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Hi, I'm Michelle Z. He, a passionate and dedicated computer science graduate currently pursuing my Master of Science at the University of California, San Diego. I specialize in video coding algorithms and software engineering with hands-on experience in advanced video compression standards, deep learning model tuning, and full-stack web development. I'm driven by solving complex algorithmic challenges and creating efficient, scalable solutions. With experience working at Nokia and Shanghai Fullhan Microelectronics, alongside research contributions at Shanghai Jiao Tong University, I continuously seek to enhance my technical expertise in AI and video codecs. I thrive in collaborative environments, embrace Agile methodologies, and enjoy leveraging modern tools and frameworks to deliver impactful projects that blend innovation with real-world application.…Hi, I'm Michelle Z. He, a passionate and dedicated computer science graduate currently pursuing my Master of Science at the University of California, San Diego. I specialize in video coding algorithms and software engineering with hands-on experience in advanced video compression standards, deep learning model tuning, and full-stack web development. I'm driven by solving complex algorithmic challenges and creating efficient, scalable solutions. With experience working at Nokia and Shanghai Fullhan Microelectronics, alongside research contributions at Shanghai Jiao Tong University, I continuously seek to enhance my technical expertise in AI and video codecs. I thrive in collaborative environments, embrace Agile methodologies, and enjoy leveraging modern tools and frameworks to deliver impactful projects that blend innovation with real-world application.

Michelle Z. He

Developer, Full Stack Developer, AI Engineer

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Hi, I'm Michelle Z. He, a passionate and dedicated computer science graduate currently pursuing my Master of Science at the University of California, San Diego. I specialize in video coding algorithms and software engineering with hands-on experience in advanced video compression standards, deep learning model tuning, and full-stack web development. I'm driven by solving complex algorithmic challenges and creating efficient, scalable solutions. With experience working at Nokia and Shanghai Fullhan Microelectronics, alongside research contributions at Shanghai Jiao Tong University, I continuously seek to enhance my technical expertise in AI and video codecs. I thrive in collaborative environments, embrace Agile methodologies, and enjoy leveraging modern tools and frameworks to deliver impactful projects that blend innovation with real-world application.…Hi, I'm Michelle Z. He, a passionate and dedicated computer science graduate currently pursuing my Master of Science at the University of California, San Diego. I specialize in video coding algorithms and software engineering with hands-on experience in advanced video compression standards, deep learning model tuning, and full-stack web development. I'm driven by solving complex algorithmic challenges and creating efficient, scalable solutions. With experience working at Nokia and Shanghai Fullhan Microelectronics, alongside research contributions at Shanghai Jiao Tong University, I continuously seek to enhance my technical expertise in AI and video codecs. I thrive in collaborative environments, embrace Agile methodologies, and enjoy leveraging modern tools and frameworks to deliver impactful projects that blend innovation with real-world application.

Available to hire

Hi, I’m Michelle Z. He, a passionate and dedicated computer science graduate currently pursuing my Master of Science at the University of California, San Diego. I specialize in video coding algorithms and software engineering with hands-on experience in advanced video compression standards, deep learning model tuning, and full-stack web development. I’m driven by solving complex algorithmic challenges and creating efficient, scalable solutions.

With experience working at Nokia and Shanghai Fullhan Microelectronics, alongside research contributions at Shanghai Jiao Tong University, I continuously seek to enhance my technical expertise in AI and video codecs. I thrive in collaborative environments, embrace Agile methodologies, and enjoy leveraging modern tools and frameworks to deliver impactful projects that blend innovation with real-world application.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Video Coding Co-op at Nokia

January 31, 2025 - August 24, 2025

Designed novel video compression algorithms in C++ for JVET's next-generation video coding standards. Implemented EIP filters using diagonal pixel samples, improving luma bitrate by -0.02% (AI) and -0.01% (RA), with contributions accepted at JVET meetings. Enhanced temporal partitioning prediction algorithms by leveraging same-QP frames in reference lists instead of collocated frames, improving codec efficiency and performance.

Software Engineer Intern (Video Codec Algorithm) at Shanghai Fullhan Microelectronics Co., Ltd.

July 31, 2023 - August 24, 2025

Mastered H.265/HEVC and H.266/VVC standards and implemented a C++ algorithm enabling early block partition prediction using spatial features like edge complexity and smoothness. Optimized encoding process by enforcing structured block sizes and early exit strategies, achieving a 68% reduction in encoding times with only a 3.5% BD-rate increase, balancing speed and quality effectively.

Research Assistant at MoE Key Lab of AI, AI Institute, Shanghai Jiao Tong University

August 31, 2021 - August 24, 2025

Supported the project on Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation, including building a Blender-based rendering pipeline for results from streaming videos. Tuned deep learning models using Python and evaluation metrics like MPJPE/PA-MPJPE to improve out-of-domain generalization for 3D human mesh reconstruction tasks, contributing to research published in IEEE TPAMI.