Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I’m Sam Sanders, a Senior AI/ML Engineer with 7+ years of experience designing, deploying, and scaling production-grade AI solutions across healthcare, fintech, SaaS, and enterprise environments. I specialize in Generative AI, LLM applications, RAG systems, and AI agents, and I enjoy turning complex ML workflows into reliable, measurable products. I’ve delivered end-to-end machine learning and data engineering work—from experimentation and model evaluation through CI/CD, monitoring, and ongoing optimization. I’ve built scalable MLOps pipelines and data processing systems using tools like Python, PyTorch, TensorFlow, MLflow, Airflow, Kubernetes, and AWS, consistently improving accuracy, latency, and operational stability while aligning with business KPIs.…I’m Sam Sanders, a Senior AI/ML Engineer with 7+ years of experience designing, deploying, and scaling production-grade AI solutions across healthcare, fintech, SaaS, and enterprise environments. I specialize in Generative AI, LLM applications, RAG systems, and AI agents, and I enjoy turning complex ML workflows into reliable, measurable products. I’ve delivered end-to-end machine learning and data engineering work—from experimentation and model evaluation through CI/CD, monitoring, and ongoing optimization. I’ve built scalable MLOps pipelines and data processing systems using tools like Python, PyTorch, TensorFlow, MLflow, Airflow, Kubernetes, and AWS, consistently improving accuracy, latency, and operational stability while aligning with business KPIs.

Sam Sanders

AI Engineer, Data Scientist, Data Engineer, +1





I’m Sam Sanders, a Senior AI/ML Engineer with 7+ years of experience designing, deploying, and scaling production-grade AI solutions across healthcare, fintech, SaaS, and enterprise environments. I specialize in Generative AI, LLM applications, RAG systems, and AI agents, and I enjoy turning complex ML workflows into reliable, measurable products. I’ve delivered end-to-end machine learning and data engineering work—from experimentation and model evaluation through CI/CD, monitoring, and ongoing optimization. I’ve built scalable MLOps pipelines and data processing systems using tools like Python, PyTorch, TensorFlow, MLflow, Airflow, Kubernetes, and AWS, consistently improving accuracy, latency, and operational stability while aligning with business KPIs.…I’m Sam Sanders, a Senior AI/ML Engineer with 7+ years of experience designing, deploying, and scaling production-grade AI solutions across healthcare, fintech, SaaS, and enterprise environments. I specialize in Generative AI, LLM applications, RAG systems, and AI agents, and I enjoy turning complex ML workflows into reliable, measurable products. I’ve delivered end-to-end machine learning and data engineering work—from experimentation and model evaluation through CI/CD, monitoring, and ongoing optimization. I’ve built scalable MLOps pipelines and data processing systems using tools like Python, PyTorch, TensorFlow, MLflow, Airflow, Kubernetes, and AWS, consistently improving accuracy, latency, and operational stability while aligning with business KPIs.

Available to hire

I’m Sam Sanders, a Senior AI/ML Engineer with 7+ years of experience designing, deploying, and scaling production-grade AI solutions across healthcare, fintech, SaaS, and enterprise environments. I specialize in Generative AI, LLM applications, RAG systems, and AI agents, and I enjoy turning complex ML workflows into reliable, measurable products.

I’ve delivered end-to-end machine learning and data engineering work—from experimentation and model evaluation through CI/CD, monitoring, and ongoing optimization. I’ve built scalable MLOps pipelines and data processing systems using tools like Python, PyTorch, TensorFlow, MLflow, Airflow, Kubernetes, and AWS, consistently improving accuracy, latency, and operational stability while aligning with business KPIs.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Senior AI/ML Engineer

January 1, 2020 - Present

Led end-to-end AI/ML development and production deployment across healthcare, fintech, SaaS, and enterprise. Delivered forecasting and machine learning models with measurable improvements (e.g., forecasting accuracy +22%, customer segmentation precision +30%). Built scalable training/evaluation/experiment tracking with MLflow for reproducibility and reduced retraining time (~25%). Developed large-scale sales forecasting on Microsoft Fabric supporting 1M+ customers and reduced MAPE from ~46% to under ~15% for top revenue segments. Implemented MLOps best practices (CI/CD, model versioning, monitoring, drift detection) to reduce production incidents (~40%) and minimize model drift. Managed and mentored 8+ engineers and data scientists, accelerating project delivery (~25%) and aligning ML initiatives to business KPIs.

Senior Machine Learning Engineer at Midsummit

January 1, 2019 - November 30, 2020

Built enterprise Generative AI applications using LLMs, RAG, LangChain, vector databases, prompt engineering, embeddings, and AI agents, reducing proposal drafting time by ~70%. Created a text-to-SQL assistant integrating Hugging Face Transformers, LangChain, semantic search, vector stores, embeddings, and REST APIs, cutting data retrieval time by ~80% and enabling 500+ business users to query enterprise data without SQL expertise. Developed a healthcare AI platform using RAG and OCR with vector databases and AWS/Kubernetes stack, reducing processing time by ~40%. Optimized distributed model training pipelines to reduce training time (~40%) via GPU utilization, parallel processing, and data pipeline optimization. Built and maintained ML pipelines on Kubernetes, MLflow, Airflow, and Databricks for 100+ production model deployments with ~99.9% pipeline availability. Engineered scalable ETL/data/feature pipelines using S3/Glue/Redshift/PySpark/SQL/Airflow.

Machine Learning Engineer

January 1, 2018 - December 31, 2018

Designed and developed a production-grade healthcare RAG platform enabling secure retrieval and interaction with medical records through natural language. Built document ingestion pipelines, semantic search with vector databases, metadata-aware retrieval, prompt orchestration, and FastAPI backend services. Improved response quality using retrieval optimization, evaluation frameworks, and monitoring, while ensuring scalable, reliable performance and healthcare data security compliance.