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Designs and evolves a corporate Lakehouse platform on OpenShift for Spark and Flink, ensuring security and reliability while profiling batch and streaming workloads.
Researcher to design and run ablation experiments that shape the pretraining data mix for a frontier LLM, turning hypotheses into measurable gains on public benchmarks.
Engineer secures corporate IT systems by configuring VPNs, firewalls, and email infrastructure, monitoring threats, and advising staff on safe practices.
Build and maintain CI/CD pipelines and cloud infrastructure for an AI-model development platform in Sberbank’s ecosystem, using Kubernetes, Helm, and DevSecOps practices.
Build and improve deep-learning models to detect audio deepfakes, using PyTorch and modern audio feature pipelines like spectrograms and wavelets.
Build and deploy AI agents and LLM applications that integrate into sales workflows, using Python, LangChain/LangGraph, and microservices to drive measurable revenue gains.
QA engineer builds and runs automated tests for a talent-management AI platform, covering web, backend, and AI agents using Python, REST/gRPC, Kafka, and PostgreSQL.
Leads a research and development team building AI-driven banking assistants and machine learning solutions that directly impact Sber’s sales processes and customer experience.
Designs and implements a high-performance Lakehouse data platform for a large bank, focusing on distributed compute (Spark/Flink) and storage (S3) across 10,000+ servers.
Leads a Data Science & AI team in Bangalore to build and scale AI-native products for Sber’s India business, from strategy to production, using ML, LLMs, and agentic systems.
Leads a data science and AI team in India to build and deploy AI-native products for Sber’s business goals, including LLMs, recommendation systems, and agentic workflows.
Leads AI transformation for a bank’s Global Markets division, building AI teams, driving R&D, and embedding AI workflows across trading, sales, and risk functions using generative AI and ML technologies.
Designs and refines requirements for a process-mining platform that uses AI/BI to analyze business workflows, uncover inefficiencies, and recommend improvements.
Analyzes and formalizes business requirements for budgeting products built on an open-source EPM platform, collaborating with teams to design data models, integrations, and low-code configurations using React, Python, Java, and SQL.
Develops and optimizes a large-scale web-crawling system in Python to feed AI training data, focusing on async I/O, sharding, and distributed architecture.
Lead a data science team to enhance Sberbank Online’s AI Assistant by integrating LLM-powered search, optimizing models, and driving product strategy with production-grade MLOps.
Lead Python developer designs high-performance ETL pipelines with Apache Spark and builds microservices using FastAPI/Django, integrating LLM models into business logic while managing a small team.
Senior Java developer builds and maintains Spring Boot microservices for a cybersecurity product that protects documents and analyzes data leaks, using Java 17+, Kafka, PostgreSQL, and AI tools.
Senior Data Scientist builds time-series and tabular ML models to forecast deposit elasticity and loan prepayments for corporate clients, using Python, PySpark, and ML libraries.
Senior Java developer builds and maintains server-side applications with REST APIs, integrates banking systems, and designs microservices using Spring, PostgreSQL, and Kafka in a hybrid work setup.
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