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Applied AI Engineer
Applied AI Engineer at TensorX who reduced inference costs by 37% and median latency by 29%.
PolandApplied AI Engineer at TensorX
Led applied research and production engineering for conversational AI systems, improving inference efficiency and reducing costs. Architected production AI applications and RAG pipelines, contributing to significant reductions in manual workloads and regressions.
PythonPyTorchTransformersLang ChainOpenAIAzure OpenAIAnthropic: ClaudeAWSfastAPIDjangoRAGPgvectorKubernetesTerraformArgoCDAzureGCP
Pursued a Bachelor's Degree in Computer Science from 2021 to 2023.
Pursued a Bachelor's Degree in Computer Science from 2021 to 2023.
Bachelor's Degree in Computer Science from the University of Warsaw, completed in 2015.
Bachelor's Degree in Computer Science from the University of Warsaw, completed in 2015.
Built and deployed production-grade LLM applications, RAG systems, and AI agents using Python, LangChain, LangGraph, and vector databases. Designed scalable AI services and implemented LLM evaluation frameworks, guardrails, and monitoring.
PythonLang ChainLangGraphVector DatabasesRAGAI AgentsfastAPIPostgreSQLRedisDockerCI CDLLM EvaluationGuardRailsMonitoring
Built and deployed an end-to-end automated ML pipeline supporting Bloomberg's core Search product. Re-engineered a complex 15-step manual ML process into a one-click automated workflow, increasing retraining frequency and improving reliability.
Machine LearningAirflowPythonML PipelinesAutomationMonitoringValidationSearchRanking
Contributed to the development of AI-powered applications and LLM features using Python, OpenAI APIs, LangChain, and FastAPI. Built and tested RAG pipelines and optimized prompts for LLM-powered features.
PythonOpenAI APILang ChainfastAPIRAGPrompt EngineeringVector DatabasesSemantic SearchREST APIs
Developed and maintained web applications and REST APIs using JavaScript, React, Node.js, and Python. Built new features, resolved bugs, and improved performance and reliability.
JavaScriptReactNodeJSPythonSQLGitREST APIsAgile Development
Developed production Python applications integrating machine learning models, LLMs, and enterprise data sources. Built conversational AI applications and retrieval pipelines, improving retrieval relevance and production reliability.
PythonLang ChainOpenAIAnthropicEmbeddingsPgvectorOCRPDF ParsingCeleryRedisPytestDockerKubernetesTerraformAWSGCPPrometheusGrafanaOpenTelemetry
Developed Python and SQL pipelines for data ingestion and preparation for machine learning applications. Built preprocessing workflows and customer behavior models, improving data completeness and targeting precision.
PythonSQLPySparkscikit learnAirflowData ValidationData Lineage
Developed Python and Scikit-learn pipelines for multilingual financial document classification and automated information extraction. Improved extraction reliability and reduced manual processing effort through data preprocessing and automation.
Pythonscikit learnOCRPostgreSQLETLBASHLinuxData Quality
Profile sourced from Himalayas.