Hi, I’m Suraksha Shetty, a Machine Learning Engineer based in Dublin, Ireland. I specialize in building and deploying deep learning, NLP, and reinforcement learning models in production using Python, TensorFlow, PyTorch, MLflow, Docker, and AWS. I enjoy turning data into reliable, real-time AI solutions, from data pipelines and feature engineering to monitoring and observability. I’m passionate about applied AI, generative models, and solving real-world problems with robust systems.

Suraksha Shetty

Hi, I’m Suraksha Shetty, a Machine Learning Engineer based in Dublin, Ireland. I specialize in building and deploying deep learning, NLP, and reinforcement learning models in production using Python, TensorFlow, PyTorch, MLflow, Docker, and AWS. I enjoy turning data into reliable, real-time AI solutions, from data pipelines and feature engineering to monitoring and observability. I’m passionate about applied AI, generative models, and solving real-world problems with robust systems.

Available to hire

Hi, I’m Suraksha Shetty, a Machine Learning Engineer based in Dublin, Ireland. I specialize in building and deploying deep learning, NLP, and reinforcement learning models in production using Python, TensorFlow, PyTorch, MLflow, Docker, and AWS.

I enjoy turning data into reliable, real-time AI solutions, from data pipelines and feature engineering to monitoring and observability. I’m passionate about applied AI, generative models, and solving real-world problems with robust systems.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
See more

Language

English
Fluent
Hindi
Advanced

Work Experience

Application Development Analyst at Accenture, Mumbai, India
August 31, 2023 - July 21, 2025
Delivered actionable insights from Siebel CRM data by writing optimized SQL queries to extract, clean, and analyze service request metrics, agent performance, and system health. Designed and maintained interactive Power BI dashboards for monitoring SLA compliance, ticket backlogs, and deployment impacts. Built automated Python scripts to flag anomalies in CRM behavior, improving proactive issue detection by 30%. Collaborated with QA, deployment, and client teams to analyze defect patterns post-deployment to improve rollback decisions and reduce escalations. Developed standardized Excel/PivotTable reports for weekly operations reviews and maintained documentation to support cross-team adoption and audit readiness.
Application Development Associate at Accenture, Mumbai, India
May 31, 2022 - July 21, 2025
Provided environment management and technical support for Siebel CRM systems for a major telecom client. Monitored system stability and flagged incidents through Grafana dashboards and internal tools, ensuring production reliability. Participated in service incident triage and regular KPI reporting. Completed full-time Java Enterprise and DevOps training and developed a full-stack Shopping Cart system using Spring MVC, JSP, and REST APIs as a capstone project.
Application Development Analyst at Accenture
August 1, 2023 - August 1, 2023
Delivered actionable insights from Siebel CRM data by writing optimized SQL queries to extract, clean, and analyze service request metrics, agent performance, and system health indicators. Designed and maintained Power BI dashboards to monitor SLA compliance, ticket backlogs, and deployment impacts, enabling stakeholders to track performance and predict issues. Built automated Python scripts to flag anomalies in CRM behaviour, improving proactive incident detection by about 30%. Collaborated with QA, deployment, and client teams to analyze recurring defect patterns post-deployment, guiding rollback decisions and reducing escalation cycles. Maintained documentation of data workflows and report logic to support cross-team adoption and audit readiness.
Application Development Associate at Accenture
May 1, 2022 - May 1, 2022
Provided environment management and technical support for Siebel CRM systems for a major telecom client. Monitored system stability and flagged incidents through Grafana dashboards and internal tooling, ensuring production reliability. Completed full-time Java Enterprise + DevOps training, and built a full-stack Shopping Cart system using Spring MVC, JSP, and REST APIs as part of a capstone project. Achieved fast-track promotion by excelling in the Modern Data Engineering School (top 5%).

Education

Master of Science at Dublin City University, Dublin, Ireland
January 1, 2023 - December 31, 2024
Bachelor of Technology at SNDT Women’s University, Usha Mittal Institute of Technology, India
January 1, 2016 - December 31, 2020
Master of Science in Computing (Artificial Intelligence) at Dublin City University
January 1, 2023 - January 1, 2024
Bachelor of Technology in Computer Science and Technology at SNDT Women’s University, Usha Mittal Institute of Technology, India
January 1, 2016 - January 1, 2020

Qualifications

Machine Learning A - Z: Hands-On Python & R In Data Science
January 1, 2020 - December 31, 2020
Generative AI for Developers Learning Path by Google Cloud Skills Boost
January 1, 2023 - December 31, 2023
Full-time Java Enterprise + DevOps Training
January 1, 2021 - December 31, 2021
Machine Learning A–Z: Hands-On Python & R in Data Science
January 11, 2030 - November 27, 2025
Generative AI for Developers
January 11, 2030 - November 27, 2025
Docker, Kubernetes & AWS: Real-World Deployment in 25 Days
January 11, 2030 - November 27, 2025

Industry Experience

Software & Internet, Energy & Utilities, Telecommunications, Professional Services, Education