Open to opportunities

Mark Kennedy

@markkennedy

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Passionate Machine Learning Engineer with over 8 years of experience.

Ireland

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my machine learning expertise to drive impactful projects and contribute to a forward-thinking team.

I am a Machine Learning Engineer with over 8 years of experience, specializing in developing and deploying advanced machine learning models across various industries, including fintech, trading, web3, and e-commerce. My expertise lies in designing LLM-based pipelines and implementing cutting-edge techniques such as Retrieval-Augmented Generation (RAG) and parameter-efficient fine-tuning methods like LoRA and QLoRA. I have a proven track record of enhancing recommendation systems and driving user engagement through innovative solutions.

Throughout my career, I have built scalable MLOps pipelines on platforms like AWS, ensuring robust model training, deployment, and monitoring. My experience includes developing a virtual environment for reinforcement learning, creating real-time data pipelines, and implementing machine learning models that significantly improve business outcomes. I thrive in collaborative environments and am dedicated to leveraging my skills to solve complex problems and deliver impactful results.

Experience

Work history, roles, and key accomplishments

AI|Blockchain Engineer

Codiste

Mar 2023 - Apr 2025 (2 years 1 month)

Built a virtual environment using OpenAI Gym for reinforcement learning and implemented Direct Preference Optimization (DPO) to enhance LLM accuracy. Designed and developed a robust, scalable MLOps pipeline using MLflow and Kubeflow on an AWS EKS cluster, and implemented a RAG pipeline for a Crypto Trading AI Agent. Built an ETL data pipeline for DeFi protocols using Apache Airflow, Kafka, and Spa

LLM MLOps MLFlow Kubeflow Apache Airflow Kafka Spark ETL

Machine Learning Engineer

EveSleep

Sep 2020 - Feb 2023 (2 years 5 months)

Developed and maintained a vector search-based recommendation system on AWS using Elasticsearch, resulting in an 15% increase in customer engagement and a 12% increase in sales. Built the infrastructure on AWS for fraudulent transaction detection in the payment service, leveraging NLP-based cancel detection from customer chat messages. Conducted Neural Architecture Search (NAS) to automate multi-m

AWS Elasticsearch Recommendation Systems NLP Fraud Detection TensorRT SQL Tableau

AI Software Engineer

Capgemini

Apr 2019 - Aug 2020 (1 year 4 months)

Designed and launched a healthcare web application on AWS, integrating multiple third-party APIs to deliver medical support and diagnostics services. Gained extensive experience in developing and maintaining complex third-party API integrations, optimizing application performance through code refactoring and database query optimization. Deployed scalable ML models on Azure ML Studio and AWS SageMa

AWS AWS Sagemaker MLFlow API Integration Web Application Development Performance Optimization

Full Stack Developer

ICPlus

Jan 2018 - Apr 2019 (1 year 3 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. Maintained both frontend and backend codebases for four e-commerce websites, han

Microservices NestJS GraphQL CI CD Gitlab CI GKE MERN Stack Docker Terraform

Education

Degrees, certifications, and relevant coursework

Technological University Dublin

Master's Degree, Computer Science

Undertook advanced studies in Computer Science, focusing on theoretical and practical aspects of the field. Engaged in research projects and specialized coursework to deepen understanding of complex computing concepts.