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Hi, I’m Aiden Roy, a Senior AI/ML Engineer with 10+ years of experience designing, deploying, and scaling production-grade machine learning systems across cloud-native environments. I specialize in Generative AI, Large Language Models (LLMs), NLP, Computer Vision, MLOps, and building scalable AI APIs that serve millions of users. I enjoy translating research into reliable, high-impact solutions, leading cross-functional initiatives from discovery to production, and collaborating with product and engineering teams to drive measurable business outcomes.…Hi, I’m Aiden Roy, a Senior AI/ML Engineer with 10+ years of experience designing, deploying, and scaling production-grade machine learning systems across cloud-native environments. I specialize in Generative AI, Large Language Models (LLMs), NLP, Computer Vision, MLOps, and building scalable AI APIs that serve millions of users. I enjoy translating research into reliable, high-impact solutions, leading cross-functional initiatives from discovery to production, and collaborating with product and engineering teams to drive measurable business outcomes.

Aiden Roy

AI Engineer, Data Scientist, Full Stack Developer, +2

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Hi, I’m Aiden Roy, a Senior AI/ML Engineer with 10+ years of experience designing, deploying, and scaling production-grade machine learning systems across cloud-native environments. I specialize in Generative AI, Large Language Models (LLMs), NLP, Computer Vision, MLOps, and building scalable AI APIs that serve millions of users. I enjoy translating research into reliable, high-impact solutions, leading cross-functional initiatives from discovery to production, and collaborating with product and engineering teams to drive measurable business outcomes.…Hi, I’m Aiden Roy, a Senior AI/ML Engineer with 10+ years of experience designing, deploying, and scaling production-grade machine learning systems across cloud-native environments. I specialize in Generative AI, Large Language Models (LLMs), NLP, Computer Vision, MLOps, and building scalable AI APIs that serve millions of users. I enjoy translating research into reliable, high-impact solutions, leading cross-functional initiatives from discovery to production, and collaborating with product and engineering teams to drive measurable business outcomes.

Available to hire

Hi, I’m Aiden Roy, a Senior AI/ML Engineer with 10+ years of experience designing, deploying, and scaling production-grade machine learning systems across cloud-native environments. I specialize in Generative AI, Large Language Models (LLMs), NLP, Computer Vision, MLOps, and building scalable AI APIs that serve millions of users.

I enjoy translating research into reliable, high-impact solutions, leading cross-functional initiatives from discovery to production, and collaborating with product and engineering teams to drive measurable business outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior Machine Learning Engineer at Cortex AI Solutions

August 1, 2022 - Present

Designed and deployed end-to-end ML pipelines on AWS SageMaker and GCP Vertex AI for high-volume real-time inference applications serving millions of daily predictions. Built NLP models for automated text classification and semantic similarity using transformer architectures including BERT and RoBERTa, improving classification accuracy by 18%. Implemented retrieval-augmented generation (RAG) pipelines with vector databases (FAISS), enabling intelligent document search and context-aware response generation. Established MLOps workflows using MLflow, Docker, and Kubernetes for automated model deployment, versioning, and performance monitoring across distributed cloud environments. Developed hybrid AI systems combining traditional ML models with transformer-based architectures to improve recommendation systems and user personalization at scale. Collaborated with product and engineering teams to integrate ML services into enterprise platforms, reducing manual processing time by over 30%.

Machine Learning Engineer -II at Meridian Data Labs

June 1, 2020 - July 1, 2022

Developed predictive ML models for customer behavior forecasting and anomaly detection, leveraging AWS cloud services to process large-scale structured datasets. Built automated training and deployment workflows using MLflow and cloud-native infrastructure, reducing model release cycles from weeks to days. Worked on recommendation systems using collaborative filtering and ranking algorithms, improving user engagement metrics by 22% across client deployments. Integrated scalable ML APIs into enterprise analytics platforms, supporting multiple large-scale clients with real-time prediction capabilities. Improved model accuracy through systematic hyperparameter optimization and advanced feature selection, achieving consistent performance gains across regression and classification tasks. Assisted in deploying containerized ML services across distributed cloud environments using Docker and Kubernetes for reliable, scalable inference.

AI / ML Engineer at Nextwave Analytics

March 1, 2018 - May 1, 2020

Designed AI-driven analytics solutions for structured and unstructured enterprise datasets, including document classification and intelligent workflow automation using deep learning. Built scalable ETL and data preprocessing pipelines supporting machine learning training environments and downstream reporting workflows. Developed deep learning models using TensorFlow and Keras for image recognition and document understanding tasks, deployed via REST API services. Implemented model evaluation and validation frameworks ensuring deployment quality consistency across production and staging environments. Worked with cross-functional teams to produce machine learning applications, reducing model-to-production time by automating testing and deployment steps. Improved inference efficiency and reduced prediction latency for real-time services through model quantization and caching strategies.

Junior Machine Learning Engineer at BlueCore Systems

June 1, 2015 - February 1, 2018

Assisted in developing computer vision pipelines for image classification and object recognition using CNNs, contributing to core product AI capabilities. Performed data preprocessing, cleaning, and augmentation for model training datasets, ensuring high-quality inputs for production-grade models. Built Python-based automation scripts for feature extraction, dataset preparation, and batch processing workflows supporting the ML team. Supported training and evaluation of deep learning models, conducting experiments and documenting performance benchmarks across multiple architectures. Contributed to cloud-based AI deployment and monitoring tasks on AWS, gaining hands-on experience with production ML systems and real-world data challenges. Collaborated with senior engineers on testing, debugging, and continuously improving ML pipelines and model workflows.