Alexey Grigorev

CV

A software engineer with focus on machine learning. I bring data science ideas from early prototypes to production. This includes problem identification, data collection, model creation, deployment and maintanance.

Summary:

• Software Engineering, 10 years
• Machine Learning and Data Science, 6 years
• Proficient in Python and Java
• Quick prototyping skills
• Experience in running production systems
• Research experience in academic settings
• Mentoring and leadership experience
• Books author, technical reviewer and speaker
• Kaggle master and competition winner
• Open source contributor

Contact information and links:

• +49 177 490 5706, alexey.s.grigoriev [@] gmail.com
• linkedin: http://www.linkedin.com/in/agrigorev
• github: https://github.com/alexeygrigorev
• google scholar: https://scholar.google.com/citations?user=xT1V5UwAAAAJ
• kaggle: https://www.kaggle.com/agrigorev

PROFESSIONAL EXPERIENCE

10.2018 — …
OLX Group, Berlin, Germany
Position: Lead Data Scientist (promoted from Senior Data Scientist)

OLX is a global online marketplace. At OLX I lead the effort on several projects, including

• Duplicate detection system processing 95% of OLX images - up to 250 images per second
• Infrastructure for serving image models processing up to 200 images per second

Technologies:
Python, AWS, Docker, Kubernetes, Terraform

08.2017 — 08.2018
Simplaex, Berlin, Germany
Position: Data Scientist/Engineer

Simplaex is an adtech company in the RTB space with two products: demand-side campaign optimization and supply-side yield optimization. At Simplaex I designed, developed and maintained the ML infrastructure for processing 3+ bln events per day with 100+ mln unique daily users. Also, I was involved in several projects, including

• User profiling, gender and age classification
• Funnel modeling: predicting the probability of click, install, and payment

Technologies:
Scala, Python, Spark & PySpark, AWS, Luigi, Docker, JavaScript

Summary of prior experience:

• 2015 – 2017, Searchmetrics – Data Scientist – Berlin, Germany
• 2015 – 2015, DIMA Group at TU Berlin – Research Assistant – Berlin, Germany
• 2013 – 2014, Small Software Factory – Data Scientist – Remote
• 2012 – 2013, UBS via Luxoft – Java – Poland
• 2011 – 2012, Intech for Tele2 – Java – Russia
• 2011 – 2012, Open source project JTalks.org – Team Lead (Java)
• 2010 – 2011, Amazon Robotics via Auriga – Java – Russia
• 2010 – 2010, Boston University, Cognitive Neuroscience Lab – Research Assistant – USA
• 2007 – 2008, FESA, Mathematical Simulations Lab – Research Assistant – Russia

PUBLICATIONS & PROJECTS

Books:

• Mastering Java for Data Science, 2017.
• TensorFlow Deep Learning Projects, 2018.

Papers:

• Moritz Schubotz, Alexey Grigorev, and others. Semantification of Identifiers in Mathematics for Better Math Information Retrieval. SIGIR ‘16. (DOI)
• Alexey Grigorev. Large-Scale Vandalism Detection with Linear Classifiers. WSDM Cup 2017 Notebook Papers. (pdf)

Competitions:

• Home Depot Product Search Relevance (top 100)
• Avito Duplicate Ads Detection (top 10)
• CIKM Cup 2016 Track 1: Cross-Device Linking (top 10)
• WSDM Cup 2017: Vandalism Detection (2nd place)
• Outbrain Click Prediction (top 15)
• Unpossibly Instagram Challenge (1st place)
• Growing Instability: Classifying Crisis Reports (top 10)
• Clickbait Challenge (3rd place)
• NIPS’17 Criteo Ad Placement Challenge (1st place)

EDUCATION

2013 – 2015, IT4BI Master Program
Joint Master program by ULB (Belgium), UFRT (France) and TU Berlin (Germany)
Specialization: Large-Scale Business Intelligence

2006 – 2010, Far Eastern State Academy
Department: Faculty of Mathematics, Information Technologies and Engineering
Specialization: Information Systems and Technologies