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.

• Artificial Intelligence and Machine Learning

  AI planning (symbolic), Agent Brain Trust, Agent-native architecture, Agentic AI/LLMs, ChatGPT, Claude Code, Claude.ai, Cursor.sh, Custom GPTs, DeepSeek, Dialectic prompting, Google Colab, Google Gemini, MCP (Model Context Protocol), NotebookLM, OpenAI APIs, Perplexity, Prompt Engineering, PyTorch, Tensorflow, Vector Symbolic Architectures, WebLLM, oLLAMA, production-rule systems, statistical methods, synthetic data generation.

• Methodologies

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

• Architectures

  Bloom / CALM, C4, Curry–Howard correspondence, Distributed architectures, Lazy typing, Monotonic reasoning, Relational programming, Stratified reasoning, Type-level programming, Value semantics, data-driven architectures, event/streaming architectures, micro-service architectures, propagator networks, serverless architectures.

• Compliance

  GDPR, PCI DSS.

• Additional Tools

  Figma, Notion, PostHog.

• Knowledge Engineering

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