AI Engineer • Computer Vision • NLP • LLMs/VLMs

Skills at a glance

AI Engineering • Computer Vision • NLP/Understanding • LLMs/VLMs • ML Engineering

AI Engineering

  • Agentic workflows (tool use, routing, orchestration)
  • Evaluation & guardrails for reliability
  • Productionizing AI features

Computer Vision & OCR

  • Object detection and robustness in real-world conditions
  • OCR pipelines and validation

NLP, LLMs & Vision-Language Models

  • RAG, information extraction, summarization, intent detection
  • VLMs when visual + text context is needed

ML Engineering

  • Training/evaluation pipelines and experiment discipline
  • Packaging, inference optimization, deployment patterns

Systems / Cloud / DevOps

  • GCP, GitHub Actions (CI/CD), Cloudflare
  • Redis, Celery, APIs/integrations

Tooling

  • Claude Code, MCP Servers, GitHub, PyCharm
  • Open-source LLMs