whoami

Mario
Avolio

AI Engineer Machine Learning Reply · Milan

Specializing in Generative AI, Agentic Workflows, and Computer Vision.

I build autonomous, production-ready AI systems — connecting LLM orchestration with research in super-resolution and model optimization.

profile.json — mario-avolio
{ "role": "AI Engineer", "company": "Machine Learning Reply", "location": "Milan, Italy", "focus": "GenAI · CV · Agentic AI", "available": true }

What I do

From research prototypes to production-grade autonomous systems.

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Primary Domain
Generative AI & Agentic AI
LLMs RAG Systems Tool-Using Agents Prompt Engineering Fine-tuning
👁
Research Focus
Computer Vision
Super-Resolution Object Detection Model Optimization Pruning & Quantization
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Infrastructure
Cloud & MLOps
AWS Google Cloud Azure Docker Model Deployment

How I got here

From computer science foundations to applied AI engineering — through academic research and published work.

Education Sep 2018 — Sep 2021

BSc in Computer Science

University of Calabria

Foundation in algorithms, software engineering, and formal methods. Thesis work at the intersection of computer vision, declarative reasoning, and robotic control.

Algorithms Software Engineering Knowledge Representation
Publication Published 2023

From Vision to Execution: Hybrid Intelligent Robots Playing Mobile Games

KR 2023 — 20th Intl. Conference on Principles of Knowledge Representation and Reasoning

Presented a delta robot playing smartphone games via computer vision, Answer Set Programming, and motor control — bridging perception and symbolic logic.

Read paper at proceedings.kr.org
Computer Vision Answer Set Programming Hybrid AI Robotics
Education Sep 2021 — Mar 2024

MSc in Computer Science

University of Milano-Bicocca

Specialized in machine learning, deep learning, and computer vision. Thesis on self-supervised learning and model adaptation for facial attribute classification using DINOv2, LoRA, and PEViT.

Deep Learning Computer Vision Self-Supervised Learning Model Adaptation Facial Attribute Classification
Research Jan 2025 — Dec 2025

Research Fellow — Imaging & Vision Laboratory

University of Milano-Bicocca

Applied research on synthetic dataset generation, image super-resolution, and sonar-based underwater mine detection.

Super-Resolution Synthetic Data Object Detection Sonar Imaging
Publication 2025

Large-Scale Synthetic Side-Scan Sonar Dataset Generation and Super-Resolution Enhancement for Underwater Mine Detection

Springer — International Conference Proceedings

Pipeline combining synthetic sonar data generation with super-resolution enhancement for underwater mine detection with limited real-world samples.

Read paper on Springer
Super-Resolution Synthetic Dataset Underwater Detection Deep Learning
Work Jan 2026 — Present

Machine Learning Engineer

Machine Learning Reply · Milan

Building agentic workflows, RAG pipelines, and LLM-powered automation at enterprise scale. Deploying generative AI solutions across cloud infrastructure.

LLMs Agentic AI RAG Systems Production ML Cloud