Machine Learning · Generative AI · Agentic AI

I build intelligent
systems end-to-end.

Computer engineer and M.Sc. candidate in Artificial Intelligence at Politecnico di Torino. I build data pipelines, fine-tune LLMs, and orchestrate agents — from prototype to production.

Download CV ↓ View projects →
Joining as Machine Learning Engineer AI Delivery Center · Starting Sep 2026
Portrait of Marc'Antonio Lopez — Machine Learning Engineer
About

Machine Learning engineer with a product mindset.

My path began in Enna, at the University of Enna Kore, where I read Computer Engineering and graduated 110/110 cum laude. Those years laid my first real foundations in machine learning and dynamic gesture recognition — the work that first connected code to human movement. It also started the human-computer interaction thread I keep pulling on today: how a system reads a gesture, and where the model stops being a black box.

In 2024 I moved north to Turin for a Master's in AI & Data Analytics at the Politecnico di Torino. Since then I have researched large language models, hybrid retrieval and medical-vision explainability — concept-bottleneck and sparse-autoencoder work that asks why a model predicts, not just what — and written my thesis on production GenAI as an intern at Data Reply.

From September 2026 I take the next step: joining Intesa Sanpaolo's AI Delivery Center as a Machine Learning Engineer. It is where the foundations I have been building — machine learning, generative AI and agentic AI — meet real scale, real data and real decisions, end-to-end from architecture to deployment on platforms like Databricks.

Experience

From research to ML engineering.

Industry, academic honors, and applied research.

Sep 2026 — IncomingIntesa Sanpaolo — AI Delivery Center

Machine Learning Engineer Incoming

Italy · Full-time
  • Design, develop, ship, and maintain Machine Learning, Generative AI, and Agentic AI solutions end-to-end — from architecture and data pipelines to production deployment and optimization.
  • Champion AI-assisted coding and AgenticOps across teams, building cross-cutting AI services on data & AI platforms such as Databricks.
Machine LearningGenerative AIAgentic AIDatabricksAgenticOps
Feb 2026 — PresentData Reply

Graduate Thesis Intern

Turin, Italy · Hybrid
  • Design production-oriented Generative AI for metadata management and semantic discovery — Foundation Models meet Data Engineering.
  • Architect scalable AI workflows (LLM reasoning + backend) from prototype toward deployment.
Generative AIData EngineeringFoundation ModelsServerless
Oct 2024 — Jun 2025IEEE-Eta Kappa Nu — Mu Nu Chapter

HR & Outreach Member

Turin, Italy · Volunteer
  • Recruitment and member engagement for the IEEE-HKN electrical & computer engineering honor society.
  • Organized technical events and workshops; promoted IEEE standards and professional development.
OutreachIEEEEvents
Feb 2024 — Jun 2024University of Enna "Kore"

Research Trainee in AI

Enna, Italy · On-site
  • Built ML pipelines for dynamic gesture recognition on Leap Motion time-series data.
  • Statistical feature analysis; contributed to the DYLEM-GRID dataset (400 samples, 100 participants).
AI ResearchComputer VisionHCI
Skills

A production AI stack.

From data to agent — a toolkit for reliable systems.

Generative AI & LLM
TransformersHugging FaceRAGPrompt EngineeringFine-TuningPEFT / LoRAQuantization
AI Agents
LangChainLangGraphSelf-Corrective RAGOrchestration
Machine Learning & Data
PyTorchScikit-LearnNumPyPandasData PipelinesModel Evaluation
Retrieval
EmbeddingsRerankingHybrid RetrievalParent-Child Chunking
MLOps & Deployment
DockerWeights & BiasesGitGitHub
Languages & AI Dev
PythonSQLClaude CodeCopilot
Big Data
HadoopPySparkacademic exposure
Spoken Languages
Italian — NativeEnglish — C1 Advanced
Cross-functional
Problem solvingTechnical communicationTeamworkAI-assisted dev
Selected Projects

Applied research, real systems.

From reliable retrieval to healthcare explainability.

Self-Corrective
Multi-Turn RAG

2026
SemEval 2026 — Task 8

Self-Corrective RAG with LangGraph for grounded answers across multi-turn dialogues. Hybrid retrieval (Parent-Child chunking, BGE-M3 embeddings, Cross-Encoder reranking) plus 4-bit NF4 quantization of Llama 3.1 8B for offline inference on consumer hardware.

PythonLangGraphLlama 3.1RAG
Code on GitHub →

SM-SIP
Multilingual Summarization

2026
Abstractive Summarization · IT/EN

Controllable abstractive summarization with semantic supervision. Multilingual (IT/EN) pipeline integrating Llama and Qwen with token-classification modules to detect and mitigate hallucinations. LoRA adapters (PEFT) published on the Hugging Face Hub.

PythonLLMsHugging FacePEFT
Code on GitHub →

Explainable AI
Concept Discovery

2026
Medical Vision-Language Models

Unsupervised concept discovery in medical VLMs via Sparse Autoencoders. A concept-naming module paired with an LLM-as-a-judge system to quantify concept faithfulness.

PythonSparse AutoencodersLLM-as-a-Judge
Code on GitHub →

DYLEM-GRID
Gesture Recognition

2024
Dataset: 400 gestures · 100 participants

BiLSTM with attention and an encoder-only Transformer (PyTorch) for dynamic hand-gesture classification. Optimized high-dimensional feature extraction on the DYLEM-GRID dataset, also published on Kaggle.

PyTorchLSTMAttentionTransformers
Code on GitHub →
Education

Academic background.

M.Sc. in Artificial Intelligence & Data Analytics

Politecnico di Torino · Sep 2024 — Sep 2026
Expected110/110
Thesis: "Generative AI and Foundation Models for Automated Data Engineering and Metadata Orchestration"

B.Sc. in Computer Engineering

University of Enna "Kore" · Oct 2021 — Jul 2024
Grade110/110 cum laude
Thesis: "Recurrent Neural Networks for Dynamic Gesture Recognition"
2025
IEEE Graduate Student Member
World's largest tech professional association.
2025
DYLEM-GRID — Kaggle Dataset
400 dynamic gestures · 100 participants.
2024
Cambridge English C1 Advanced
CEFR C1 in technical and professional English.
2024
Publication — Home Automation System
SUAI Bulletin, UNESCO Chair "Distance Education in Engineering".
Contact

Let's work
together.

From September I join Intesa Sanpaolo's AI Delivery Center as a Machine Learning Engineer. Still happy to connect and talk shop — quick reply via email.

Email me → Download CV ↓
Emailmarcantonio.lopez@ieee.org Phone+39 375 574 2433 LinkedIn/in/marc-antonio-lopez GitHub/LookUpMark Kaggle/marcantoniolopez