Nastia Havriushenko Email & Phone Number
Who is Nastia Havriushenko? Overview
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Nastia Havriushenko is listed as Senior AI Research Engineer at Elastic, a with 4569 employees, based in Amsterdam, North Holland, Netherlands. AeroLeads shows a matched LinkedIn profile for Nastia Havriushenko.
Nastia Havriushenko previously worked as Senior Machine Learning Engineer at Elastic and Machine Learning Engineer at Elastic. Nastia Havriushenko holds Master'S Degree from Taras Shevchenko National University Of Kyiv.
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About Nastia Havriushenko
I graduated with a Master's degree in Statistics, focusing on Machine Learning. I have 5+ years of professional experience with data-driven projects, mostly as a Data Scientist and a Machine Learning / MLOps Engineer. I'm experienced in Python, Azure, Docker and Spark. I’ve been working with models in proof of concept and production levels, model deployment, monitoring and (re)training, software development, APIs and Federated Learning.
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Nastia Havriushenko work experience
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Senior Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineer
- Project Management: leading AI/ML projects from initiation to completion. This involves defining project objectives, creating project plans, estimating resources and timelines.- Collaboration and Communication: Collaborating with cross-functional teams, such as data scientists, software engineers, and business analysts, to ensure effective integration of ML solutions throughout the project lifecycle.- Providing technical expertise and guidance to the ML engineering project, researching and developing AI/ML solutions.- Client Interaction: understanding client requirements and translating them into actionable ML engineering tasks. Leading client meetings, presentations, and discussions, and providing technical insights and recommendations.- Mentorship: Setting performance goals, and providing regular feedback and coaching- Ensuring the quality and reliability of ML models and solutions developed by the team. Implementing code reviews, testing and validation.
Machine Learning Engineer
Responsibilities:• lead implementation of production-ready ML solutions• architect a feedback loop for released ML model• design and develop model monitoring and alerting in order to be pro-active on drifts• create sustainable CI/CD process for ML models• set up project priorities, distribute tasks over the team, mentor junior colleagues• automate creation of production-ready model from data science prototypes• automate model deployment, testing, versioning, traceability Used technologies/ tooling: Kubernetes, pre-commit, ML algorithms, Evidently, poetry, VertexAI, Hbase, pyspark, SQL, pytest, FastAPI
Data Engineer
Data Engineer
Winkelstuurinformatie - Receipts and payment logs from all SPAR stores and partners land at Data lake. The team was responsible for creating an even-driven platform that consumes, parses, verifies, and transforms data of various formats and sources. In addition we were responsible for ML-driven forecasts, BI dashboards, business insights and decision support.Responsibilities: - develop Data quality checks (Great Expectation Python package) - architect and implement event-driven streaming services - contribute to ML models development in Synapse and Azure Machine Learning - communicate project requirements and expectations with stakeholders - migrate data pipelines from ADF to Azure Synapse, Databricks and Azure FunctionsUsed technologies/ tooling:Docker, Azure Cloud: Databricks, Data Factory, Synapse, EventGrid, SQL Server, Azure Functions, Great Expectations, pyspark, time series forecast
Ml Instructor
Ai Engineer
Security Lab - the team was responsible for establishing security monitoring and thread detection of Samsung Smart TVs. We provided software updates, collected and analysed device logs, searched for malicious behaviour.Responsibilities:- design and implement micro-services architecture for a streaming platform in Apache Flink- lead migration to streaming architecture: create a roadmap, decide on technologies, distribute tasks over team, communicate with stakeholders- develop an ML anomaly detection model for malicious behaviour recognition using NLP- develop services for data scrapping, aggregation and analysis in NodeJS, REST API and in Scala, Apache Flink- mentorship, organise a bootcampUsed technologies/ tooling:RabbitMQ, Apache Flink, ML algorithms for clustering and dimension reduction and time series forecasting, NLP, Scala, Docker, Python, NodeJS, API, pre-commit, git hooks, MongoDB, PostgreSQL
Data Scientist
Healthcare Innovation Lab - research and development healthcare- and fitness-related software for portable devices(smart watches, smart glasses) and corresponding apps on phones, TVs.Responsibilities:• create Neural networks for predicting sleep phases and apnea • classify physical activity by video (Computer Vision)• classify physical activity signal data of smart watches (Time Series forecasting)• research and development• paper publication
Colleagues at Elastic
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Ria Montibon
Colleague at ElasticHong Kong Sar, Hong Kong
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An So
Colleague at ElasticAthens, Attiki, Greece
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Pooja Kachawaha
Colleague at ElasticBengaluru, Karnataka, India
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David Sánchez Soler
Colleague at ElasticGirona, Catalonia, Spain
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Ivory Contreras
Colleague at ElasticEmporia, Kansas, United States
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Kim Debner
Colleague at ElasticDripping Springs, Texas, United States
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Andre Murbach Maidl
Colleague at ElasticCuritiba, Paraná, Brazil
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Quentin Herreros
Colleague at ElasticLyon, Auvergne-Rhône-Alpes, France
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Swati Rewri
Colleague at ElasticGurugram, Haryana, India
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Coleman Williford
Colleague at ElasticWilmington, North Carolina, United States
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Nastia Havriushenko education
Master'S Degree
Master'S Degree
Education record
Bachelor'S Degree
Frequently asked questions about Nastia Havriushenko
Quick answers generated from the profile data available on this page.
What company does Nastia Havriushenko work for?
Nastia Havriushenko works for Elastic.
What is Nastia Havriushenko's role at Elastic?
Nastia Havriushenko is listed as Senior AI Research Engineer at Elastic.
Where is Nastia Havriushenko based?
Nastia Havriushenko is based in Amsterdam, North Holland, Netherlands while working with Elastic.
What companies has Nastia Havriushenko worked for?
Nastia Havriushenko has worked for Elastic, Linkit, Klm Royal Dutch Airlines, Grid Dynamics, and Spar Holding Netherlands.
Who are Nastia Havriushenko's colleagues at Elastic?
Nastia Havriushenko's colleagues at Elastic include Ria Montibon, An So, Pooja Kachawaha, David Sánchez Soler, and Ivory Contreras.
How can I contact Nastia Havriushenko?
You can use AeroLeads to view verified contact signals for Nastia Havriushenko at Elastic, including work email, phone, and LinkedIn data when available.
What schools did Nastia Havriushenko attend?
Nastia Havriushenko holds Master'S Degree from Taras Shevchenko National University Of Kyiv.
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