Open to opportunities

Mark Kennedy

@markkennedy1

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Passionate Machine Learning Engineer with 8+ years of experience.

Ireland

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What I'm looking for

I am looking for a role that fosters innovation, collaboration, and growth opportunities in AI and machine learning.

I am a dedicated Machine Learning Engineer with over 8 years of experience in fintech, trading, blockchain, web3, and e-commerce. My expertise lies in developing LLM-based pipelines, RAG, agentic workflows, and PEFT techniques like QLoRA. I have a proven track record of building scalable, production-grade MLOps pipelines using AWS, which has significantly enhanced model performance, deployment, and monitoring.

Throughout my career, I have successfully implemented the Model Context Protocol (MCP) infrastructure, enabling dynamic, real-time context sharing between models. This has led to more efficient and adaptive AI-driven solutions. My work has included designing robust MLOps pipelines, enhancing AI chatbot performance through prompt engineering, and developing ETL data pipelines for real-time analysis. I am passionate about leveraging technology to drive innovation and improve user experiences.

Experience

Work history, roles, and key accomplishments

AI | Blockchain Engineer

Codiste

Mar 2023 - Present (3 years 3 months)

Designed and developed a robust, scalable MLOps pipeline using MLflow and Kubeflow on an AWS EKS cluster. Implemented a RAG pipeline for a Crypto Trading AI Multi-Agent and integrated a real-time data pipeline.

MLOps MLFlow Kubeflow RAG fastAPI Kafka Spark Apache Airflow

Machine Learning Engineer

Eve Sleep

Sep 2020 - Present (5 years 9 months)

Developed and maintained a vector search-based recommendation system on AWS using Elasticsearch, resulting in a 15% increase in customer engagement and a 12% increase in sales. Fine-tuned CLIP to significantly improve item category and brand prediction accuracy.

AWS Elasticsearch NLP TensorRT Firebase SQL Tableau A B Testing

AI Software Engineer

Capgemini

Apr 2019 - Present (7 years 2 months)

Designed and launched an e-commerce web application on AWS, integrating multiple third-party APIs to enhance product listings, payment processing, and customer support services. Deployed scalable ML models on AWS SageMaker, integrating MLflow for end-to-end lifecycle management and reducing model deployment time by 30%.

AWS API Integration Tensorflow Lite AWS Sagemaker MLFlow data preprocessing

Full Stack Developer

ICPlus

Jan 2018 - Present (8 years 5 months)

Participated in the development of SaaS platforms, an ecosystem, and payment systems using Scrum-based Agile methodology with Test-Driven Development (TDD). Built microservices from scratch using NestJS and GraphQL, and implemented a CI/CD pipeline with GitLab CI/CD, deploying services to GKE in an e-commerce project.

Scrum Agile TDD NestJS GraphQL CI CD Gitlab CI GKE Storybook MERN Stack MEAN stack Docker Terraform Lambda ECS ECR

Education

Degrees, certifications, and relevant coursework

Technological University Dublin

Master's Degree, Computer Science

2012 - 2017

Completed a Master's Degree in Computer Science, gaining advanced knowledge and skills in the field. The program provided a comprehensive understanding of various computer science principles and applications.