Artem Kustikov

Principal Consultant, AI/DevOps/FullStack Software Developer

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Randstad | freelancermap.at
Vienna ¤ Austria
artem.kustikov@gmail.com ¤ +43 664 9310 6218

Principal consultant and hands-on software architect with 15+ years of experience designing and delivering scalable, cloud-native systems end to end. I lead architecture and engineering across AI/LLM-powered applications, distributed event-driven platforms, and full-stack web products, translating business goals into resilient, well-governed solutions. Core focus areas: Azure-native AI and agent architecture (Azure AI Foundry, LLM agents, RAG and knowledge retrieval, human-in-the-loop workflows, evaluation and observability, MCP), enterprise solution and microservices architecture, infrastructure as code and platform engineering (Terraform, Kubernetes, CI/CD, managed identity and RBAC), cloud infrastructure (Azure, AWS, GCP), and real-time data streaming (Kafka, Flink). I pair technical leadership with deep delivery experience — mentoring teams, driving engineering best practices, and shipping production systems that scale.

Open Source Projects

• docling.rs — High-performance Rust reimplementation of Python Docling, adopted into the official Docling project; converts 30+ document formats (PDF, DOCX, PPTX, XLSX, HTML, EPUB, images, audio) into a unified DoclingDocument for AI/RAG pipelines. Pure-Rust PDF parser with an ONNX layout/TableFormer/OCR stack, Node.js/TypeScript bindings and LangChain integration.
• KateChat — Self-hosted, multi-provider LLM chat platform (open ChatGPT alternative). React/TypeScript frontend with Node.js and Rust backends; integrates AWS Bedrock, OpenAI, and Yandex AI with RAG (Docling), MCP, in-browser Python (Pyodide), and image generation. GraphQL API, WebSocket subscriptions, PostgreSQL/Redis, Docker.

Experience

Stack: Node.js, React, Next.js • Java, Quarkus, Flyway • Python, PydanticAI • PostgreSQL, Cosmos DB, Redis • Apache Kafka, Flink, Confluent • Azure OpenAI, Azure AI Foundry, AWS Bedrock, Langfuse, RAG, MCP, A2A • Terraform, Kubernetes, Helm, Azure DevOps • AWS, Azure

Solution Architect/AI Engineer ¤ Self-service agentic AI platform ¤ 01.2026-09.2026

• Owned end to end a self-service agentic platform where a non-engineer describes an AI agent in chat, gets it back as an editable visual workflow, publishes it, and real inbound traffic runs it over a shared mailbox, embeddable web forms, live phone calls (WebRTC) and cron schedules; agents and model deployments run on Azure AI Foundry and ground answers in its vector stores (upload, ingestion, run-time retrieval — a RAG knowledge layer), reply in the customer’s language, hand results to Salesforce and SAP, and reach customer systems through OAuth2-secured MCP servers with tokens AES-256-GCM-encrypted under a Key Vault data key.
• Designed the architecture: a Next.js portal, Azure Function Apps (dispatcher and executor on PydanticAI over the Azure OpenAI Responses API) and Storage Queues as the only seams between portal, generation bot and runtime — streamed output, retry classification and a Redis-backed human-in-the-loop pause/resume primitive.
• Made it multi-tenant by construction (domain-based tenant resolution, a tenant predicate on every query, a build-failing test for any query that omits it) and shippable either as a shared portal with per-customer branding or as a single-tenant install in the customer’s own Azure subscription; Terraform covers every Azure resource and GitHub Actions with OIDC federated credentials apply it — bootstrap workflow for the state backend, Entra ID app registrations and Key Vault, with customer onboarding reduced to one GitHub Environment plus a tfvars file.

Solution Architect/FullStack ¤ Scheduling, billing and contract platform for concert organisers ¤ 06.2026-09.2026

• Designed and built a multi-tenant platform serving several legally separate companies and event formats: one login supports multiple roles with role-specific features, and every query is scoped through explicit per-company access grants (RBAC) that can be gated on a signed contract.
• End-to-end TypeScript on Bun — GraphQL, Prisma/PostgreSQL, React/Redux/Mantine, Google and Apple OAuth — on AWS ECS Fargate with Terraform/Terragrunt and GitHub Actions; built end to end with Claude Code, from requirements and data model to infrastructure, as a production-scale AI-assisted development case study.

AI/ML Engineer ¤ LLM-as-a-Judge chatbot quality assessor ¤ 04.2026-06.2026

• Built an LLM-as-a-Judge quality layer for customer-facing chatbots: every conversation turn is traced to Langfuse and scored asynchronously by an AWS Bedrock LLM judge combined with coded metrics, surfacing 9 live quality scores (quality, cost, escalation risk) — LLM evaluation and observability designed to plug into any chatbot.

Senior DevOps/FullStack ¤ Web-client for artificial intelligence chatbot system ¤ 01.2025-12.2025

• Develop robust and resilient CI/CD platform with integrated unit and e2e tests (Playwright) and support for feature environments.
• Introduce seamless user authentication and role-based authorization (RBAC) against AWS Cognito.
• Add pluggable AI model support (AWS Bedrock, OpenAI) with RAG, image-processing and code-interpretation plugins; support collaborative chats, workspaces and documents over WebSockets and WebRTC.

