IP

Ivaylo Popov

available

Last update: 06.09.2022

Senior Data Scientist / Machine Learning Engineer

Graduation: Management Information Systems, Mannheim, M.Sc.
Hourly-/Daily rates: show
Languages: Bulgarian (Full Professional) | German (Full Professional) | English (Full Professional)

Attachments

CV_IvayloPopov.pdf

Skills

Programming, Python, C/C++, C#, Java, Lua, SQL, Deep learning, computer vision, reinforcement learning, NLP, analytics, Tensorflow, Jupyter, pandas, NumPy, Keras, scikit-learn, Spark, Beam, Cloud, GCP, Kubernetes Engine, Compute Engine, Storage, BigQuery, StackDriver, BigTable, AWS, EC2, S3, ECS, Containers, orchestration, Kubernetes, Docker, MySQL, Redis, Microsoft SQL, Scrum, Kanban, distributed computing, Blockchain, data processing, Machine Learning, Robotic control, anomaly detection, Cloud GPU/TPU, GCP BigQuery, Google, algorithms, Google Cloud infrastructure, scalability, bootstrapping, algorithmic trading, image recognition, low-latency

Project history

02/2017 - Present
Senior Data Scientist
Ocado Technology

Delivered machine learning projects from problem discovery to production for the following applications:

●  Robotic control system using learning from human demonstration

●  Camera-based vehicle damage detection and inspection of warehouse containers

using deep learning

●  Computer vision based product verification and detection

●  Natural language models for chat support

●  Bot failure prediction and anomaly detection using time series models

Developed cloud infrastructure for large-scale data processing, model training and lifecycle management (Kubernetes, Cloud GPU/TPU, GCP BigQuery, Storage, Tensorflow, Beam)

Two patent filings, consultancy of other teams in numerous robotics, computer vision and time series projects.


10/2015 - 02/2017
Senior Machine Learning Engineer
Google

Google DeepMind, UK

Developed a platform for distributed training of reinforcement learning and deep learning
algorithms in Lua/ Torch running on 10K+ machines on Google Cloud infrastructure used by
several groups in the company.
Designed algorithmic changes for improving the data-efficiency and scalability of reinforcement
learning algorithms and achieving state-of-the-art results in dexterous manipulation
benchmarks.
First-author paper submission and a patent filing, "Data-efficient Deep Reinforcement Learning
for Dexterous Manipulation", Popov et al., 2017.
Created techniques for using demonstration data, reward shaping and starting state
exploration bootstrapping.

01/2014 - 09/2015
Senior Data Scientist
Point Ltd

Point Ltd and other (contractor)

Developed deep learning models for time series prediction, algorithmic trading, natural
language processing and image recognition.
Developed pricing and risk models for an innovative real estate equity product for a US
FinTech start-up.

11/2007 - 01/2014
Senior Software Engineer
Quant. Capital Gmbh; GammaDynamics Ltd

Quant. Capital Gmbh, Germany (contractor)
GammaDynamics Ltd, USA (contractor)

Developed derivative pricing, volatility models, a direct market access low-latency market
making platform for Eurex and a global multi-asset trading platform and tools for historical data
analysis and backtesting.

Local Availability

Open to travel worldwide
Profileimage by Ivaylo Popov Senior Data Scientist / Machine Learning Engineer from Sofia Senior Data Scientist / Machine Learning Engineer
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