Jakub Hutko

Senior AI Engineer

Netguru

May 2024 - Current (2 years)

Designed, implemented, and shipped AI agent workflows for business operations including customer support automation and internal knowledge systems using LangGraph, LangChain Agents, AutoGen, and CrewAl. Built production-grade RAG pipelines combining vector retrieval, hybrid search, reranking, grounding, and structured outputs, significantly reducing hallucinations and improving answer accuracy across enterprise knowledge bases. Established LLM evaluation frameworks with automated benchmarks, regression testing, and qualitative scoring to ensure consistent behavior during model upgrades and provider changes. Operationalized Generative AI systems using MLOps best practices, including model versioning, prompt version control, canary deployment

Senior Data Engineer

Automattic

Jan 2022 - Apr 2024 (2 years 4 months)

Designed and optimized large-scale data pipelines using Apache Spark, SQL, Kafka, and distributed storage, improving data freshness and reliability for analytics and reporting. Implemented streaming ingestion systems for event data and operational metrics, enabling near real-time dashboards and faster incident detection. Integrated AI-assisted data tooling, including LLM-powered metadata search, schema explainers, and automated data quality triage, reducing investigation time for pipeline failures. Improved system observability using ELK-style logging, metrics, and alerting, significantly reducing mean time to resolution (MTTR). Collaborated with product analytics and engineering teams to define data contracts, KPIs, and reporting pipelines

Senior Software Engineer

GitLab

Sep 2020 - Dec 2021 (1 year 4 months)

Delivered high-quality, production-ready web features using React, Next.js, and TypeScript, emphasizing performance, accessibility, and maintainable UI patterns. Built GraphQL APIs and Node.js services, improving API consistency and frontend iteration speed. Strengthened CI/CD pipelines with unit and end-to-end testing (Jest, Cypress), reducing regressions and increasing release confidence. Containerized services using Docker and supported deployments on Kubernetes, improving environment parity and developer experience. Optimized MongoDB queries and indexing for high-traffic applications, reducing latency during peak usage.

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Backend Engineer

Nice Cognigy

Jun 2018 - Aug 2020 (2 years 3 months)

Developed backend microservices using Java and Spring Boot, delivering robust REST APIs for AI-driven conversational automation platforms. Designed and implemented secure authentication and authorization mechanisms, improving compliance and reducing security risks. Tuned PostgreSQL performance through indexing, query optimization, and disciplined schema migrations. Integrated LLM capabilities into backend services, including provider abstraction layers, prompt routing, and structured response handling. Supported Angular-based internal tools for configuration and operational dashboards, improving usability for non-technical users.

Full-Stack Engineer

Allegro

Feb 2016 - May 2018 (2 years 4 months)

Delivered full-stack web applications using PHP (Laravel) and Vue.js, accelerating feature delivery for client-facing systems. Built RESTful APIs and integrated them with responsive UIs, improving usability and reducing manual workflows. Developed .NET (C#) components for internal services and system integrations. Designed and maintained MySQL schemas, applying indexing and migration best practices to improve performance and data integrity. Strengthened authentication and session management using JWT-based security flows.

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