Most materials are in English unless literally flagged otherwise.
The absolute majority is on the subjects of Systems Design, Computer Science, and Artificial Intelligence.
The 🗣️ talking head links aren’t technical, and in the ones with a 👯♂️ - I am just a wingman supporting another speaker.
2023
- AI.dev Linux Foundation Conference: Retrieval Augmentation and Semantic Search at Scale. San Jose, California, US. Event.
- All Things Open Conference: Bird’s Eye View of Open-Source AI Infrastructure. Raleigh, North Carolina, US. Event. Slides, YouTube.
- UC Berkeley Sky Lab Seminar: Vector Search at Scale - Bottlenecks and Solutions. Berkeley, California, US. Event.
- Cloud Native London: Future of Open-Source AI Infrastructure. London, UK. Event.
- Highload++ Conference: Vector Search and Databases at Scale. Belgrade Serbia. Event, Slides, YouTube.
- Python SF Group: Accelerated Datascience Libraries and Where to Find Them. Sentry HQ, San Francisco, California, US. Event, YouTube.
- CppCast Podcast #359: On AI Infrastructure. Event. Spotify, Apple Podcasts, Google Podcasts.
- Amazon AWS Podcast #32: Can you make a database 6-7 times faster? Spotify, Podbean, Apple Podcasts, Google Podcasts. 🇷🇺
- Attention Heads Podcast #4: Large scale data processing for AI apps. YouTube.
- DigiTech Conference: On deep tech startups and the development of the industry in Armenia. Yerevan, Armenia. Event. YouTube. 🗣️
- EVN Disrupt Podcast: Building AI While Embracing the Unorthodox. Event podcast. YouTube. Spotify. Apple Podcasts. 🗣️
- Voxel 51 Meetup: Scaling Similarity Search with USearch. Event. YouTube.
2022
- Designing the fastest ACID Key-Value Store @ Highload++. YouTube. Slides.
- 3M: Prospects and Challenges with Multi-Modal Models in AI Research @ DataFest. YouTube. Slides.
- Accelerated Data Science Libraries @ PyData Conference. YouTube. Slides.
- Life Altering Technologies @ Global Innovation Forum. YouTube. 🗣️
- Persistent Memory Technologies Overview @ AMD & Xilinx.
- Role of C++ in Machine Learning discussion @ CppRussia. YouTube. 🇷🇺
- From OpenCL, Thrust & CUB to raw CUDA Kernels & SyCL @ CppArm Meetup #3. GitHub.
- Fast Inference for Large Language Models with Vladimir Orshulevich @ PyData Meetup #2. YouTube. 👯♂️
- Unsafe Math, GCC Attributes, and Nifty Tricks for Google Benchmark @ CppArm Meetup #4. GitHub.
- A Practical Approach to Error Handling by Arno Schödl @ CppRussia. YouTube. 👯♂️
- Accelerated Data-Science Tools Overview @ PYerevan Meetup #16. YouTube.
- Bindings 101: CPython, cGo, and Java Native Interface @ CppArm Meetup #5. GitHub, YouTube.
2021
- On High-Performance Computing @ Mars Podcast. YouTube. 🇦🇲
- Evolution: C++11, 14, 17, 20, 23, 26? @ CppArm Meetup #2. YouTube
- Peta-Scale software in 2021 @ Code Republic. YouTube. Slides 🇦🇲
- On the Gituzh Scientific Initiative @ FM106.5. YouTube. 🇦🇲 🗣️
- SIMD with EVE by Denis Yaroshevskiy @ CppRussia. YouTube. 👯♂️
2020
- SIMD = Performance you have already paid for @ CppRussia Conference. GitHub. YouTube. Slides. 🇷🇺
- SIMD. Frequency Scaling Licenses and Speculative Execution @ CppArm Meetup #1. GitHub, YouTube.
- Conversing about High-Performance Computing @ Pure Virtual Cast #4. YouTube. 🇷🇺
- Artsakh Must Be Independent. YouTube. 🗣️
2019
- Deep dive into GPGPU programming @ CppRussia Conference. GitHub. YouTube. Slides.
- AI and Computational Graphs in C++ @ CppBayArea. GitHub.
- Efficient GPGPU Programming @ JetBrains HQ. GitHub, YouTube.