SECTION 05 / 06

Skills.

Languages, libraries, and infrastructure I work with.

01 / TOOLKIT

LLM SYSTEMS

Agentic reasoning, retrieval, and multi-agent applications.

  • Agentic workflows
  • RAG
  • Reasoning models
  • Multi-agent systems
  • Prompt engineering
  • PydanticAI
  • DSPy
  • LangChain
  • FAISS
02 / TOOLKIT

EVALUATION

Routing, benchmarking, and evaluating LLM and voice-agent pipelines.

  • LLM evaluation
  • RAGAS
  • Langfuse
  • LiteLLM
  • LLM-as-judge evaluation
  • Model evaluation & optimization
03 / TOOLKIT

ML / DL

Training and applying models to language, vision, and predictive tasks.

  • PyTorch
  • TensorFlow
  • Transformers
  • JAX (familiar)
  • SVM
  • Regression
  • Tree-based models
  • Clustering
04 / TOOLKIT

BACKEND

Services, workflow orchestration, and data infrastructure.

  • Python
  • Go
  • FastAPI
  • Django
  • Flask
  • Node.js
  • Temporal
  • Postgres
  • SQL
05 / TOOLKIT

PRODUCTION AI

Long-context inference and real-time enterprise integrations.

  • GPU inference (H100)
  • Long-context pipelines
  • Data residency
  • SOC 2 requirements
  • Real-time systems
  • Genesys AudioHook
  • Dynamics 365
06 / TOOLKIT

DELIVERY

Deploying and operating systems throughout the development lifecycle.

  • Docker
  • Kubernetes
  • CI/CD
  • Git
  • Agile / Scrum
  • React.js
  • Firebase
  • AI-900: Microsoft Azure AI Fundamentals
  • Deep Learning: Getting Started
  • NLP with TensorFlow
  • AI Foundations: Thinking Machines
  • ML Foundations: Linear Algebra
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