Skills and Expertise

The stack I reach for day to day. AI/ML sits at the centre; the rest is what it takes to get models reliably into production.

AI, Data Science

  • Generative AI
  • LLMs
  • RAG
  • Graph Neural Networks
  • Model Development
  • Supervised Fine-tuning
  • Reinforcement Learning
  • NLP
  • Computer Vision
  • ML Algorithms

Languages

  • Python
  • TypeScript
  • Go
  • C++
  • C#
  • SQL

Frameworks

  • PyTorch
  • Google ADK
  • Deep Agents
  • LangGraph
  • LangChain
  • Django
  • FastAPI
  • React

Data

  • ETL/ELT
  • PGVector / VectorDBs
  • PostgreSQL
  • NoSQL
  • Airflow
  • Snowflake
  • Kafka
  • Terraform

Cloud

  • AWS
  • GCP (Vertex AI)
  • Azure AI Foundry
  • Dataiku DSS

MLOps

  • Model Serving
  • MLflow
  • Weights & Biases
  • LangFuse

Specialised tools

  • Unreal Engine
  • Unity
  • MediaPipe
  • OpenCV
  • OpenXR