Oleg Golev

Oleg Golev

Currently Product Lead, AI at Sentient Labs, working on AI reasoning research and building state-of-the-art open-source AI systems.

Previously Platform Engineer at D. E. Shaw, Arcesium, Sisu Data, and Albatross Labs, working on trading, fintech, and low-latency automation & infrastructure. For full work history, visit my LinkedIn.

B.S.E. and M.Eng. in Computer Science from Princeton University, with research background in distributed systems, AI/ML, and HCI.

✨ selected research

* denotes equal contribution

OML: A Primitive for Reconciling Open Access with Owner Control in AI Model Distribution
NeurIPS LockLLM Workshop 2025
ml

OML: A Primitive for Reconciling Open Access with Owner Control in AI Model Distribution

Zerui Cheng, Edoardo Contente, Benjamin Tsengel Finch, Oleg Aleksandrovich Golev, Jonathan Hayase, Andrew Miller, Niusha Moshrefi, Anshul Nasery, Sewoong Oh, Himanshu Tyagi, Pramod Viswanath

Running Consistent Applications Closer to Users with Radical for Lower Latency
SOSP 2025
systems

Running Consistent Applications Closer to Users with Radical for Lower Latency

Nicolaas Kaashoek, Oleg Golev, Austin Li, Amit Levy, Wyatt Lloyd

Hapster: Using Apple Watch Haptics to Enable Live Low-Friction Student Feedback in the Physical Classroom
CHI Extended Abstracts 2024
hci

Hapster: Using Apple Watch Haptics to Enable Live Low-Friction Student Feedback in the Physical Classroom

Oleg Golev*, Michelle Huang*, Chanketya Nop*, Kritin Vongthongsri*, Andrés Monroy-Hernández, Parastoo Abtahi

✨ projects

Evaluating Gradient Inversion Defenses in Federated Learning on the Brain Tumor MRI Dataset
2024
ml
privacy

Evaluating Gradient Inversion Defenses in Federated Learning on the Brain Tumor MRI Dataset

Oleg Golev

Analysis of gradient inversion attacks and defensive mechanisms in federated learning systems for medical imaging

Replicating Double-Hard Gender Debiasing Algorithm
2022
nlp
ml

Replicating Double-Hard Gender Debiasing Algorithm

Alan Ding, Oleg Golev, Alik Zalmover

Reproduced and extended the Double-Hard Debias algorithm using BERTbase to reduce word embeddings gender bias

Deep Learning for Automatic Beatboxing Transcription
2021
deep-learning
audio

Deep Learning for Automatic Beatboxing Transcription

Oleg Golev

Deep neural network approach for automatic transcription of human beatboxing sounds into musical notation

TigerCrush
2020
web-dev
full-stack

TigerCrush

Oleg Golev, Alan Ding, and Gerald Huang

Anonymous crush-matching platform for Princeton students, gathered 1000+ users and featured in The Daily Princetonian

MealQueue
2020
web-dev
full-stack

MealQueue

Anthony Hein, Oleg Golev, Rahul Jagetia, Aryan Bhasin, Manan Goenka

Digital ordering queue system for Princeton University's Late Meal cafe, replacing pen-and-paper workflow with real-time order management between students, chefs, and admins.

✨ fun systems stuff

Bitcoin Mining Network Simulator

Bitcoin Mining Network Simulator

COS 470: Principles of Blockchains (Fall 2022)

A cycle-accurate Bitcoin mining network simulator in Rust

Raft Consensus & KV Storage Service

Raft Consensus & KV Storage Service

COS 418: Distributed Systems (Spring 2021)

Raft consensus implementation with fault-tolerant key-value store

Chandy-Lamport Snapshot Algorithm

Chandy-Lamport Snapshot Algorithm

COS 418: Distributed Systems (Spring 2021)

Implementation of the Chandy-Lamport distributed snapshot algorithm

MIPS ISA Cycle-Accurate CPU Simulator

MIPS ISA Cycle-Accurate CPU Simulator

COS 375: Computer Architecture (Spring 2021)

MIPS ISA CPU simulator with pipelining and hazard detection in C++

x86 OS Kernel w/ Unix-like File System

x86 OS Kernel w/ Unix-like File System

COS 318: Operating Systems (Fall 2020)

Operating system kernel with process management, virtual memory, and file system

HTTP Proxy w/ DNS Pre-Fetching

HTTP Proxy w/ DNS Pre-Fetching

COS 461: Computer Networks (Spring 2020)

Caching HTTP proxy with concurrent connection handling and DNS prefetching

✨ misc