This theme has several special shortcodes for creating collections of items. These collections can be used to showcase various types of your list, such as projects, publications, blogroll, bookmarks, etc.
Here are some examples:
Projects
Tokio is an asynchronous runtime for the Rust programming language. It provides the building blocks needed for writing network applications. It gives the flexibility to target a wide range of systems, from large servers with dozens of cores to small embedded devices.
Kubernetes, also known as K8s, is an open source system for managing containerized applications across multiple hosts. It provides basic mechanisms for the deployment, maintenance, and scaling of applications.
Next.js is a React framework for building full-stack web applications. You use React Components to build user interfaces, and Next.js for additional features and optimizations.
Publications
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, ...The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also connect the encoder and decoder through an attention mechanism. We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely.
arXiv:1706.03762v7 [cs.CL] 02 Aug 2023
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian SunDeeper neural networks are more difficult to train. We present a residual learning framework to ease the training of networks that are substantially deeper than those used previously. We explicitly reformulate the layers as learning residual functions with reference to the layer inputs, instead of learning unreferenced functions.
arXiv:1512.03385v1 [cs.CV] 10 Dec 2015
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua BengioWe propose a new framework for estimating generative models via an adversarial process, in which we simultaneously train two models: a generative model G that captures the data distribution, and a discriminative model D that estimates the probability that a sample came from the training data rather than G. The training procedure for G is to maximize the probability of D making a mistake.
arXiv:1406.2661v1 [stat.ML] 10 Jun 2014
Experiences
DeepSeek2025-presentAI ResearcherWork on the DeepSeek project, a research project that aims to develop a new generation of AI models that can understand and generate natural language text.
The project is focused on developing models that can generate text that is coherent, informative, and engaging, and that can be used in a wide range of applications, including chatbots, virtual assistants, and content generation tools.
OpenAI2021-2025Machine Learning EngineerAlone with the team, I worked on developing new machine learning models and algorithms for a wide range of applications, including natural language processing, computer vision, and reinforcement learning. I also worked on developing new tools and frameworks for training and deploying machine learning models, and on building systems that can scale to handle large amounts of data and compute resources.
2018-2022Backend EngineerAs a backend engineer at Google, I worked on developing and maintaining the backend systems that power Google's search engine, as well as other products and services. I worked on developing new features and improvements for the search engine, as well as on optimizing the performance and scalability of the backend systems.
Projects (Simple)
An asynchronous runtime for the Rust programming language
Production-Grade Container Scheduling and Management
React framework for building full-stack web applications
A modern runtime for JavaScript and TypeScript
The open and composable observability and data visualization platform
Bear necessities for state management in React
Experiences (Simple)
DeepSeekAI Researcher
2025-presentAI Researcher
OpenAIMachine Learning Engineer
2021-2025Machine Learning Engineer
Backend Engineer
2018-2022Backend Engineer
Bookmarks
Bookmarks (Without icon)
Games
Elden Ring200+ hrs
Sekiro: Shadows Die Twice300+ hrs
Dead Cells80+ hrs
Baldur's Gate 3100+ hrs
It Takes Two20+ hrs
Monster Hunter: World50+ hrs
Blogroll
Books
The Old Man and the Sea[American] Ernest HemingwayA novella that tells the story of Santiago, an aging Cuban fisherman who struggles with a giant marlin far out in the Gulf Stream. The story is a tale of endurance, perseverance, and the human spirit's struggle against nature. It explores themes of courage, pride, and the relationship between man and the natural world.
To Kill a Mockingbird[American] Harper LeeA novel set in the American South during the 1930s. It tells the story of Scout Finch, her brother Jem, and their father Atticus, a lawyer who defends a black man falsely accused of raping a white woman. The novel addresses themes of racial injustice, moral growth, and the loss of innocence.
1984[British] George OrwellA dystopian novel set in a totalitarian society ruled by the Party, which has total control over every aspect of people's lives. The story follows Winston Smith, a low-ranking member of the Party, as he becomes disillusioned with the oppressive regime and begins to rebel against it. The novel explores themes of surveillance, censorship, and the manipulation of truth.
