Dhana Rahul Sanka

Accomplished Software Engineer at Infor, specializing in Java and Spring Boot, with a proven track record in developing scalable backend services and RESTful APIs. Adept at optimizing system performance and enhancing user experience, while fostering collaboration within Agile teams. Strong technical guidance and problem-solving skills drive successful project outcomes.

• Java Programming Certification
• AWS Cloud Fundamentals
• Spring Boot & Microservices Training

Project Description:
Developed an end-to-end Machine Learning Optimization platform that improves model performance by optimizing datasets, feature processing, and algorithm execution using cloud-based infrastructure.

Key Responsibilities & Achievements:

• Designed and developed a Machine Learning optimization module to improve model efficiency, scalability, and prediction accuracy.
• Built automated data preprocessing pipelines to transform complex raw datasets into optimized, structured formats suitable for ML model training.
• Integrated multiple optimization solvers to evaluate and generate high-quality solutions for different optimization scenarios.
• Leveraged AWS cloud services to deploy, manage, and scale optimization workloads for reliable and efficient execution.
• Developed a modular architecture that allows users to plug in custom optimization algorithms based on business requirements.
• Implemented configurable workflows to support multiple optimization strategies and solver selection.
• Improved data processing speed by optimizing data transformation and feature engineering pipelines.
• Created REST APIs to trigger optimization jobs, monitor execution status, and retrieve optimized results.
• Collaborated with data scientists and ML engineers to enhance model performance through efficient optimization techniques.
• Implemented logging, monitoring, and error-handling mechanisms to improve system reliability and troubleshooting.
• Optimized resource utilization on AWS, reducing computation time while maintaining high processing performance.
• Ensured scalability and maintainability by following modular software design principles and clean coding practices.
• Participated in performance tuning, testing, deployment, and production support activities.
• Documented technical workflows, optimization strategies, and deployment processes for future enhancements.

Technologies Used:
Python, Machine Learning, AWS (EC2, S3, Lambda, or relevant services), REST APIs, Optimization Solvers, Git, SQL, Custom Optimization Algorithms.

• English
• Telugu