Who is Aleksandr Glushko? Overview
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Aleksandr Glushko is listed as Product Developer at GFR.ai, based in Berlin, Germany. AeroLeads shows a matched LinkedIn profile for Aleksandr Glushko.
Aleksandr Glushko previously worked as Machine Learning Engineer at Gfr.Ai and DevOps / Machine Learning Engineer at Sentium Consulting. Aleksandr Glushko holds Master'S Degree, Simulation Science from Rwth Aachen University.
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GFR.ai
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Profile bio
About Aleksandr Glushko
Experienced Machine Learning Engineer with a strong focus on deep learning techniques and expertise in automatic speech recognition (ASR) and language model (LM) training. Skilled in implementing AutoML pipeline creations using the AWS Sagemaker Pipeline framework for efficient and scalable model development. Proficient in training and deploying cutting-edge machine learning models for time-series data forecasting and speech recognition applications. Published researcher in the field of ASR, investigating methods to improve language model integration for attention-based encoder-decoder models. Strong programming skills in Python, with hands-on experience in TensorFlow, PyTorch, scikit-learn, and other data analysis frameworks. Proficient in workflow parallelization and proficient in leveraging advanced machine learning algorithms and natural language processing models. Fluent in Russian and English, with intermediate proficiency in German. Committed to driving innovation and delivering impactful solutions through deep learning and AutoML techniques.
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10 roles
Aleksandr Glushko work experience
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Machine Learning Engineer
Current
Mar 2024 - Present
Devops / Machine Learning Engineer
Current• Implemented an end-to-end heavily parallelised Auto-ML pipeline to automate data analysis and feature predictions of customer data with Neural Networks (e.g. LightGBM, XGBoost and Ray).• Collaborated with clients to develop Proof of Concepts (POCs) and demonstrations powered by AI.• Developed project proposals.• Bridged technical details to non-technical stake holders.• Managed the product integration process on the customer’s side.Stack: Kubernetes, Docker, Ray… Show more • Implemented an end-to-end heavily parallelised Auto-ML pipeline to automate data analysis and feature predictions of customer data with Neural Networks (e.g. LightGBM, XGBoost and Ray).• Collaborated with clients to develop Proof of Concepts (POCs) and demonstrations powered by AI.• Developed project proposals.• Bridged technical details to non-technical stake holders.• Managed the product integration process on the customer’s side.Stack: Kubernetes, Docker, Ray, Prefect, MongoDB, Pandas, Numpy, Scikit-Learn, Python, Swift Show less
Sep 2023 - Present
Machine Learning Engineer
- Developed and implemented an AutoML pipeline using AWS SageMaker Pipeline, S3 and Lambda frameworks, resulting in a 16% improvement in time-series data forecasting accuracy.- Trained, tuned, and deployed XGBoost models for time-series forecasting, achieving 96% average accuracy.
Mar 2023 - Aug 2023
Devops / Machine Learning Engineer
• Implemented an end-to-end heavily parallelised Auto-ML pipeline to automate data analysis and feature predictions of customer data with Neural Networks (e.g. LightGBM, XGBoost and Ray).• Collaborated with clients to develop Proof of Concepts (POCs) and demonstrations powered by AI.• Developed project proposals.• Bridged technical details to non-technical stake holders.• Managed the product integration process on the customer’s side.Stack: Kubernetes, Docker, Ray… Show more • Implemented an end-to-end heavily parallelised Auto-ML pipeline to automate data analysis and feature predictions of customer data with Neural Networks (e.g. LightGBM, XGBoost and Ray).• Collaborated with clients to develop Proof of Concepts (POCs) and demonstrations powered by AI.• Developed project proposals.• Bridged technical details to non-technical stake holders.• Managed the product integration process on the customer’s side.Stack: Kubernetes, Docker, Ray, Prefect, MongoDB, Pandas, Numpy, Scikit-Learn, Python, Swift Show less
Sep 2022 - Feb 2023
Applied Scientist Intern
Utilized a SOTA Transformer-type Language Model (BERT) to successfully replicate the original data distribution, resulting in a convenient and accurate snapshot of an anonymized user data. That improved trained Language Model Perplexity by 20% in experience replay for incremental learning, and eliminated the risk of customer data loss.Stack: Python, Tensorflow, Pytorch, Cuda, Pandas, Numpy, Scikit-Learn
Jun 2022 - Sep 2022
Student Research Assistant
Rwth Aachen University, Department Of Human Language Technology And Pattern Recognition
- Developed an innovative algorithm to enhance automatic speech recognition for Attention-based Encoder-Decoder models, resulting in a 6% reduction in Word Error Rate, surpassing the current SOTA Language Model interpolation method. - Trained, evaluated and fine-tuned deep learning models (e. g. AED, Transformer) achieving 5.7 WER score on Librispeech test set with AED model.
Jun 2020 - Jun 2022
Oct 2019 - Apr 2020
Student Research Assistant
Rwth Aachen University, Department Of Computer Vision
Feature data processing. Implemented a mathematical algorithm of an invariant rotation of points clouds for restoring objects from a 2D picture as a data augmentation method for Computer Vision purposes.
Nov 2018 - Sep 2019
Undergraduate Research Assistant
Research assistant in the laboratory of nano-lithography. Implemented a computer simulation model of a neutral filter for EUV range in Python for spectroscopy and nano-litography experiments.
Sep 2017 - Jul 2018
2 education records
Aleksandr Glushko education
Master'S Degree, Simulation Science
Bachelor'S Degree, Applied Mathematics And Physics
FAQ
Frequently asked questions about Aleksandr Glushko
Quick answers generated from the profile data available on this page.
What company does Aleksandr Glushko work for?
Aleksandr Glushko works for GFR.ai.
What is Aleksandr Glushko's role at GFR.ai?
Aleksandr Glushko is listed as Product Developer at GFR.ai.
Where is Aleksandr Glushko based?
Aleksandr Glushko is based in Berlin, Germany while working with GFR.ai.
What companies has Aleksandr Glushko worked for?
Aleksandr Glushko has worked for Gfr.Ai, Sentium Consulting, Invision Group, Amazon, and Rwth Aachen University, Department Of Human Language Technology And Pattern Recognition.
How can I contact Aleksandr Glushko?
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What schools did Aleksandr Glushko attend?
Aleksandr Glushko holds Master'S Degree, Simulation Science from Rwth Aachen University.
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