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(Aggiornato% updatedDate%)Machine Learning Engineer
Östergötlands län, Sweden
Nativo English, Debuttante Svenska
- Data & Statistical Analysis
- Python, R
- Machine and Deep Learning
Competenze (34)
OBJECT-ORIENTED
DIMENSIONALITY REDUCTION
PANDAS
NEURAL NETWORK
BOOSTING
NEURAL
Deep Learning
Data Analysis
Hadoop
INTEGRATION
MARKETING ANALYSIS
FORECASTING
Data Scientist
NEURAL NETWORKS
DATA ANALYTICS
Machine Learning
Git
Hadoop
INTEGRATOR
PIPELINE
REINFORCEMENT LEARNING
KERAS
NUMPY
SOFTWARE DESIGN
Algorithm
STATISTICS
Python
SQL
SHINY
Spark
DATA MINING
Flask
Django
Solr
Esperienze professionali
Classification of Fuel and Pilot Fuel ratio from stable combustion videos
Siemens
2020-01 - 2020-06
Finspang Jan 2020 - June 2020
* Master thesis with focus on computer vision.
* Multi- task learning with CNN to learn different attributes of stable combustion.
* Classification of Fuel and Pilot Fuel ratio from stable combustion videos.
* Master thesis with focus on computer vision.
* Multi- task learning with CNN to learn different attributes of stable combustion.
* Classification of Fuel and Pilot Fuel ratio from stable combustion videos.
Ericsson
2019-06 - 2020-01
* Development of data acquisition framework
* Automation of feature extraction service
* Exploratory data analysis for optimal compiler transformation
* Benchmarking of various models for Multi-Target Multi-Output including RandomForest, oneVsAll, Classifier Chains
* Developed a neural network for multi-class label prediction to optimize compiler performance.
Tools/Language: R, Python, Keras R, Neural Networks, Multi-class labeling, multi-target multi-class prediction, Linux
* Automation of feature extraction service
* Exploratory data analysis for optimal compiler transformation
* Benchmarking of various models for Multi-Target Multi-Output including RandomForest, oneVsAll, Classifier Chains
* Developed a neural network for multi-class label prediction to optimize compiler performance.
Tools/Language: R, Python, Keras R, Neural Networks, Multi-class labeling, multi-target multi-class prediction, Linux
Backend Developer (Blockchain & AI)
BCDApps (Startup)
2018-04 - 2018-06
Utilizing Apache big data stack, developed a data pipeline to improve the operational efficiency of storing and processing cryptocurrency data by 30%.
Tools/Language: Solidity, Ethereum, Apache Stack [ Hadoop, Kafka, Storm, Spark, MongoDB]
Tools/Language: Solidity, Ethereum, Apache Stack [ Hadoop, Kafka, Storm, Spark, MongoDB]
Technical Consultant (Machine Learning)
Inbox Consulting
2017-03 - 2018-04
The improved thermal efficiency of the industrial polymer purification plant by 8%, utilizing Long-Short term memory
networks based on forecasting and predicting optimal sensor values.
* Increase run length of the furnaces of the polymer purification plants by 5 months using ensemble methods with different models to forecast and recommend optimal temperature preventing coke formation.
* Performed extensive exploratory data analysis for various projects to help solve optimization problems.
* Established coding environment and continuous integration using Git, Docker and Travis CI for machine learning
teams.
Tools/Languages: Python, R, Regression & Classification Analysis, Deep Learning [ LSTM ]
networks based on forecasting and predicting optimal sensor values.
* Increase run length of the furnaces of the polymer purification plants by 5 months using ensemble methods with different models to forecast and recommend optimal temperature preventing coke formation.
* Performed extensive exploratory data analysis for various projects to help solve optimization problems.
* Established coding environment and continuous integration using Git, Docker and Travis CI for machine learning
teams.
Tools/Languages: Python, R, Regression & Classification Analysis, Deep Learning [ LSTM ]
Software Design Engineer
xFlow Research
2016-06 - 2017-01
Reduced setup time for configuring Hugepages and NUMA on Dell JetStream (Dell OpenStack platform) by
automating the configuration process based on user choices.
* Improved productivity of feature testing and reduced testing time consumption by 40% by automating the test suits.
* Worked closely with and provided consultancy to DELL team for the development of NFV features.
Tools/Language: Python, NFV, Virtualization, OpenStack, Dell JetStream, Testing
automating the configuration process based on user choices.
* Improved productivity of feature testing and reduced testing time consumption by 40% by automating the test suits.
* Worked closely with and provided consultancy to DELL team for the development of NFV features.
Tools/Language: Python, NFV, Virtualization, OpenStack, Dell JetStream, Testing
Esperienze formative
Masters of Science
Linköping University
2018-08 - 2020-06
Bachelors of Science
National University of Computer And Emerging Science
2012-08 - 2016-08