Christian Bianchi

I’m Christian Bianchi, a technology professional specializing in artificial intelligence, robotics, and software engineering. Currently pursuing my MSc in Artificial Intelligence and Robotics at Sapienza University of Rome, I am driven by a passion for crafting innovative solutions that merge technical expertise with creative storytelling.

My academic journey has been fueled by curiosity and excellence, from earning top honors in courses like Computer Vision and Natural Language Processing to researching novel regularization techniques for neural networks. This solid foundation has shaped my professional career, where I’ve developed advanced problem-solving skills as a Software Engineer at HCL Software, tackling complex challenges and mentoring global teams.

I am passionate about building projects that merge technology with storytelling to create immersive, impactful experiences. Whether developing neural style transfer systems to bring unique artistic styles to animation, designing deep learning pipelines to integrate diverse data seamlessly, or engineering virtual production tools that streamline creative workflows, my work reflects a commitment to innovation and collaboration. My goal is to push the boundaries of AI and robotics, crafting tools that empower creators and inspire audiences.

Beyond coding, I thrive on blending creativity with technology. Every project I undertake is an opportunity to inspire curiosity, spark imagination, and leave a lasting impact. Let’s connect and transform ambitious ideas into reality.

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Languages

Python, R, C++

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Machine Learning

PyTorch, TensorFlow, Keras

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Robotics

ROS2, Autonomous Navigation

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AI Research

Computer Vision, GenAI, RL, NLP

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Cloud Deployment

AWS, Google Cloud

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Neural Style Transfer

Developed a system that applies animation-inspired styles, such as Disney aesthetics, to videos using neural style transfer. The system enhances temporal consistency with optical flow, ensuring smooth transitions between frames. Showcased over 30 styled clips on GitHub, demonstrating the power of AI-driven creativity.

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Character Animation

Designed and implemented a reinforcement learning framework for lifelike character animations, enabling complex motions such as walking and jumping using Unity ML-Agents. Delivered two polished demos showcasing realistic and dynamic character behaviors.

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Virtual Production Pipeline

Engineered a virtual production pipeline utilizing Pixar's USD for seamless 3D scene generation. Automated terrain creation with Perlin noise and adaptive asset placement, resulting in a 2-minute demo and detailed GitHub documentation showcasing the process and tools.