Multimodal LLM
This portfolio is fully responsive for seamless adaptation to all screens, also providing multilingual support, light and dark modes, animations, and form validation.
- Next.js
- TypeScript
- Tailwind
- Framer Motion

I am a machine learning engineer with 9 years of experience, specializing in large language models and traditional computer vision.
My expertise includes developing NLP applications and computer vision systems, demonstrated in my diverse portfolio.
I am an experienced machine learning engineer, specializing in large language models and traditional computer vision with 9 years in the field. My skill set includes Python, TensorFlow, and PyTorch. I have a proven track record in developing innovative solutions in natural language processing and computer vision, as showcased in my diverse portfolio of projects on GitHub.
Beyond my technical expertise, I am known for my problem-solving abilities and eagerness to embrace new challenges. My hobbies, which include music, playing instruments, gaming, and exploring the latest in tech and AI, provide me with a unique blend of creativity and technical insight. These interests not only fuel my passion for machine learning but also foster a creative and collaborative approach in my professional work.
This portfolio is fully responsive for seamless adaptation to all screens, also providing multilingual support, light and dark modes, animations, and form validation.
A fully functional Instagram replica seamlessly compatible with iOS and Android. It includes user authentication, post creation, notifications, real-time interactions, and other features.
A website developed from scratch with responsive design to effectively showcase high-quality architectural renders. It includes a real-time online quotation system, animations, and form validation.
An apartment designed in a game engine that provides the freedom to explore, interact with all its elements, change lighting, and customize finishes.
San Jose, California, USA
Multimodal-LLM for video understanding.
September 2021 - PresentMelon Park, California, USA
Computer vision engineer in FAIR (Facebook AI Research), worked on the fairness and explainability in AI.
December 2020 - August 2021Santa Clara, California, USA
Developed aifi-pose system
July 2018 - December 2020Kowloon, Hong Kong
Developed a new deep learning optimizer based on the pid optimizer.
October 2016 - April 2018Beijing, China
Worked on image denoise, image super-resolution, face detection, face alignment, face gender recognition, face smiling detection, face appearance age estimation, face re-identification, faster-rcnn and generative adversarial networks.
August 2015 - July 2018Hiroshima, Japan
Concentration on the control system improvement of the steel milling machine.
January 2013 - March 2013Taiyuan, Shanxi Province, China
Concentration on the hyperparameter tuning for a real giant machine in order to make it learning.
August 2012 - September 2014Kunming, Yunnan Province, China
major in instrument and measurement science, concentration on the theory of pid controller
September 2008 - July 2012Don't hesitate to get in touch! I'm excited about new job opportunities. You can do so through this form, by sending me a direct email, or by connecting with me on LinkedIn or GitHub. Looking forward to connecting!