About Me

I am a Freelance Machine Learning Engineer and Data Scientists with nearly 4 years of experience optimizing decision-making and operational efficiency through AI. My expertise includes NLP, time series analysis, and computer vision, where I've developed and deployed models for realworld applications. For nearly 2 years, I’ve also focused on architecting solutions with Large Language Models, fine-tuning LLMs and multimodal models, and building chatbots using Retrieval Augmented Generation (RAG), knowledge graphs, and LLM agents. I've worked with open-source and closed-source models like BERT, GPTs, LLAMA, GEMMA, Diffusion, LLAVA, and Whisper. I'm proficient in TensorFlow, Keras, PyTorch, scikit-learn, and HuggingFace, and have experience across the full ML lifecycle (MLOps).

You can check out my work and insights on my YouTube channel: AI Roundtable

Beyond work, I enjoy exploring nature and watching movies. For a decade, I pursued my passion for extreme sports as a professional canyoner and spelunker. Today, I continue to seek adventure, whether it be through travel or tackling new industrial challenges.

Academic Background

  • PhD in Mechanical Engineering (Dropout)
    Carleton University (Ottawa, Canada)
  • MSc in Electrical Engineering
    Politecnico di Milano (Milan, Italy)
  • BSc in Electrical and Computer Engineering
  • Associate Degree in General Electronics

Work Experience

  • Machine Learning Engineer and Data Scientist (Aug 2023 - Aug 2024)
    Tomlinson Group (Ottawa, Canada)
  • Research Assistant and Teacher assistant (Jan 2022 - Aug 2023)
    Carleton University (Ottawa, Canada)
  • Machine Learning Engineer and Consultant (Jan 2021 - Dec 2021)
    Capgemini Engineering (Milan, Italy)
  • Research Assistant (May 2019 - Dec 2020)
    Beihang University (Milan, Italy)(Remote)

Portfolio