Professional Skills

• Programming/Domain Specific Languages

  C/C++, Clojure, ClojureScript, Datalog, Java, JavaScript (ES6), Node.js, PHP, Perl, Python, SPARQL, SQL, TypeScript.

• Web and Markup Technologies

  CCXML, CSS, GraphQL, HTML, JSX, Next.js, Pinia, Pug, React, Redux, SVG, Schema.org, Svelte 4, TailwindCSS, VoiceXML, Vue/Nuxt, Vuetify, WebRTC, WebWorkers.

• Databases and Data Management

  Datomic, ElasticSearch, FlureeDB, MongoDB, MySQL/MariaDB, Postgres, Redis.

• Development and Deployment Tools

  AWS, AWS API Gateway, AWS Cognito, AWS DynamoDB, AWS ECR, AWS ECS, AWS EKS, AWS Fargate, AWS Lambda, AWS S3, AWS SNS, AWS SQS, Chromatic, Docker, ESLint, GitHub Actions, Histoire, Kafka, Langium, N8N, NATS, RabbitMQ, SST (Ion), Storybook, Terraform, ZooKeeper.

• AI Theory and Symbolic Methods

  AI planning (symbolic), Vector Symbolic Architectures, production rule systems, statistical methods, synthetic data generation.

• Machine Learning

  Google Colab, PyTorch, Tensorflow.

• AI-Assisted Development

  Agent native architecture, Agentic AI/LLMs, ChatGPT, Claude.ai, Cursor.sh, Custom GPTs, DeepSeek, Google Gemini, MCP (Model Context Protocol), NotebookLM, OpenAI APIs, Perplexity, Prompt Engineering, WebLLM, oLLAMA.

• Methodologies

  Atomic Design, BDD, Design Systems, Domain-Driven Design, Kanban, Lean, SAFe, Scaled Agile, Scrum, TDD.

• System Architectures

  C4, Distributed architectures, data driven architectures, event/streaming architectures, micro service architectures, serverless architectures.

• Type-Level and Theoretical Architectures

  Bloom / CALM, Curry–Howard correspondence, Monotonic reasoning, Relational programming, Type level programming, Value semantics, propagator networks.

• Compliance

  GDPR, PCI DSS.

• Additional Tools

  Figma, Notion, PostHog.

• Knowledge Engineering

  JSON-LD, OWL, RDF, Schema.org, Semantic Web.