- CS/AI researcher.
- Astrophysics dropout.
- Building Unum since 2015.
- Investing in deep-tech, cloud, & semiconductors.
- Love organizing hackathons & meetups.
- Speak English, Russian, & Armenian.
- Lived in 🇺🇸🇬🇧🇷🇺🇦🇲 & 🇲🇽🇵🇦🇦🇷🇩🇪🇦🇪🇹🇭🇲🇾🇻🇳🇮🇩.
Want to chat? I'm ashvardanian on most platforms, including Twitter/X and LinkedIn. If you're looking for Venture Capital for something deeply technical or scientific – feel free to send links or materials [email protected] and [email protected] 🤗
- USearch - single-file search engine for C, C++, Rust, Swift, Go, Java, C#, Python, JS..., FAISS alternative
- StringZilla - faster strings with SIMD/SWAR for C, C++, Rust, Python, and Swift, GlibC & STL alternative
- UForm - small multimodal pre-trained AI models with SDKs for Python, JS, and Swift, CLIP alternative
- SimSIMD - fast vector-vector math library for C, Python, Rust, and JavaScript, BLAS l1 alternative
- UCall - networking server library for C and Python designed for Linux kernel bypass, FastAPI alternative
Some of those are used in ClickHouse, DuckDB, TiDB, ScyllaDB, YugaByte, and many other less "open" systems, such as competitive AI labs, Cloud companies, Fortune 500, iOS and Android apps with 100M-1B MAU, and government agencies. Smaller projects include:
- less_slow.cpp - teaches a performance oriented mindset for C++, CUDA, PTX, and ASM
- less_slow.rs - Rust adaptation with a focus on higher-level abstractions
- less_slow.py - Python adaptation with a focus on scripting & data-management
- USearch-Molecules - 28 billion embeddings - one of the largest datasets in Computational Chemistry
- UStore - multimodal embedded database for C, C++, and Python designed around key-value stores
- SwiftSemanticSearch - example of on-device real-time AI using UForm and USearch on iOS
- cuda-python-starter-kit - C++ and CUDA starter kit for Python developers avoiding CMake
- TinySemVer - Semantic versioning GitHub CI tool that doesn't take 300K lines of JavaScript
- affine-gaps - Less wrong local and global Gotoh sequence alignments in one NumBa Python file
- ParallelReductionsBenchmark - GPGPU benchmarks for SyCL, CUDA, OpenCL, Vulkan, etc.
- memchr_vs_stringzilla - Rust micro-benchmark comparing StringZilla to the MemChr crate
- usearch-benchmarks - Billion-scale Vector Search benchmarks against FAISS, Weaviate, Qdrant, etc.
- ucsb - parallel benchmarks for ACID persistent key-value stores, like RocksDB
- scaling-democracy - combinatorial voting method implemented in CUDA for H100 GPUs
- LibSee - non-intrusively profiling LibC calls with
LD_PRELOADtricks
Cherry picks:
