo Maria Carrozzo
01 Intro

About

Hey! I'm Leonardo Maria Carrozzo, and I currently work as a Software Engineer at Reply, building interfaces and systems that stay clear under pressure. I have a background in Computer Science and a passion for learning, teaching, and building things that are both useful and a pleasure to use.

02 Career

Work Experience

  1. Reply

    Apr. 2025 — Present

    Software Engineer

    • 300+ pts/sec
    • 8+ KPIs streamed
    • 70% faster response
    • Built a high-throughput adapter for Viavi TeraVM, ingesting 300+ datapoints/sec from InfluxDB to OpenTelemetry via HTTP exporters.
    • Developed a RAN simulation microservice, streaming 8+ KPIs to Kafka to cut incident response times by 70%.

  2. Capgemini

    Feb. 2025 — Apr. 2025

    Software Engineer

    • 1,000× throughput
    • 1,200 msgs/sec
    • zero message loss
    • Boosted throughput 1,000x (3 to 3,500 docs/sec) by replacing blocking 𝒪(𝑛²) algorithms with optimized MongoDB aggregation pipelines.
    • Scaled data ingestion to 1,200 messages/sec by developing Go-based Kafka services with asynchronous bulk-writes.
    • Eliminated message loss across distributed pipelines by implementing Dead Letter Queues (DLQs) for automated error recovery.

  3. Volt Scripts

    Apr. 2021 — Nov. 2023

    Software Engineer — Co-Founder

    • €500K user profits
    • 4,000+ checkouts
    • 12× faster checkout
    • Built automation software integrating 5 APIs, facilitating 4,000+ checkouts and generating €500,000 in user profits.
    • Reduced ticket response times by 9x by leading a team of 5 moderators and optimizing support workflows.
    • Slashed average checkout times by 12x for 300+ users by replacing manual processes with automated tools.
03 Background

Education

  1. Sapienza — Università di Roma MSc in Engineering in Computer Science 110/110L (Summa cum laude)
    Jan. 2025
  2. Alma Mater Studiorum — Università di Bologna BSc in Electronic Engineering
    Dec. 2022
04 Toolkit

Skills

  • Go
  • Python
  • Java
  • JavaScript
  • SQL
  • Kafka
  • Kubernetes
  • Docker
  • gRPC
  • Microservices
  • REST APIs
  • MongoDB
  • PostgreSQL
  • InfluxDB
  • OpenTelemetry
  • SigNoz
  • Prometheus
  • Quarkus
  • Flask
  • React
  • Node.js
  • TensorFlow
  • PG Vector
  • PostGIS
  • Git
  • Linux
  • Semantic Search
  • Recommender Systems
  • Design Patterns
  • System Design
  • Event-Driven Architecture
  • Observability
  • Distributed Systems
  • DevOps
05 Off the clock

I like to learn, teach and build in my free time

06 Say hello

Get in Touch

Want to chat? Send me a message and I'll respond whenever I can.