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jobs
Experienced Python programmer with special interest in Reinforcement learning
Miklos Kepes
,
London, United Kingdom
Experience
Other titles
Skills
I'm offering
I have extensive experience with Python and its machine learning libraries including Pytorch, Pandas, Scikit-learn, etc and implementing machine learning pipelines including preprocessing, training, and evaluation.
One of my main interests is Reinforcement Learning, as part of my master's project I used Deep Reinforcement Learning for simulated robotics, and I have been working with different algorithms since including Q-learning, DQN, AC, DDPG, PPO.
One of my main interests is Reinforcement Learning, as part of my master's project I used Deep Reinforcement Learning for simulated robotics, and I have been working with different algorithms since including Q-learning, DQN, AC, DDPG, PPO.
Markets
United States
United Kingdom
Links for more
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Industries
Language
English
Fluently
Available
My experience
2018 - 2020
job
Data Scientist/Software Engineer
Babylon Health.
Developed machine learning algorithms combing ontological and distributed representation based approaches (graph neural networks, fasttext, and graph similarity metrics) to model the relationships of medical concepts. Constructed a
test dataset labelled by doctors and built an end-to-end training and evaluation framework. Our paper on this dataset
was accepted by the Coling 2020 conference. As part of my engineering tasks I was responsible for defining health data
representations using the FHIR healthcare data standard. Toolset included Python, Pytorch, Pandas, FastText, Docker,
NetworkX, SQL, Java, Jupyter, MLflow, Streamlit
test dataset labelled by doctors and built an end-to-end training and evaluation framework. Our paper on this dataset
was accepted by the Coling 2020 conference. As part of my engineering tasks I was responsible for defining health data
representations using the FHIR healthcare data standard. Toolset included Python, Pytorch, Pandas, FastText, Docker,
NetworkX, SQL, Java, Jupyter, MLflow, Streamlit
Python, Sql, Java, Machine learning, Docker, Training, Algorithms, Test, Engineering, Neural networks, Health, Software, Framework
2017 - 2018
internship
Data Scientist intern
Arkera.ai.
Responsibilities included building news and investment recommender systems using learning to rank, word2vec, doc2vec
and sequence to sequence models. Designed and implemented significant part of a general deep learning framework in Tensorflow that was used for POS tagging and NER in addition to the recommender system. Toolset included Python,
Pandas, Scikit-learn, Doc2Vec, Jupyter, SQL, Git, AWS.
and sequence to sequence models. Designed and implemented significant part of a general deep learning framework in Tensorflow that was used for POS tagging and NER in addition to the recommender system. Toolset included Python,
Pandas, Scikit-learn, Doc2Vec, Jupyter, SQL, Git, AWS.
Python, Sql, Git, AWS, Deep learning, Tensorflow, Pos, Framework, Internal
2016 - 2016
internship
Quantitative Developer intern
Brevan Howard.
Implemented the client-side of a Java/Groovy based service that simulated manual testing for a trading platform. Built an application to perform post-trade analysis and generate insightful reports and charts for traders.
Java, Manual testing, Service, Groovy, Developer, Testing, Internal, Platform
2015 - 2015
internship
Software Developer Intern
Prezi.
Improved the click-through rate by 15-20% of Prezi's search service by developing a new ranking algorithm using
Elasticsearch and Python.
Elasticsearch and Python.
Python, Elasticsearch, Service, Developer, Software, Search, Internal
My education
2013
-
2017
MEng, Computing and Artificial Intelligence
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