Open to opportunities

Fahd Alton

@fahdalton

Message

Senior AI/ML Engineer specializing in LLMs, RAG, and MLOps to deliver production-grade automation.

United States

Message

What I'm looking for

I’m looking to lead production-grade AI/ML and Generative AI systems—LLMs, RAG, and MLOps—where I can translate business goals into scalable solutions, deliver measurable impact, and build responsible, compliant models.

I’m a Senior AI/ML Engineer with 8+ years of experience designing and scaling AI-powered products and platforms end-to-end—from data engineering and model development to deployment, monitoring, and optimization in cloud environments.

At AlphaBridge, I architected and deployed enterprise-scale AI/ML solutions for fraud detection, customer intelligence, and risk analytics. I fine-tuned Large Language Models using Hugging Face Transformers, improving document understanding and classification accuracy by 30%, and built RAG applications with LangChain and semantic search capabilities. I also developed real-time computer vision with YOLOv8 and TensorRT, cutting manual inspection costs by 55%, and delivered graph neural network fraud models that increased recall by 20%.

I lead production-ready MLOps and responsible AI practices by establishing automated training, deployment, and monitoring pipelines with Kubeflow, MLflow, Airflow, Docker, and Kubernetes, while using SHAP and LIME to improve transparency and regulatory compliance. Previously at Fractal Analytics, I delivered NLP and predictive solutions across multiple industries, improved model performance by up to 25% via Optuna and Ray Tune, and strengthened reliability with monitoring for performance and data drift. Earlier, at DataSap, I built healthcare predictive models and explainable AI dashboards, including hospital readmission prediction that reduced readmission rates by 19%—always focused on measurable impact and operational excellence.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

AlphaBridge

Jan 2024 - Present (2 years 5 months)

Architected and deployed enterprise AI solutions for fraud detection and risk analytics, fine-tuning LLMs to improve document understanding and automated classification accuracy by 30%. Built RAG and computer vision systems (YOLOv8/TensorRT), cutting manual inspection costs by 55%, and established Kubeflow/MLflow/Airflow-based MLOps pipelines with explainability and compliance (SHAP/LIME).

Python Retrieval Augmented Generation (RAG)PyTorch Kubeflow MLFlow Kubernetes Ray SHAP

AI/ML Engineer

Fractal Analytics

May 2021 - Dec 2023 (2 years 7 months)

Delivered machine learning and deep learning solutions across healthcare, finance, manufacturing, and retail, building NLP applications for classification, summarization, and conversational AI. Implemented scalable feature engineering and ETL pipelines, automated retraining/deployment with CI/CD and MLflow, and improved model performance by up to 25% using Optuna and Ray Tune.

NLP Transformer Models BERT GPT Python Apache Spark Databricks MLFlow AWS Sagemaker Optuna

Machine Learning Engineer

DataSap

Mar 2018 - Apr 2021 (3 years 1 month)

Built predictive analytics models for healthcare organizations, including hospital readmission prediction, reducing readmission rates by 19% through Random Forest, XGBoost, and neural networks. Designed large-scale ETL/feature engineering pipelines and improved training throughput by 43% using GPU acceleration and mixed-precision, while implementing SHAP/LIME-based explainability dashboards for cl