COMMUNITYAskapro

Marketplace Rating and Logistics Optimization

  • Developed a search robot for products, increasing cold client conversions by 4%.
  • Created a report monitoring system for item positions for clients.
  • Developed an advanced route-planning algorithm for courier logistics, increasing daily pickup points by 13%.
  • Added generation of invoices for product stock, improving product acceptance process speed and accuracy by 15%.
Andrey worked on this case as the ML engineer at WBprod.
ML engineer
Search Algorithms
Logistics Optimization
E-Commerce
Global
Growth
Marketplace Platform
PostgreSQL
Python
FastAPI
Docker
B2B
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Andrey

Machine Learning Engineer at Yandex Zen

Andrey's cases
Natural Language Processing
Recommendation Systems
Entertainment
Global
Growth
Web App
Python
Advanced Multi-Document Summarization and User Engagement Enhancement
  • Engineered a SOTA multi-document summarization model for news aggregation, achieving an 87% human acceptance rate with less than 1% critical errors.
  • Designed automated news timelines for evolving events, resulting in a 2.8% increase in content depth and a 1.4% boost in user time spent.
  • Optimized ranking algorithms with a CTR prediction model, increasing daily active users by 4.3% and user engagement by 2.1%.
  • Created a novel similarity scoring formula, improving F1-score from 0.91 to 0.95 for news clustering.
Natural Language Processing
Data Processing
Artificial Intelligence
Global
Research and Development
Data Pipeline
Python
Large-Scale Text Corpus Deduplication and Dataset Enhancement
  • Developed and deployed text corpus deduplication using a suffix array algorithm on MapReduce, boosting assessor F1-score from 0.77 to 0.82.
  • Trained a classifier to improve benchmark coverage, enhancing dataset relevance for pretraining tasks.
  • Created a dataset augmentation pipeline with Back Translation, increasing pretraining robustness and generalization.
  • Enhanced document parsing quality, resulting in 3% faster model convergence and improved resource efficiency.
Programming Languages
Compiler Development
Technology
Global
Research and Development
Compiler
Python
C to Eolang Compiler Development
  • Implemented processing of all basic data types from Clang AST to equivalent constructions in Eolang.
  • Developed a mechanism for translating multidimensional arrays to Eolang.
  • Developed a mechanism for translating Enum types to Eolang.
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Similar cases

Search Algorithms
Logistics Optimization
E-Commerce
Global
Growth
Marketplace Platform
PostgreSQL
Marketplace Rating and Logistics Optimization
  • Developed a search robot for products, increasing cold client conversions by 4%.
  • Created a report monitoring system for item positions for clients.
  • Developed an advanced route-planning algorithm for courier logistics, increasing daily pickup points by 13%.
  • Added generation of invoices for product stock, improving product acceptance process speed and accuracy by 15%.
Natural Language Processing
Recommendation Systems
Entertainment
Global
Growth
Web App
Python
Advanced Multi-Document Summarization and User Engagement Enhancement
  • Engineered a SOTA multi-document summarization model for news aggregation, achieving an 87% human acceptance rate with less than 1% critical errors.
  • Designed automated news timelines for evolving events, resulting in a 2.8% increase in content depth and a 1.4% boost in user time spent.
  • Optimized ranking algorithms with a CTR prediction model, increasing daily active users by 4.3% and user engagement by 2.1%.
  • Created a novel similarity scoring formula, improving F1-score from 0.91 to 0.95 for news clustering.
DevOps Architecture
Identity & Access Management
Kubernetes
Infrastructure as Code
EdTech
SaaS
Global
Scaling and Securing an EdTech Platform with Kubernetes
  • Replaced legacy VM infrastructure with Kubernetes clusters, reducing infra costs by 30% and improving uptime.
  • Designed and rolled out a standardised IAM system using self-hosted Keycloak to decouple from third-party providers.
  • Managed distributed bare-metal NoSQL databases for fast-changing data, cutting storage costs by 50%.
  • Supported a rapidly growing codebase with 30+ sub-projects through modular cloud-native architecture.
Chatbots
Backend Development
Database Management
Rendering
SaaS
Global
Growth
Client Support & Backend Workflows Automation

  • Built and maintained backend modules for a rendering SaaS using Python.

  • Developed a chatbot to automate communication between technical support and clients.

  • Managed and optimised MariaDB and PostgreSQL databases for internal tools.

Machine learning
Recommendation Systems
Predictive Modelling
SaaS
Global
Rendering Job Management Suite
PostgreSQL
Improved Forecasting with Predictive Models

  • Collected and preprocessed data to build a time prediction model that improved the accuracy of rendering job estimates.

  • Designed and implemented a visual predictive model using synthetic data for internal research.

  • Built a sentiment analysis tool to assess user feedback and created a recommendation system based on user behaviour patterns.

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