Senior Java Developer/DevOps ¤ Unified vehicles data streaming platform ¤ 06.2024-09.2026

• Designed and implemented the Quarkus platform services — a Management API for schemas, data orders, pipelines and provisioning, and a Deployment Service for Kafka topics, ACLs and identity pools on Confluent — integrated with Schema Registry and the customer’s legacy vehicle-data services, with schema validation on ingestion.
• Owned the Flink layer: pipeline persistence on reactive Hibernate/Flyway with automatic restart of failed jobs, a byte-for-byte refactor of the core job, a Redis-backed rules cache, migration tooling (export, rewrite, import, resumable batches) and Cilium/Kyverno/ArgoCD/Helm codification.
• Hardened and scaled the Azure edge: mTLS for consumers, in-app JWT validation behind an off/shadow/enforce switch, managed identity instead of SPN credentials across all environments, and API Management JWT-validation policies; Terraform for five environments including Key Vaults and tfstate RBAC, applied by GitHub Actions on federated credentials with no plaintext tokens.

DevOps Engineer/Senior Developer ¤ Online Sales Forecasting Tool ¤ 01.2024-06.2024

• Refactor API and ML inference microservices in Java (Spring Boot), Python (FastAPI) and R (plumber) for k8s deployment, with a GitHub Actions CI/CD framework. Migrate legacy infrastructure from AWS (RDS and EC2 on CloudFormation) to a private OpenShift cluster with continuous deployment on Helm charts, Tekton triggers and pipelines.

Senior FullStack Developer/DevOps Engineer ¤ Cashier-free store backend/infrastructure ¤ 08.2022-12.2023

• Integrate an external in-store computer vision system into the shopping journey and the payment providers Fiserv, Adyen and PayPal; custom whitelist system to block unsupported payment methods.
• Backend microservices deployment (Azure Kubernetes Service, Terraform, Helm), performance work, Elasticsearch integration and on-site analytics; refactoring incl. distributed DB migrations as k8s jobs with init-containers to avoid conflicts at parallel deployments.

Stack: Node.js (express, restify), ReactJS (TypeScript, redux, lerna, grpc-web), Go lang (GRPC, protobuf), Threedium, Rust, Docker, Kubernetes, Google Cloud Platform, MongoDB, PostgreSQL, Bigtable

Large B2B project in the fashion industry, evaluated as #1 in the US market: integration tasks, a custom ETL engine, and migration of a legacy Ampersand.JS frontend to ReactJS.

• Profiled and optimised Node.js microservices; developed a rich interactive UI for the ETL tool with React Flow, dagre, and GRPC.
• Designed and implemented Box.com and Dropbox connectors for the ETL engine (Go lang); integrated excelize into its XSL processor and upstreamed several fixes.
• Integrated Threedium 3D models with a custom React component.

Participated in 20+ projects including NLP and text mining tool Intellexer.

Stack: Node.js (express), React, Angular, Ext.js, AWS (EC2, ElasticBeanstalk, RDS, CloudFront), MySQL, Redis, MongoDB, .NET (C#/Managed C++), ASP.NET MVC, C++, COM, WinAPI, ActiveMQ, Python.

• Crowdfunding software — B2B platform for local businesses integrating the Dwolla payments service: web client and admin app architecture, CI (Bitbucket Pipelines, AWS CloudFormation) and a Node.js worker for money transfers, interest charges and financial audit.
• Medicine: DICOM/ECG parsing and analysis — universal ECG data loader replacing per-format implementations (Physionet, EFS, ISHNE, HL7), a canvas-based web client for DICOM images (zoom, WL-transformation, measuring) and an ASP.NET MVC/SignalR clinic personnel sync tool.

Stack: .NET, C#, C++, ATL/MFC, JavaScript/AJAX, Java, ColdFusion

Stack: ASP 3.0 (VBScript), JavaScript/AJAX, C#, C++/boost/pthread, Java/Spring, MS SQL Server, Oracle

Computer-aided modeling system for simulation of real industrial robots and their environment: robot kinematics, collision detection and analytical programming. Taught IT courses at BNTU (Computer Networking Fundamentals, Mathematical Fundamentals of Programming of Robots).

Skills

• JavaScript Full Stack: (2002-now) TypeScript, React/redux, Angular, Node.js, Express, Next.js, REST/GraphQL
• DevOps: (2015-now) Docker, Terraform, Kubernetes, AWS, Azure, GCP, Gitlab
• Python: (2008-now) Django, Flask, FastAPI, SQLAlchemy, Celery, NumPy, Pandas, Pytorch, scikit-learn
• Java: (2004-now) Java 1.3/21, JBoss, Tomcat, Spring Framework, Spring Boot, Quarkus, Gradle
• Performed 500+ technical interviews in JavaScript, DevOps, Java, .NET, and Golang

Education

Belarusian National Technical University | Minsk, Belarus 1997-2002 | Computer Science, Robotics

Certifications

• 06.2026: Microsoft AI & ML Engineering
• 01.2026: AWS Generative AI Applications
• 10.2025: Confluent Certified Developer for Apache Kafka
• 05.2024: HashiCorp Certified: Terraform Associate (003)
• 10.2023: AWS Certified Solutions Architect – Associate
• 08.2022: DevOps on AWS
• 04.2017: Machine Learning and Data Analysis from MIPT/Yandex
• 09.2016: MCSA: Web Applications (certificate)
• 02.2013: Microsoft Certified Solutions Developer: Web Applications

Languages

Russian (native) • English (full professional), IELTS 6.5, CEFR B2 • German (professional), OIF Integrationsprüfung B1