Software Engineer Machine Learning

VENUGOPAL KATRAGADDA

872-***-**** *********@*****.*** LinkedIn Github

EDUCATION

Illinois Institute of Technology, Chicago, IL August 2023 - May 2025 Master in Computer Science, GPA: 3.7/4

Relevant Courses: Enterprise Web Applications, Database Organization, Machine Learning, Big Data Technologies Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India August 2017 - July 2021 Bachelors in Electronics and Communication Engineering, GPA: 8.86/10 Relevant Courses: Object Oriented Programming, Cloud Computing, Data Structures and Algorithms using Python WORK EXPERIENCE

Lead Full Stack Developer

Community Dreams Foundation, Florida, United States July 2025 - Present

● Developing a feedback system with React, Tailwind CSS, Redux Toolkit, and ASP.NET Core Web API.

● Building secure backend with JWT(JSON Web Token), rate limiting, MongoDB, and Entity Framework Core.

● Creating an admin dashboard with dynamic charts, data aggregations, and CI/CD pipelines. Software Engineer

Hands Infotech Inc, Michigan, United States August 2024 - May 2025

● Implemented a full-featured React frontend (TypeScript) for admin, HR, and employee dashboards integrating CRUD views, client side validation, and routing.

● Designed and built ASP.NET Core Web API backend with MS SQL Server database, implementing REST endpoints, server side validation, pagination, and secure data access.

Graduate Teaching Assistant

Illinois Institute of Technology, Chicago, USA August 2024 - December 2024

● Mentored students on full-stack and database projects using real-world startup workflows.

● Created hands-on SQL and data modeling materials to teach agile problem-solving. React native Developer: Link

Tata Consultancy Services Ltd, Hyderabad, India August 2021 - August 2023

● Built and deployed key features for General Motors mobile application using React Native, including real-time vehicle tracking, charging station maps, and route planning, which improved user engagement by 30 percent.

● Collaborated with designers, testers, and product managers to transform Figma designs into production-ready mobile interfaces, implemented unit tests using Jest, ensured app stability through continuous integration and delivery pipelines.

● Integrated APIs and maintained application state in an Agile environment, while coordinating with backend teams using Java (Spring Boot), Kafka, PostgreSQL, and AWS to ensure high performance, secure data handling, and 99.9% data accuracy. Software Engineer Intern

HG Sports Analytics, Hyderabad, India May 2020 - May 2021

● Assisted in developing web interfaces using React for cricket training analytics dashboards, improving usability and responsiveness.

● Collaborated with senior backend engineers to integrate REST APIs built with Node.js, Express, and PostgreSQL.

● Contributed to real-time data visualization features, optimizing UI performance based on user feedback from professional athletes. PROJECTS

AI Trip Planner SaaS Web Application: Link

● Developed a full-stack SaaS AI-powered trip planner using Next.js, Tailwind CSS, OpenAI API, and Mapbox, implementing responsive design, animated UI components, and interactive features to deliver personalized travel itineraries with real-time map visualization. LearnMate – AI-Powered Note Summarizer: Link

● Developed a cross-platform mobile app using React Native, Expo Router, TypeScript, Tailwind CSS, and GROQ LLaMA-3 API to generate real-time AI summaries from user-inputted notes.

● Integrated Firebase for secure PDF uploads and note history tracking with dotenv-based API key management. SmartHomes Web Application: Link

● Built SmartHomes, an online retail platform using Java servlets, HTML, CSS, React, MySQL, and MongoDB.

● Developed features like user authentication, order management, and product reviews to improve customer interaction.

● Expanded system to include data analytics, inventory and sales reports, search auto-completion, enhancing user experience Comparative Analysis of Big Data Models

● Led a team research project comparing performance of TensorFlow, AWS SageMaker, and SparkR in big data processing.

● Conducted performance analysis using multiple datasets, proving SparkR's superior efficiency in model training times. SKILLS

Programming Languages: C, Java, Python, C#

Full Stack Technologies: HTML, CSS, JavaScript, React.js, Angular, Bootstrap, Node.js, Express.js, .NET, Typescript, Next.js Mobile Application Technologies: React Native, Android Data Management: Oracle, MongoDB, EdgeDB, SQL, NoSQL, GraphQL, Firebase, php Big Data Technologies: Hadoop, Hdfs, Hive, Spark, Kafka, Cassandra, MapReduce Tools, Technologies, and OS: AWS, Git, Jira, Azure, Excel, Bitbucket, Android Studio, VS Code, Kubernetes, Unix, Linux, IOT, Matlab

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