I am an AI Engineer & Machine Learning Architect with over 7 years of experience in designing, developing, and deploying large-scale AI/ML platforms and predictive models. My expertise spans deep learning frameworks such as TensorFlow and PyTorch, cloud-based ML infrastructure including Azure ML and Databricks, and end-to-end MLOps pipelines. I have a proven track record of building production-ready AI solutions with 85-90% accuracy, leading cross-functional teams, and translating business requirements into scalable machine learning architectures. Throughout my career, I have worked extensively across banking and energy sectors, delivering impactful AI solutions that optimize forecasting, risk assessment, and operational efficiency. My strong technical skills are complemented by effective collaboration with business stakeholders, ensuring measurable business outcomes through innovative machine learning applications.

Saleh Abbas

I am an AI Engineer & Machine Learning Architect with over 7 years of experience in designing, developing, and deploying large-scale AI/ML platforms and predictive models. My expertise spans deep learning frameworks such as TensorFlow and PyTorch, cloud-based ML infrastructure including Azure ML and Databricks, and end-to-end MLOps pipelines. I have a proven track record of building production-ready AI solutions with 85-90% accuracy, leading cross-functional teams, and translating business requirements into scalable machine learning architectures. Throughout my career, I have worked extensively across banking and energy sectors, delivering impactful AI solutions that optimize forecasting, risk assessment, and operational efficiency. My strong technical skills are complemented by effective collaboration with business stakeholders, ensuring measurable business outcomes through innovative machine learning applications.

Available to hire

I am an AI Engineer & Machine Learning Architect with over 7 years of experience in designing, developing, and deploying large-scale AI/ML platforms and predictive models. My expertise spans deep learning frameworks such as TensorFlow and PyTorch, cloud-based ML infrastructure including Azure ML and Databricks, and end-to-end MLOps pipelines. I have a proven track record of building production-ready AI solutions with 85-90% accuracy, leading cross-functional teams, and translating business requirements into scalable machine learning architectures.

Throughout my career, I have worked extensively across banking and energy sectors, delivering impactful AI solutions that optimize forecasting, risk assessment, and operational efficiency. My strong technical skills are complemented by effective collaboration with business stakeholders, ensuring measurable business outcomes through innovative machine learning applications.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent
Swedish
Fluent
Spanish; Castilian
Intermediate

Work Experience

Senior AI Engineer & ML Platform Architect at Vattenfall (Consultant)
August 1, 2022 - Present
Designed and implemented an enterprise-scale machine learning platform on Azure ML and Databricks, establishing best practices in MLOps for development, training, and deployment. Led a team of over nine data scientists and ML engineers developing advanced forecasting models for energy demand and grid optimization. Created automated model monitoring and retraining frameworks maintaining 99.9% uptime for critical AI services. Developed Terraform infrastructure modules and automated CI/CD pipelines for model deployment and A/B testing. Collaborated with business stakeholders translating energy sector challenges into scalable machine learning solutions with measurable impact.
AI Engineer & ML Technical Lead at Cargill (Consultant)
June 30, 2022 - August 5, 2025
Led design and implementation of real-time machine learning inference pipelines for demand forecasting and supply chain optimization using Kafka and Azure ML. Developed automated ML training and deployment pipelines in Azure DevOps with integrated validation, testing, and monitoring. Implemented model drift detection and automated retraining strategies ensuring stable predictive performance despite evolving data distributions.
Senior Machine Learning Engineer at Accenture (Consultant)
January 1, 2022 - August 5, 2025
Automated end-to-end ML pipelines for credit risk and cash flow prediction integrating TensorFlow and PyTorch models into Azure production environments. Implemented model governance solutions ensuring data lineage and explainability complying with banking regulations. Developed ensemble methods combining statistical models and deep learning to improve risk assessment accuracy.
Machine Learning Engineer at Handelsbanken (Consultant)
January 1, 2021 - August 5, 2025
Led development of mortgage pricing AI model achieving 92% accuracy with ensemble methods. Developed churn prediction systems using LSTM networks with 90% accuracy and default risk models with enhanced probit neural network solutions. Created time series forecasting models with 5.2% MAPE using LSTM. Applied geospatial analytics for location-based risk modeling and COVID-19 impact prediction using anomaly detection. Built scalable real-time ML data pipelines using PySpark and Hadoop.
AI/ML Developer at Länsförsäkringar (Consultant)
April 1, 2019 - August 5, 2025
Developed LSTM neural network models for financial forecasting with 5.2% MAPE. Built NLP text summarization systems using TextRank algorithm for document analysis. Automated ML workflows for training, evaluation, and deployment. Created ARIMA and ensemble models for time series forecasting integrated with real-time dashboards.
AI Research Engineer - Bachelor Thesis at Nordea Markets
June 30, 2018 - August 5, 2025
Developed a deep learning software for forecasting the S&P 500 index using multilayer perceptron in Python with TensorFlow. The model outperformed traditional Buy & Hold and ARIMA strategies.

Education

Industrial Management and Engineering at KTH
January 1, 2015 - August 5, 2025

Qualifications

Snowflake Fundamentals
January 1, 2022 - August 5, 2025

Industry Experience

Energy & Utilities, Financial Services