About Me
Motivated Software Engineer with a Master's degree in Computer Science and 3.5 years of diverse experience (2 years in professional roles and 1.5 years as a Graduate Assistant) in Agile software development. A specialist in the Microsoft Tech Stack, including C#, .Net, SQL Server, Azure, and VB. Passionate about developing REST APIs using C#, .NET, ADO.NET, and Web API in Azure cloud setups, ensuring they are scalable and testable. Proud of having solved all SQL Server challenges on HackerRank, demonstrating expertise in design optimization, performance tuning, and data integrity. Proficient in CI/CD practices using tools such as GitHub, Jenkins, as well as cloud platforms like Azure DevOps and GitHub Actions. Extensive hands-on experience with Docker, Kubernetes, Azure services, and Visual Basic (VB) for comprehensive application development. Eagerly seeking a role to apply this multifaceted skill set, drive innovation, evolve professionally, and make a positive impact on society. Open to relocation and embracing new challenges. 💡🚀
."In the world of programming, always remember to laugh at your bugs before they laugh at you!" 😁🐞
- Name: Venkat Sai Rama
- Experience: 3.5 years
Skills
Website Development
From designing visually stunning layouts to implementing interactive features, website development involves creating captivating user experiences on the web.
C#
C# is a versatile programming language that empowers developers to build robust, scalable, and secure applications across various platforms and domains.
Python
Python, the elegant and powerful programming language, facilitates rapid development and provides a wide range of tools and frameworks for various applications, including web development, data analysis, and AI.
REST API (Web Technology)
REST (Representational State Transfer) API is a web technology that provides a standard and flexible approach for building web services that allow communication between different systems, enabling data exchange and integration.
SQL
SQL, the language of databases, enables effective management and manipulation of structured data, making it essential for designing and interacting with relational databases.
HTML
HTML forms the foundation of web development, allowing the creation of well-structured web pages that define content and provide structure for other technologies like CSS and JavaScript.
JavaScript
JavaScript, the language of interactivity, empowers websites with dynamic functionality, enhanced user experiences, and enables the creation of interactive web applications.
CSS
CSS brings life to web pages by adding visual styles, layout, and design elements, allowing developers to create beautiful and responsive user interfaces.
C
C, the foundational programming language, provides low-level control, high performance, and is widely used in systems programming, embedded systems, and creating efficient algorithms.
Angular
Angular, a powerful front-end framework, enables the development of dynamic single-page applications with its modular architecture and extensive set of features.
React
React, a popular JavaScript library, simplifies building interactive UI components, making it efficient for creating modern, responsive, and reusable user interfaces.
Microsoft .NET Framework
The Microsoft .NET Framework provides a powerful and comprehensive platform for building various applications, leveraging C#, ASP.NET, and other tools and frameworks.
ASP.NET MVC 3.5/4/5
ASP.NET MVC is a robust and scalable framework for building web applications, providing a model-view-controller architecture and seamless integration with the .NET ecosystem.
MVVM
MVVM (Model-View-ViewModel) is an architectural pattern that separates the concerns of data, presentation, and business logic, enabling efficient development and maintenance of complex applications.
AJAX
AJAX (Asynchronous JavaScript and XML) allows seamless communication between the client and server, enabling dynamic and interactive web applications without page reloads.
ASP
ASP (Active Server Pages) is a classic web technology used for server-side scripting to dynamically generate web pages, handle user input, and interact with databases.
ASP.NET Core
ASP.NET Core is a cross-platform framework that provides a unified development model for building modern web applications using .NET and enables high-performance and scalable solutions.
Containerization tools and Cloud
Docker
Docker is a popular containerization platform that allows you to build, package, and distribute applications with their dependencies, providing consistency and portability across different environments.
Kubernetes
Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications, providing scalability, resilience, and easy management of distributed systems.
RabbitMQ
RabbitMQ is a robust and highly scalable message broker that enables efficient communication between different components of distributed systems, facilitating reliable messaging and event-driven architectures.
Databases: MySQL
MySQL is a popular open-source relational database management system that provides scalability, performance, and ease of use, making it widely used for storing and retrieving structured data in various applications.
Databases: SQL Server
SQL Server is a robust and feature-rich relational database management system developed by Microsoft, offering high-performance data storage, advanced security features, and seamless integration with other Microsoft technologies.
Databases: MongoDB
MongoDB is a popular NoSQL document-oriented database that provides high flexibility, scalability, and ease of use for handling unstructured and semi-structured data, making it suitable for modern web applications and big data projects.
Tools: GitHub
GitHub is a popular web-based platform for version control and collaboration, enabling developers to host, manage, and share their code repositories, facilitating teamwork, and providing robust versioning control features.
Cloud Technologies: Hadoop
Hadoop is an open-source framework that enables distributed processing of large datasets across clusters of computers, providing a scalable and fault-tolerant solution for storing and analyzing big data.
Cloud Technologies: Azure
Azure is a leading cloud computing platform provided by Microsoft, offering a comprehensive suite of cloud services including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
Cloud Technologies: Redshift
Redshift is a fully managed, petabyte-scale data warehousing service provided by AWS, designed for large-scale analytics and data warehousing, offering high-performance querying and scalability.
Cloud Technologies: Kafka
Kafka is a distributed streaming platform that enables real-time data streaming and processing at scale, providing high-throughput, fault-tolerant, and reliable data pipeline solutions for streaming applications.
