Curriculum Vitae

Université Côte d'Azur, Nice, France

• Led a pioneering project on the 3D reconstruction of the human body, focusing on real-time human biomechanics capture using deep learning and neural rendering techniques (NeRF, Gaussian Splatting).
• Published research findings in international conferences, contributing to the scientific community.
• Collaborated with academic partners at Brown University and industry partner Youdome in Monaco.

Politecnico di Milano, Milan, Italy

• Mastered AI, Machine Learning, Data Science, and Computer Vision through intensive, project-based coursework.
• Developed a robust analytical foundation in mathematics, probability, statistics, and critical thinking.

West Bengal University of Technology, Kolkata, India

• Final thesis on automated region selection in images based on visual saliency.

Unith AI, Barcelona, Spain

• Developing next-generation real-time conversational 3D digital human avatars with lifelike interaction capabilities.
• Integrating large language models (LLMs), speech-to-text (STT), text-to-speech (TTS), and cutting-edge 3D avatar research to enable seamless real-time human–AI conversations.
• Tools: Python, GenAI, Gaussian Splatting, UV, Pydantic, AWS, and PyTorch.

Haxion AI, San Francisco, United States — Remote from Spain

• Designed and deployed production-grade LLM pipelines, enabling real-time natural language interaction with complex 3D datasets.
• Developed an iOS mobile app using ARKit to capture 3D scenes using LiDAR and cameras.
• Developing a pipeline to generate 3D scenes along with their corresponding 3D features from videos.
• Delivered end-to-end prototypes to client-ready solutions, ensuring model validation and deployment feasibility.
• Tools: Python, GenAI, LLMs finetuning, VLMs, Gaussian Splatting, UV, Pydantic, FastAPI, AWS, and iOS.

Brown University, Providence, USA

• Key Contribution: Designed and executed algorithms for 3D human digitization using Neural Rendering techniques (e.g., NeRF, Differentiable Rendering), enhancing the quality of 3D human reconstruction.
• Optimization: Improved training performance for large-scale neural rendering models by implementing multi-GPU distributed AI pipelines, resulting in faster model convergence.
• Research Impact: Published peer-reviewed papers in CVPR conferences, contributing to the wider research community through the development of novel techniques in neural rendering.

Université Côte d'Azur, Nice, France

• Taught 3D Machine Vision to Master's students at Polytech Nice Sophia.
• Covered end-to-end pipeline: Azure Kinect DK, ROS Melodic, and real-time point cloud visualization in RViz.

Next Industries S.R.L, Milan, Italy

• Developed and deployed machine learning models for wearable edge devices with a focus on motion gesture recognition in real-time, improving device accuracy and responsiveness.
• Collaborated with cross-functional teams including hardware and software engineers to align machine learning algorithms with business goals and product requirements.

UniCredit Services S.c.p.a., Milan, Italy

• Automated and optimized financial processes using NLP and deep learning, resulting in a 40% reduction in manual processing time and a significant 30% in operational efficiency.
• Deployed NLP microservices in a distributed architecture aligned with data governance principles.
• Collaborated with product teams to deliver AI-driven features that improved the user experience, aligning with business goals and customer needs.
• Tools: Python, Spacy, OpenCV, GitLab, MLflow, scikit-learn, Docker, Kubernetes.