Sergey K.

Hi all, I am a Senior AI Engineer experienced in building AI-powered applications, LLM-based systems, AI agents, RAG pipelines, ML workflows, data processing systems, and business process automation using Python. I work across the AI engineering stack, including LLM integration, agent orchestration, RAG, embeddings, data pipelines, model integration, API development, workflow automation, and production AI services. Please check below more details about some of my projects. AI-powered data and metadata enrichment platform — worked on an AI-powered data platform for automatically generating business context and metadata for customer datasets. Designed and implemented Python-based data processing and AI enrichment pipelines, integrated LLM capabilities, and automated metadata processing workflows. Used Python, AWS Bedrock, OpenMetadata, Airflow, PostgreSQL, Snowflake, dbt, Pandas, NumPy. AI Agents and automation — developed AI-powered agents and automated workflows for executing tasks, interacting with external services, and integrating LLMs into business processes. Worked with agent orchestration, tool calling, structured outputs, API integrations, and workflow automation. Used Python, LangChain, LangGraph, OpenAI, Anthropic, FastAPI, n8n, Redis. RAG / knowledge-based AI systems — developed Python-based RAG pipelines for processing external knowledge and generating context-aware responses. Implemented document ingestion, text processing, chunking, embeddings, vector search, retrieval, reranking, and LLM-based generation. Used Python, LangChain, PostgreSQL, pgvector, ChromaDB, OpenAI, embeddings, Cross-Encoder models. AI-powered mental health platform — worked on an AI-powered conversational platform, integrating AI capabilities into a production application. Contributed to AI services, LLM/API integration, conversational workflows, data processing, and backend functionality. Used Python, LLM APIs, FastAPI, PostgreSQL, Redis. AI video and image generation platform — worked on an AI-powered media generation platform integrating generative AI models into automated content generation workflows. Contributed to model integration, generation pipelines, API services, and backend processing. Used Python, generative AI models, PyTorch, FastAPI, PostgreSQL, Supabase. Data engineering and ETL/ELT pipelines — designed and implemented Python-based data pipelines for collecting, transforming, validating, and enriching data from multiple sources. Worked with batch and event-driven processing, workflow orchestration, data transformation, and analytical data platforms. Used Python, Pandas, NumPy, Airflow, Kafka, dbt, Snowflake, BigQuery, PostgreSQL. AI automation workflows — built automated workflows connecting LLMs, APIs, databases, and external services to automate repetitive business processes. Implemented data processing, API integrations, event-driven workflows, and AI-powered automation. Used Python, n8n, FastAPI, REST APIs, webhooks, PostgreSQL, Redis. Healthcare automation and testing — worked on a major US HIPAA-compliant healthcare communication platform, contributing to Python-based automated testing and backend-related functionality. Used Python, Playwright, AWS, PostgreSQL.