Jack Doyle

About

Senior AI Agent Engineer with experience building production-grade Generative AI, multi-agent, RAG, MLOps, and LLM automation systems across enterprise, healthcare, e-commerce, and Web3 domains. Strong in translating AI research into scalable products using LangGraph, LangChain, FastAPI, vector databases, MCP, and AWS-based MLOps tooling.

Experience

• AI Agent Architect & ML Engineer
  Tiger Analytics
  May 2023 – Apr 2026
• Data & Al Engineer
  Mercari
  Jul 2021 – May 2023
• Al & Web3 Engineer
  Token Metrics
  Apr 2019 – Jul 2021
• Full Stack Developer
  Cloudera
  May 2017 – Mar 2019

Education

• Master of Science
  TU Dublin
  Applied Data Science · Apr 2011 – Apr 2017

Skills

• SQL <3 months
• Deep Learning <3 months
• GitHub <3 months
• Blockchain <3 months
• Python <3 months
• Data Science <3 months
• AWS Lambda <3 months
• React <3 months
• TensorFlow <3 months
• AWS <3 months
• Docker <3 months
• Apache Spark <3 months
• Kubernetes <3 months
• LangChain <3 months
• Terraform <3 months
• PySpark <3 months
• Snowflake <3 months
• ETL <3 months
• A/B Testing <3 months
• MLOps <3 months
• Natural Language Processing <3 months
• Apache Airflow <3 months
• RAG <3 months
• AWS SageMaker <3 months
• Large Language Models <3 months
• Big Data <3 months
• Kafka <3 months
• Elasticsearch <3 months
• GitHub Actions <3 months
• Agent Workflows <3 months
• MLflow <3 months
• Monitoring Tools <3 months
• ARIMA <3 months
• Google Firebase <3 months
• Serverless <3 months
• Decentralized Finance (DeFi) <3 months

Courses & certifications

• AWS Academy Graduate - AWS Academy Cloud Foundations · Amazon Web Service
• Intro to Python for Data Science Course · DataCamp
• Building Batch Data Pipelines on Google Cloud · Google Cloud Skills Boost
• Google Cloud Big Data and Machine Learning Fundamentals · Google Cloud Skills Boost
• Python for Data Science · Udemey