.Net Developer Core

Hema Srinadh Koganti

.Net Developer

+1-469-***-**** ******************@*****.*** LinkedIn

SUMMARY

.Net Developer with 5 years of experience in .NET Core, React, Blazor, and cloud technologies (Azure, AWS). Experienced in developing scalable web applications, RESTful APIs, microservices, and CI/CD pipelines using GitHub Actions and Azure DevOps. Strong background in C#, JavaScript, TypeScript, SQL Server, and Entity Framework, with a focus on performance optimization, security, and cloud integrations. Passionate about AI-driven solutions, automation, and enhancing user experience. Proven ability to collaborate in Agile environments, solve complex technical challenges, and deliver high-quality software solutions.

SKILLS

Programming Languages: C# .NET, VB.NET, Visual Basic, C, C++, Java, PL/SQL, T-SQL.

Frameworks & Libraries: ASP.NET (4.5, Core 3.3, .NET 5), ADO.NET, AJAX, LINQ, Entity Framework, MVC, WCF, WPF.

Frontend Technologies: Angular (9), HTML, HTML5, DHTML, XML, XSLT, XSD, JSON, SOAP, XAML, Web Forms, Web

Services, Win Forms, JavaScript, jQuery, TypeScript.

Database Management: SQL Server, MongoDB.

Cloud Technologies: Microsoft Azure (Azure CI/CD, ADLS, ADF, Synapse), AWS

Version Control & CI/CD Tools: Git, Team Foundation Server (TFS).

Testing & Automation: Unit Testing, Selenium Automation.

Reporting & Visualization Tools: SQL Server Reporting Services (SSRS), Power BI, Tableau.

Software Development Lifecycle (SDLC): Agile methodologies, Test-Driven Development (TDD), system analysis, and design.

EXPERIENCE

Software Developer Safe Generations, USA Jan 2024 – present

Transitioned the frontend from Python Flask to React and Telerik/Kendo UI, using TypeScript, JSON, jQuery, HTML, AJAX, JavaScript, and Hooks to build web applications, while ensuring seamless .NET Core 9 backend integration and automated deployment with Azure DevOps.

Developed, supported, and maintained a web application using .NET Core v7,9(backend), React (frontend), RESTFUL API, Azure Cosmos DB, and MS SQL Server (databases), leveraging a microservices architecture. Utilized Git for version control, GitHub Actions for CI/CD operations, and deployed through Azure App Service and Azure Functions.

Developed and maintained C# web applications using ASP.NET Core MVC, Entity Framework, LINQ, async/await, Dependency Injection, JWT, OAuth 2.0, Middleware, Unit Testing, Exception Handling, Serialization, Parallel Programming, Caching, and Configuration Management with Azure Key Vault and appsettings.json for scalable, secure, and high-performance solutions.

Resolved 10+ bugs in React.JS improving software quality by constructive feedback, improving code quality and reducing defects by 15%.

Tested UI controls per business requirements, reducing validation errors by 35%. Enhanced customer data handling, improving data accuracy by 50%.

Utilized C# Reflection, Delegates and Events, Generics, and Multithreading to inspect and dynamically interact with types at runtime, enabling flexible and adaptive systems.

Designed and implemented a RESTful API using .NET Core V7, 9 to integrate OpenAI's GPT models, enabling dynamic AI-driven responses such as multi-message completions and string generation. Implemented custom authentication and handled JSON-based requests/responses for various OpenAI models. Optimized API structure to support flexible model use and prompt handling.

Designed and implemented automated CI/CD pipelines using GitHub Actions for continuous integration and deployment to Azure App Services. Reduced deployment time by 30% through automating Docker container deployment to remote servers.

Applied knowledge of fundamental data structures (arrays, lists, dictionaries) and algorithms in C# to solve complex computational problems, optimizing for performance and memory usage.

Evaluated application design, leading to a 20% increase in user satisfaction and usability. Ensured seamless collaboration and code management, contributing to a 10% increase in team productivity.

Optimized performance by 40% using Entity Framework, resulting in faster data retrieval and processing. Integrated backend services with the user interface using JavaScript and AJAX, reducing integration issues by 20%.

Implemented message streaming between micro services deployed in containers using Kafka.

Dot Net Developer Disability Access Consultants LLC, USA May 2023 – Dec 2023

Developed, supported, and maintained Enterprise web application using .NET Core (backend), Blazor V9 (frontend), Azure Cosmos DB, and MS SQL Server (databases), leveraging a microservices architecture. Utilized Git for version control, Azure DevOps for CI/CD operations, and deployed through Azure App Service and Azure Functions.

Designed and effected over 6 RESTful APIs to facilitate efficient communication between application components, leading to a 25% improvement in data retrieval speed and enhancing overall user experience.

Developed dynamic and responsive forms in Blazor using Razor Components, enhancing user interactions and data validation for various web applications. Implemented state management, form validation, and data submission workflows to ensure efficient user experience and seamless backend integration.

Well-versed in using C#'s async/await pattern, tasks, and parallel programming techniques to enhance application responsiveness.

Generate and modified 15+ windows forms using Visual Studio 2019 for a web-based data intake application, resulting in a 30% increase in data entry efficiency and reducing user input errors by 20%.

Developed a web application using ASP.NET Core MVC, JavaScript, jQuery, HTML, CSS, and Telerik/Kendo UI for the frontend and SQL Server for the backend. This project improved data processing speed by 40% and user satisfaction by 35%.

Successfully deployed APIs to the production server, ensuring 99.9% uptime and reliability.

