Available to hire
I am an experienced machine learning engineer with over 10 years of hands-on experience building, deploying, and optimizing AI solutions across diverse industries. I specialize in turning complex data into actionable insights using Python, TensorFlow, PyTorch, and cloud platforms like AWS and Azure.
I have led ML teams, delivered real-time inference pipelines, and collaborated with cross-functional partners to align technical work with business goals. I am passionate about clean code, reproducible experiments, mentoring teammates, and delivering scalable, robust AI systems with strong performance and accuracy.
Skills
Language
English
Fluent
Work Experience
Senior Machine Learning Engineer at Coherent Solutions
October 1, 2025 - October 1, 2025Led design and deployment of predictive analytics models using Python, TensorFlow, and scikit-learn, improving client decision-making accuracy by 28%. Directed a team of ML engineers to integrate AI-driven recommendation systems into client platforms, increasing operational efficiency by 35% and enabling real-time inference with sub-second latency. Architected cloud-based ML workflows on AWS and Azure; implemented CI/CD pipelines for model versioning and retraining; monitored performance with MLflow and Prometheus. Built deep learning models for image recognition with Keras and performed feature engineering to accelerate training by 30%, while mentoring junior engineers.
Machine Learning Engineer at Slalom
March 1, 2021 - March 1, 2021Implemented AI solutions for client analytics platforms and built NLP models for automated email and document classification, reducing manual processing by 45%. Designed and maintained cloud-based ML pipelines using AWS SageMaker and Azure ML; conducted hyperparameter tuning and model evaluation with cross-validation and AUC-ROC, improving accuracy by 18%. Collaborated with data engineers to create ETL pipelines for structured and unstructured data; automated reporting dashboards with Power BI; developed computer vision solutions for image classification and ensured AI governance and security in deployments. Provided technical guidance on ML best practices to client teams.
Data Scientist / Machine Learning Engineer at Cognizant
July 1, 2018 - July 1, 2018Built and deployed predictive models to enhance business intelligence and forecasting. Developed NLP pipelines for sentiment analysis and automated feedback evaluation. Executed data preprocessing, feature engineering, and model validation workflows for structured and unstructured datasets. Optimized models with scikit-learn and XGBoost, achieving about 15% performance improvement. Designed dashboards with Tableau, developed recommendation engines, maintained data pipelines, and mentored junior analysts. Conducted exploratory data analysis to identify patterns and anomalies.
Junior Data Scientist at Sabre Corporation
April 1, 2015 - April 1, 2015Assisted in building predictive analytics for travel and booking systems. Implemented data preprocessing, classification, and regression models using scikit-learn; generated Tableau dashboards to track KPIs. Collaborated with senior engineers to evaluate model performance and plan deployments in cloud and on-premise environments, contributing to a 15% improvement in booking recommendations.
Education
Bachelor of Science in Computer Science at University of North Texas
August 1, 2009 - May 1, 2013Qualifications
Industry Experience
Software & Internet, Professional Services, Media & Entertainment, Other
Skills
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