Smile Babu T
Professional Summary
Software Engineer with 3+ years of experience designing and developing enterprise applications using C#, .NET, ASP.NET Core, Blazor, EF Core, and SQL Server. Experienced in Python-based AI application development and integrating ML components into software workflows. Skilled in building REST APIs, modular Blazor UI, database optimization, and collaborating with QA teams on unit and integration testing to deliver reliable, maintainable software.
Technical Skills
Work Experience
- Designed and implemented RESTful services and business logic for user management, access control, notifications, group management, and application configuration using C#, ASP.NET Core and Entity Framework Core.
- Developed modular Blazor pages and reusable UI components delivering filtering, pagination and full-text search to improve usability and reduce frontend code duplication.
- Built and optimized SQL Server schemas and queries; refactored data access with EF Core and asynchronous patterns to improve response times and maintainability.
- Developed Python-based AI application components and integrated ML outputs into application workflows to enable data-driven features and automation.
- Collaborated with QA to introduce unit and integration tests using xUnit and Moq, contributing to reduced regressions and more reliable CI pipelines in Azure DevOps.
- Participated across the SDLC—requirement analysis, development, debugging, testing, defect resolution and deployment support—improving feature delivery consistency for CLR Connect modules.
- Wrote Python scripts for data ingestion and preprocessing using pandas to clean and standardize datasets for analysis.
- Performed exploratory data analysis to identify patterns, outliers and feature opportunities that guided model selection and feature engineering.
- Implemented and evaluated machine learning algorithms for predictive tasks; compared model performance using cross-validation.
- Created visualizations to communicate findings and model insights using libraries such as matplotlib and seaborn.
- Documented data workflows and delivered summary reports to mentors to support decision-making in project iterations.
- Gained hands-on experience deploying end-to-end data pipelines from raw data to actionable visualizations and model results.
Education
Certifications
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