Summary
Overview
Work History
Education
Skills
Additional Information
Certification
Languages
Hobbies
Timeline
Salvatore Radio

Salvatore Radio

Scafati

Summary

Experienced in developing and implementing effective software solutions, skilled in resolving intricate technical challenges and improving system performance. Proficient in following coding guidelines and promoting teamwork in collaborative development settings, leading to successful project completion.

Overview

3
3
years of professional experience
2
2
Certification

Work History

Solution Developer – Backend Technical Leader

GRIDSPERTISE S.R.L. – ENEL GROUP
Naples
01.2022 - Current
  • Orchestrated a team of 15 experts in completing a 1.2-million-euro project using the SCRUM agile paradigm, resulting in product sales.
  • Adopted Elastic Kubernetes Service to migrate from a monolithic architecture to a scalable platform that connects an Angular frontend with Java microservices and Data Domains. This transition achieved a 50% increase in performance, a 40% improvement in agility, and a 25% enhancement in customer satisfaction metrics.
  • Implemented cloud migration strategies for a proprietary computer vision and 3D modeling engine, harnessing AWS (Step Functions, Lambda, SageMaker). Migrating from ActiveMQ to AWS Lambda saved a considerable 10% on machine costs and avoided the need for complete pipeline restarts in the event of a breakdown.
  • Delivered a successful proof-of-concept leveraging Keda to optimize Kubernetes containers, implementing a scale-to-zero policy with Kafka triggers, achieving significant cost savings of approximately 80% in non-production environments.
  • Reverse-engineered a complex three-year-old project, systematically identifying and resolving 15 critical bugs; this effort ensured a successful product release that respected and exceeded customer expectations within tight deadlines.
  • Reduced transformer downtime by 15% through real-time alerts on a Grafana dashboard displaying key energy metrics (current, voltage, and temperature) for 1000+ devices using Rust programming language and RedPanda triggers.
  • Worked with/on internal Developer Platform based on Backstage, OpenShift GitOps, and DAPR to implement proprietary modular architecture that allows Rust and Go developers to manage the application lifecycle, enhancing code compatibility by 80% and productivity by 50%.
  • Spearheaded a proof-of-concept for edge device maintenance using Temporal, automating with a Go microservice triggered by RedPanda broker disconnection events, boosting maintenance agility by 70% and communication speed by 45%.

Autonomous Vehicle - Intern

UNIVERSITY OF SALERNO
Fisciano
05.2021 - 11.2021
  • Designed and developed a 3D Object Detection experimental thesis in the autonomous driving field.
  • Evaluated and compared various Object Detection models and frameworks through an extensive literature analysis; translated findings into the strategic adoption of the PV-RCNN model based on the OpenPCDet framework, resulting in a 10% improvement in object detection performance and a 25% reduction in inference time.
  • Authored a virtual city environment on CARLA simulator, equipped an ego-vehicle with a Lidar sensor to obtain point clouds at least 85% similar to reality ones; simulated predefined numbers of NPS vehicles and pedestrians, enabling realistic testing of autonomous driving algorithms.
  • Integrated the detector on the client side of the simulator to obtain the point clouds and perform the 3D Object Detection in real time.

Computer Vision - Intern

A.I. TECH
Penta
09.2018 - 12.2018
  • Engineered and executed a computer vision solution using deep learning techniques, enabling real-time detection of anomalous situations on a package transporter, resulting in a 40% reduction in package mishandling incidents and a 20% increase in operational efficiency.
  • Achieved artificial image creation and manipulation to fine-tune the last 10% of layers of a YOLOv3 detector.
  • Carried out experiments with different levels of object occlusion, resulting in perfect accuracy in the case of no occlusion and 75% accuracy for objects with an Intersection over Union occlusion area between 25% and 50%.

Education

Master of Engineering - Artificial Intelligence

UNIVERSITY OF SALERNO, Fisciano, Italy
11-2021

Thesis Statement: 3D Detection Algorithm based on LIDAR Sensors for Autonomous Vehicle Driving Applications.

Bachelor of Engineering - Computer Vision

UNIVERSITY OF SALERNO, Fisciano, Italy
03-2019

Thesis Statement: Design and implementation of an artificial vision system based on Deep Learning for the detection of anomalous conditions on a conveyor belt.

Skills

  • Stress Resilience
  • Effective Planning
  • Time Optimization
  • Nodejs
  • Rust
  • Go
  • Kafka
  • Python
  • Deep Learning
  • DevOps practices
  • System design
  • API integration

Additional Information

Nunziatella Military School: high school diploma in the oldest military school in Europe

Certification

  • edX x ETH– Verified Certificate for Self-Driving Cars with Duckietown
    Valid certificate id: 3f877cc5372549b2b389b8dd1fa92174
  • Nvidia – Building LLM Application with Prompt Engineering
    Valid certificate id: ebhWVgkORXa6rwDCJKVmuw

Languages

English
Advanced (C1)

Hobbies

Volleyball, Skiing, Piano, Videogames

Timeline

Solution Developer – Backend Technical Leader - GRIDSPERTISE S.R.L. – ENEL GROUP
01.2022 - Current
Autonomous Vehicle - Intern - UNIVERSITY OF SALERNO
05.2021 - 11.2021
Computer Vision - Intern - A.I. TECH
09.2018 - 12.2018
UNIVERSITY OF SALERNO - Master of Engineering, Artificial Intelligence
UNIVERSITY OF SALERNO - Bachelor of Engineering, Computer Vision

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