Anil Egin
Anil Egin

AI Researcher

Sapienza University
INRIA
VRAI Lab

About Me

I’m passionate about developing AI systems that are not only intelligent but also impactful and accessible for people. My work spans computer vision, natural language processing, and robotics, where I focus on solving challenging problems and exploring new approaches.

I am pursuing an MSc in Artificial Intelligence and Robotics at Sapienza University and hold a BSc from Bocconi University, where my thesis introduced multi-stage anonymized video synthesis via generative motion transfer. I have published at ICCV 2025 CV4BIOM Workshop on expression-consistent talking-head anonymization with the INRIA STARS team under Dr. Antitza Dantcheva. I am currently a research assistant at the VRAI Lab with Prof. Rocco Pietrini, working on cross-view video synchronization and applied vision for personalized color analysis.

I thrive on collaboration with people who are excited about pushing the boundaries of AI, and I find the most rewarding part of this field is turning research into solutions that truly matter.

Always open to connecting with like‑minded innovators and exploring how we can contribute to the future of AI together.

Download CV
Interests
  • Computer Vision
  • Generative AI
  • Autonomous Robotics
Education

  • MSc in Artificial Intelligence and Robotics

    Sapienza University

  • BSc in Computer Science and Artificial Intelligence

    Bocconi University

Highlights
  • Feb 2026 — Research assistant at VRAI Lab: multi-view video synchronization and applied vision for color analysis.
  • Oct 2025 — Oral at CV4BIOM (ICCV 2025) on talking-head video anonymization (INRIA STARS).
  • 2024–2025 — AI research intern at INRIA STARS: video anonymization, facial treatment GNNs, and StyleGAN3 identity control.
  • Jun–Dec 2023 — Business Intelligence Engineer Intern at Amazon.
  • MSc — Artificial Intelligence and Robotics at Sapienza University.
  • BSc — Computer Science and Artificial Intelligence at Bocconi University.
Publications
Now You See Me, Now You Don't: A Unified Framework for Expression Consistent Anonymization in Talking Head Videos

Experience

  1. Research Assistant

    VRAI Lab
    Multi-view video synchronization with Prof. Rocco Pietrini. Image-based color analysis for armocromia research, evaluating skin, hair, and palette features for personalized color recommendation.

  2. AI Researcher Intern

    INRIA — STARS Team
    Talking-head video anonymization with Dr. Antitza Dantcheva. Region-based GNN for facial treatment planning (2,000+ expert annotations) with Dr. Clémentine Vincent; StyleGAN3 inversion for controllable identity manipulation.

  3. Business Intelligence Engineer Intern

    Amazon
    Insights & Innovation IT&ES Amazon Retail Team under Vania Nannola.

  4. Business Intelligence Intern

    Runibex Technology Group
    Business Intelligence Team under Mustafa Kaynak.

Education

  1. MSc in Artificial Intelligence and Robotics

    Sapienza University

    GPA: 3.54/4.0

    Coursework includes computer vision, robot programming, NLP, reinforcement learning, and autonomous robotics.

  2. BSc in Computer Science and Artificial Intelligence

    Bocconi University
    Thesis: multi-stage anonymized video synthesis using motion transfer via generative AI.
    Read Thesis
Projects

Source code and implementations are on GitHub @anilegin. Selected work:

  • AnonNET — Talking-head video anonymization with diffusion inpainting, ControlNet, and landmark-free motion transfer.
  • TurtleBot3-Navigation-Metrics — Adaptive ROS2 / Nav2 navigation with LSTM-based risk assessment and dynamic planner tuning.
  • semantic-retrieval-transformers — BGE/MiniLM retrieval with hard-negative mining and cross-encoder re-ranking.
  • visualsync — Multi-view video synchronization (VRAI Lab).

Browse all repositories on github.com/anilegin.

Contact
Reach out for research collaboration, internships, or just to connect.
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