Designed and developed database schema and written stored procedures in SQL Server – 30% rise in query reusability.

Utilized C# language features such as LINQ, delegates, events, lambda expressions handling to streamline code and improve performance.

Designed and implemented automated CI/CD pipelines using GitHub Actions for continuous integration and deployment to Azure App Services. Reduced deployment time by 30% through automating Docker container deployment to remote servers.

Software Developer Infosys, India Mar 2021 – Jul 2022

Developed, supported, and maintained Enterprise web application using .NET Framework (backend), React, Angular(frontend), RESTFUL API, MS SQL Server (databases), leveraging a microservices architecture. Utilized Git for version control, Azure DevOps (CI/CD operations), and deployed through Azure App Service and Azure Functions.

Developed and maintained C# web applications using .NET CORE 5, ASP.NET Core, Entity Framework, LINQ, async/await, Dependency Injection, OAuth 2.0, Middleware, Unit Testing, Exception Handling, Serialization, Parallel Programming, Caching, and Configuration Management with appsettings.json for scalable, secure, and high-performance solutions.

Optimized integration performance by fine-tuning API calls, reducing latency, and improving overall system response time between .NET and Pega.

Integrated Splunk into a web application for real-time log management, monitoring client-side and server-side errors, and enhancing application performance visibility.

Developed and tested integration of Machine Learning model with .NET core Application for Predictive Analytics.

Wrote 50+ new unit tests, increasing code coverage by 20% and ensuring robustness of the application. Provided initial mitigation for issues, later fixed with a standard solution, ensuring 100% client satisfaction.

Design SQL Stored Procedures, Views, and Functions, optimizing database performance by 30% and enhancing data retrieval efficiency.

Integrated AWS OpenSearch with Dynamo DB and AWS CloudWatch. And leveraged OpenSearch clusters analyzing log files and metrics.

Developed a RESTful API in .NET C# using HttpClient for asynchronous retrieval and submission of JSON-based data.

Utilized generics to create flexible and type-safe data structures and methods. Implemented C# collections for efficient data management.

Automated infrastructure provisioning and management, leveraging AWS such as EC2, S3, Lambda, RDS, and DynamoDB through IaC practices to optimize scalability and availability.

Software Developer K L University, India Jan 2019 – Dec 2020

Built a web platform using .NET Core and Blazor server to enhance lab accessibility and streamline student-instructor interactions.

Integrated AWS S3 for secure file storage and retrieval, enabling students to upload documents for verification and grading, and access lab materials on demand. Implemented AWS Lambda functions to handle file processing and automate backend operations, ensuring scalability and efficiency.

Built a responsive and user-friendly interface with Blazor and developed an efficient backend using .NET Core. Improved resource accessibility for 200 students and streamlined grading processes, reducing administrative workload by 60%.

Fostered collaboration and increased engagement through an integrated discussion board for students and instructors using .NET Core and Blazor. Built database schema and models for posts and comments using Entity Framework Core.

Implemented RESTful APIs for CRUD operations and integrated them with the Blazor front-end.

Used Blazor components for real-time interaction and data binding for seamless user experiences. Integrated authentication and authorization to secure user data and restrict access.

Resolved numerous bugs and optimized code, significantly improving application stability and achieving highest uptime.

Created SQL stored procedure, Views, Functions and enhancing data retrieval efficiency.

EDUCATION

Master of Science in Computer Science, University of North Texas, Texas, USA Aug 2022 – Dec 2023

Bachelor of Technology in ECE, K L University, Vijayawada, India Aug 2017 – Feb 2021

PROJECTS

Ransomware Detection and Mitigation System Using Asymmetric Encryption

Developed an Intrusion Detection System (IDS) designed to detect and mitigate asymmetric encryption-based ransomware attacks.

Implemented a proactive defense mechanism that monitors directory activities and immediately kills unauthorized processes that attempt to modify files.

Utilized Auditd for logging system events and Watchdog for directory monitoring to alert users and prevent unauthorized file modifications.

Developed an encryption module using both AES and RSA algorithms to demonstrate ransomware files encryptions.

Integrated real-time alerts with a user authorization system that halts malicious activities, preventing encryption of critical files.

Tools used: Python, PyCrypto, Auditd, Watchdog, Tkinter on Ubuntu Linux.

Parallelizing the Random Cut Forest Classifier for Anomaly Detection

Developed a parallelized version of the Random Cut Forest (RCF) algorithm for real-time anomaly detection in large time-series datasets, utilizing MPI for distributed computing to enhance efficiency and performance.

Implemented strategies including data partitioning, parallel model training, parallel prediction, and batch processing to optimize the RCF algorithm for faster anomaly detection while reducing CPU and memory usage.

Compared the performance of the parallelized RCF with the Isolation Forest algorithm, demonstrating superior speed and lower resource consumption, particularly in scenarios involving large datasets and real-time streaming data.

Achieved significant improvements in execution time and CPU utilization with the parallelized RCF across different process configurations.

Tools Used: Python, MPI (mpi4py), Pandas, NumPy, Random Cut Forest, Isolation Forest, Ubuntu.

File Sharing System

Developed a file-sharing web application using Flask, allowing users to upload files and share them via email.

Integrated AWS services such as S3 Bucket for file storage and DynamoDB for managing email and file metadata.

Implemented AWS Lambda to automatically retrieve email addresses from DynamoDB when new files are uploaded to S3 Bucket and send a link to the uploaded file via email.

Deployed the entire application on an AWS EC2 instance for scalable and efficient performance. Ensured secure file handling, optimized application logic, and streamlined user experience for file sharing.

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