Aleksandr Timofeev
Machine Learning Engineer at Apple
Lausanne Metropolitan Area Switzerland
Summary
👤
Senior🎓
Top SchoolAleksandr Timofeev is a Machine Learning Engineer with eight years of experience building production ML systems that bridge research and product impact, currently at Apple in the Zürich area. His background spans deep learning (CV, NLP, RL), classic data science, and engineering robust data pipelines—evidenced by delivered improvements such as a 50% user-metric uplift and 70% latency reduction on a transformer handwriting project at Google and a 15% lift in churn-model performance at Swissquote. He has led vertical ML solutions for CFD at Neural Concept and optimized mobile image-restoration pipelines for Huawei to run on-device with minimal quality loss. Comfortable moving models from papers to constrained production environments, he also brings research rigor from EPFL and MIPT, with publications in ICDAR and hands-on experience in federated and personalized learning. Notably, he combines an applied-math pedigree (4.9/5 GPA) with pragmatic software engineering, making him effective at turning complex algorithms into scalable, business-facing systems.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Applied Mathematics, 4.9/5.0, Bachelor's degree, Applied Mathematics, 4.9/5.0 at Moscow Institute of Physics and Technology (State University) (MIPT)Master's degree, Data Science, Master's degree, Data Science at EPFL (École polytechnique fédérale de Lausanne)
Russian, English, French
Github Skills (15)
cycle9
branch-prediction9
simulator9
risc9
simulation9
cpu9
risc-v8
computer-architecture8
pipeline8
cpu-cache8
silicon8
mips7
weighting6
retrieval3
smooth3
Programming languages (2)
Github contributions (5)
TimofeevAlex/multimodal-retrieval
Nov 2021 - Dec 2021
Multi-modal retrieval with a smooth weighting of negatives
Contributions:45 commits, 1 PR, 38 pushes in 16 days
multi-modalmodalweightingretrievalsmooth
TimofeevAlex/Manifold-based-time-series-forecasting
Nov 2020 - Feb 2022
Contributions:5 commits, 9 pushes, 1 branch in 1 year 3 months
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