Sai Ramanan M K
Hyderabad,TG
Summary
Software Engineer with expertise in Python and .NET technologies, delivering measurable results at Providence Global Center. Achieved 90% reduction in support dependency and saved 1,000 analyst hours annually through effective automation strategies. Demonstrated strong analytical skills focused on optimizing application performance and capacity planning.
Overview
3
3
years of professional experience
2
2
Certification
Work History
Software Engineer 2
Providence Global Center
Hyderabad
04.2024 - Current
- Created observability solution for 900+ clinical application instances to enable real-time insights.
- Achieved 90% reduction in support dependency through self-managed application alerting.
- Delivered analytics bot to enhance capacity planning and optimize application performance.
Software Engineer 1
Providence Global Center
07.2022 - 03.2024
- Automated incident resolution for over 2,500 cases annually, saving 1,000 analyst hours each year using .NET and Selenium.
- Implemented automated mass email system for support cases, resulting in 300 hours saved per year.
- Created Azure resource compliance checker, reducing $5,000 in annual costs from unused resources.
- Developed log maintenance portal with AngularJS and Spring Boot; migrated logs to database format.
Education
Bachelors in Technology - Computer Science
Amrita Vishwa Vidyapeetham
Coimbatore, India05-2022
Skills
- Python frameworks: Flask, Django
- NET technologies: ASPNET, NET Framework
- JavaScript frameworks: React, Angular
- JAVA : Springboot
- Cloud services: Azure deployments, resource provisioning, monitoring
- Database/Data management: Azure SQL, ADX/Time series, Log Analytics, Kafka
- Automation tools: Power BI, Selenium
Certification
- Infosys InfyTQ Software Programmer
- CodeChef CCDSP Foundation Level
Projects
Music Note Prediction (Jul 2025-Aug-2025)
- Data Source : Kaggle
- Link to Project : https://github.com/SaiRamanan1810-AAI/Music-Note-Prediction
The project uses a dataset consisting of musical scores from various composers. The dataset will contain MIDI files and sheet music of compositions from well-known classical composers like Bach, Beethoven, Chopin, Mozart, Schubert, etc The dataset is labeled with the name of the composer for each score.
Traffic Detection using YOLO (April 2025-May 2025)
- Data Source : Kaggle
- Link to project : https://github.com/SaiRamanan1810-AAI/Traffic-Detection-from-Signal-Camera
This project exemplifies the integration of IoT and ML for addressing real-world urban challenges, and supports the vision of sustainable smart cities Our implementation will follow industry standards for documentation and collaboration, leveraging GitHub for version control and Tableau Public for data visualization.
Timeline
Software Engineer 2
Providence Global Center
04.2024 - Current
Software Engineer 1
Providence Global Center
07.2022 - 03.2024
Bachelors in Technology - Computer Science
Amrita Vishwa Vidyapeetham