Projects
UnivPredict Event Success Predictor
React, C#, .NET, ML.NET, Cosmos DB, Azure, Docker, D3.js
- Objective: The primary goal was to develop UnivPredict, an application that predicts the success of university events. This would assist event organizers in planning and resource allocation.
- Technical Stack: The frontend was crafted using React for its scalability and responsiveness, while C# coupled with .NET was chosen for backend operations due to its robustness and efficiency. Azure provided the cloud infrastructure for hosting and storage.
- Machine Learning Integration: For predictive analytics, ML.NET was incorporated. This framework allowed for the training of models using historical event data. The data, stored in Azure Cosmos DB, consisted of parameters like event type, attendee count, and profiles of guest speakers, which were pivotal in forming binary predictions.
- Microservices and Azure: A microservices architecture was adopted using .NET Core, ensuring modular and scalable components. Azure services were leveraged extensively, especially for integrating internal APIs that fetched data and visualized prediction outcomes.
- Data Visualization with D3.js: To interpret the prediction results effectively, D3.js was integrated into the React frontend. It powered visual representations such as a progress bar indicating event success likelihood and a pie chart detailing the factors influencing the prediction. This ensured that the users could make informed decisions based on clear, data-driven insights.
- Continuous Integration and Deployment: To ensure seamless updates and high availability, a CI/CD pipeline was set up. Docker containers encapsulated the application components, and Azure Kubernetes Service managed their orchestration. This combination led to minimized downtimes and an enhancement in the system's reliability.
Dynamic Student Survey Form, Department Course Catalog
Angular, AJAX, HTML, CSS, JavaScript, C#, .NET, REST API, Azure Services, Docker, Kubernetes
- Objective: The primary focus was to create a dynamic survey form system tailored for students. Alongside, a department course catalog was developed to assist students in making informed course decisions. Both components were designed to be performant and user-friendly.
- Technical Foundation: Utilized Angular for creating an interactive frontend, allowing students to navigate easily. On the server side, C# combined with .NET was employed due to its efficiency and support for building robust APIs. The project also harnessed the power of Azure, especially Blob Storage, VMs, and App Service for hosting and data storage.
- RESTful Design: Constructed a series of REST APIs using .NET and C# to facilitate data exchange between the frontend and backend. These APIs ensured rapid data handling and transaction processing, hosted on Azure.
- CI/CD Implementation: A continuous integration and continuous deployment (CI/CD) pipeline was set up using Azure DevOps. This allowed for quick integration of changes. For deployment, Docker was used for containerizing the application components, and Kubernetes ensured their orchestrated management on Azure.
- OpenAPI Integration: Incorporated OpenAPI Specification Development to standardize the communication between client and server, making it more efficient and transparent. This ensured that any client, regardless of its tech stack, could easily understand and communicate with the server.
- Azure Services: Leveraged multiple Azure services like Blob Storage for data storage, Virtual Machines (VMs) for compute power, and Azure App Service for hosting. This provided a scalable and robust environment for the application.
Real-time Travel Planning Application
ASP.NET Core, C#, ADO.NET, Docker, Azure Services, SIEBEL, REST API, Bing Maps API, OpenWeatherMap API
- Objective: The main goal was to provide users with a seamless travel planning experience by delivering real-time data and insights about their potential routes, weather conditions, and travel recommendations.
- Technical Base: The backend framework of choice was ASP.NET Core, known for its performance and scalability. Coupled with C# for business logic implementation, the project embraced the Object-Oriented design principles for modularity and ease of maintenance.
- API Creation: High-performing RESTful APIs were constructed using .NET and C# to facilitate data transfer, processing, and representation. These APIs resided in Azure, ensuring global availability and top-tier performance.
- Microservices Approach: Adopted a microservices architecture using .NET Core, emphasizing isolated, self-contained units of functionality. ADO.NET was utilized for efficient data access, integrating seamlessly with the service-based structure.
- Integration with External APIs: The application provided rich insights and real-time data by integrating with renowned external services like Bing Maps (for route planning) and OpenWeatherMap (for weather forecasts). This ensured travelers received comprehensive planning details.
- Data Processing & Handling: Harnessing Azure Data Factory, the project set up robust ETL (Extract, Transform, Load) processes. For handling vast amounts of real-time data, Azure Databricks was employed. This ensured data was always fresh, accurate, and timely.
- Event-driven Data Pipelines: Utilized Azure's event-driven capabilities by setting up data ingestion and syndication pipelines using Azure Functions. To manage asynchronous communication and buffering, Azure Queues and Azure Service Bus were implemented.
- Containerization & Orchestration: With the objective of ensuring consistent deployments and scalable infrastructure, Docker was used for containerization, and Azure Kubernetes Service managed the orchestration.
I have several additional projects that I haven't uploaded yet, but stay tuned as I'll be adding them soon!
Education
Master of Science: Computer Science
George Mason University, Fairfax, VA
GPA: 3.83
Aug. 2021 – May 2023
Bachelor of Technology: Computer Engineering
VNRVJIET, Hyderabad, India
GPA: 3.96
Aug. 2016 – Sep 2020
Portfolio(Under construction Sorry I am busy in building APIs. Will be out very soon Sorry for the wait)
Product Landing Page
Lorem Ipsum is simply dummy text of the printing and typesetting industry.