Full Stack Developer

Guna Shekar Varma Kanumuri

USA — +1-317-***-**** — *************@*****.*** - LinkedIn – GitHub

Professional Summary

Full Stack Developer with proven success in building performant, scalable applications across the software development lifecycle. Adept at architecting robust APIs, optimizing databases, and crafting responsive frontends. Passionate about delivering clean code in agile environments and translating complex problems into elegant technical solutions.

Technical Skills

Programming Languages: Go, Python, Java, JavaScript, TypeScript, SQL. Frontend Tools: React.js, Redux, Next.js, Chart.js, Material UI. Frameworks & Libraries: Flask, FastAPI, Django, Node.js, .NET Core. Databases & Storage: PostgreSQL, MySQL, MongoDB, Redis, Snowflake. Cloud & DevOps: AWS, Docker, Kubernetes, GitHub Actions, Terraform, Data Bricks. Machine Learning & AI: Random Forest, Linear Regression, Gradient Boosting, Neural Network, XG Boost, Hugging Face Transformers, LLMs. Development Practices: Agile, Jira, GitHub, PyTest, GoTest, CI/CD, GraphQL, REST APIs. Experience

Full Stack Developer – IUPUI May 2024 - May 2025

• Designed and implemented a medical imaging pipeline using Python, automating DICOM to NIFTI conversions for ML workflows.

• Trained convolutional neural networks (CNNs) with PyTorch and SimpleITK on HPC infrastructure, improving tumor detection accuracy.

• Developed and deployed Flask APIs to serve real-time model predictions and diagnostic metadata. Full Stack Developer – Data Rakshak Technologies Pvt LTD March 2022 - May 2023

• Led development of a scalable coding assessment platform handling 1,000+ concurrent users.

• Engineered reusable React and TypeScript components integrated with Django REST API, improving performance and maintainability.

• Streamlined deployments by containerizing services with Docker and setting up CI/CD via GitHub Actions, halving deployment times.

Projects

Concert Ticket Booking

• Built a modular ticket booking simulation with Go routines and sync.WaitGroup to manage asynchronous confirmations.

• Structured models and validations for maintainable, scalable design.

• Integrated user input validations and concurrent logging to monitor ticket status and improve overall user experience.

Job Application Automation Bot

• Developed an NLP-powered platform comparing resumes with job descriptions using Hugging Face transformers.

• Engineered React.js frontend, Flask backend, PostgreSQL database, and JWT-based auth system—all containerized with Docker Compose.

• Enabled keyword gap analysis with visual feedback using Streamlit and charting libraries to help users optimize applications in real time.

Education

M.S. - CIS, Purdue University GPA: 3.7/4.0 August 2023 – May 2025 Bachelor of Technology, Computer Science, JNTUH GPA: 3.4/4.0 August 2019 – May 2023

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