SAC vs. random
70.1%
Improvement over a random baseline in the two-building environment.
Open to Applied AI / ML roles - 2026
AI systems, built to be used.
Applied AI Engineer turning data, research, and language models into useful agents, prediction systems, and intelligent interfaces.
01Proof, not slogans
Measured results from real research work.
Outcomes from custom reinforcement-learning environments for building energy control, with agents benchmarked against a random baseline.
Peak-demand events
219 -> 0
Peak-demand events reduced from 219/720 to 0/720 control steps.
Custom environments
5
Progressively complex CityLearn environments designed for experimentation.
Applied projects
7+
Applied AI and ML projects spanning agents, RAG, analytics, and vision.
02What I build
Three areas where I turn models into working systems.
Focused systems that connect model capability to a real user, workflow, or research question.
AI Agents & RAG
Assistants, retrieval systems, document Q&A tools, and multi-tool workflows that reason over real data.
Data Analysis & Prediction
Dashboards, anomaly detection, forecasting workflows, machine learning pipelines, and intelligent analytics.
Applied AI & RL Research
CityLearn environments, SAC and PPO agents, energy optimization, and research-driven experimentation.
03Featured projects
Systems I've designed, built and shipped.
A selection spanning agents, retrieval, analytics, and computer vision. Source links are included where public.
/ 01Analytics
AI Supply Chain Risk Dashboard
A Streamlit platform for predicting delivery risk, monitoring inventory, detecting anomalies, forecasting demand, and generating AI-assisted management reports.
/ 02Agent
AI Data Analyst Agent
A natural-language data assistant for cleaning datasets, answering questions, recommending charts, detecting anomalies, and training models.
/ 03Agent
Multi-Tool Research Agent
A research assistant that searches the web, arXiv, and Wikipedia, ranks source reliability, stores notes, and exports structured briefs.
/ 04RAG
PDF RAG Assistant
Document question answering with a local Chroma vector store, embedding fallback, and citation-aware answers with file and page references.
/ 05Computer Vision
Facial Emotion Recognition
A CNN-based computer vision project trained on FER2013 to classify facial expressions including happy, sad, and angry.
/ 06Research
Research Navigator
A Streamlit application for discovering and previewing arXiv papers with NLP-powered search and summarization.
04Toolkit
The stack behind the systems.
Tools used across model development, agent workflows, research experiments, data products, and web interfaces.
Programming & Web07
- Python
- JavaScript
- HTML
- CSS
- React
- Next.js
- SQLite
AI Engineering07
- OpenAI API
- LangChain
- LangGraph
- LangSmith
- Hugging Face
- RAG
- Vector Databases
Machine Learning08
- PyTorch
- TensorFlow
- scikit-learn
- Stable Baselines3
- Computer Vision
- Reinforcement Learning
- SAC
- PPO
Data07
- Pandas
- NumPy
- Plotly
- Matplotlib
- Seaborn
- OpenCV
- Anomaly Detection
05Background
Experience & education.
Academic research and hands-on engineering across reinforcement learning, machine learning, and deep learning.
Experience
May 2026 - PresentNow
Research Intern, Reinforcement Learning
University of Verona, Italy
Mar 2026 - May 2026
Machine Learning Engineer Intern
University of Verona, Italy
Dec 2024 - Feb 2025
Deep Learning Intern
University of Verona, Italy
Education
2023 - PresentNow
MSc Artificial Intelligence
University of Verona, Italy
2018 - 2022
BE Industrial Engineering & Management
Mehran University of Engineering & Technology
Current thesis research
Reinforcement Learning for Building Energy Management
Developing custom CityLearn environments with PV, battery, HVAC, and domestic hot water components, then evaluating SAC and PPO policies for energy optimization and peak-demand reduction.
06Contact
Let's build something useful.
Open to Applied AI Engineer, ML Engineer, AI Agent Engineer, and research collaboration opportunities. The fastest way to reach me is email.
Download CV