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Level
Middle
Experience
8 years
Location
Ireland
English
C1
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Mark

MLOps Engineer

Mark is a Machine Learning Engineer with 8+ years of experience across fintech, trading, web3, and e-commerce. He specializes in building LLM-based pipelines, RAG and agentic workflows, and PEFT techniques like QLoRA. Mark has a proven record of delivering MLOps infrastructures, context-aware AI systems, and robust real-time data processing on AWS. With deep expertise in transformer models, reinforcement learning environments, and end-to-end ML lifecycle automation, he brings a blend of hands-on engineering and AI research into production.

Main expertise

Python
Rust
Java
JavaScript
Pytorch
TensorFlow
LangChain
React.js
Node.js
Django
FastAPI

Other skills

MLflow Kubeflow FastAPI Kafka AWS SageMaker RAG Spark PostgreSQL

Employment

  1. AI | Blockchain Engineer
    2025-04 – 2023-03
    Mark led the design of scalable MLOps pipelines using MLflow and Kubeflow on AWS EKS, and built a RAG pipeline for a crypto trading AI agent. He created a Model Context Protocol infrastructure to enable real-time model coordination, implemented trading agents in OpenAI Gym with DPO, and fine-tuned LLMs using AWS SageMaker.
    MLflow, Kubeflow, FastAPI, Kafka, AWS SageMaker, RAG, LSTM, Prophet, ARIMA, ETL, Airflow, Spark
  2. Machine Learning Engineer
    2023-02 – 2020-09
    Mark improved recommendation systems using vector search and Elasticsearch, increasing engagement by 15%. He fine-tuned CLIP for product classification, implemented SageMaker pipelines for fraud detection using NLP on customer chats, and deployed client-side ML with TensorRT and Firebase.
    Elasticsearch, CLIP, SageMaker, TensorRT, Tableau, SQL, A/B Testing
  3. AI Software Engineer
    2020-08 – 2019-04

    Mark launched an AWS-hosted e-commerce platform with multiple API integrations. He deployed TensorFlow Lite models, streamlined data pipelines, and reduced model deployment time by 30% with MLflow integration.
    AWS, MLflow, TensorFlow Lite, Django, React, API Integration

  4. Full Stack Developer
    2019-04 – 2018-01
    Mark built SaaS platforms and payment systems using NestJS and GraphQL, deploying them to GKE with GitLab CI/CD. He also developed component libraries, maintained full-stack codebases, and enforced testing with Jest, Mocha, and Cypress.
    NestJS, GraphQL, React, Node.js, GitLab CI/CD, Docker, AWS Lambda, ECS, ECR

Education

  • Master’s Degree in Computer Science
    Technological University Dublin