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Chakali Tharun

Web Developer • Bengaluru, India • t*********@gmail.com • +91*******984 • linkedin.com/••••• • drivetube.ai/•••••

Professional Summary

Web Developer with 0-1 years of experience in Java, Python, and front-end technologies (HTML, CSS, JavaScript). Demonstrated ability through internships and academic projects to build responsive front-ends, backend integrations, and ML prototype services. Seeking to contribute to full-stack development and continue building scalable, maintainable applications.

Technical Skills

Programming Languages: Java,Python,C,C++,JavaScript
Web Technologies: HTML,CSS,REST API Integration
Frameworks and Libraries: FastAPI,ResNet50
Databases: SQL,JDBC
Tools and Methodologies: Visual Studio Code,Eclipse,GitHub,Object-Oriented Programming,Data Structures,Exception Handling,Modular Programming,API Integration,UI,UX Fundamentals,Transfer Learning

Work Experience

Codsoft
Bengaluru, India
Java Programming Intern
Java programming internship developing mini-projects and tools; focused on applying OOP principles, file handling, exception management, and algorithm optimization.
Tech Stack: Java, Eclipse, GitHub
  • Designed and implemented Java console and modular applications using OOP principles (classes, interfaces, inheritance) to model program flows and business logic.
  • Implemented file handling workflows for persistent data storage and retrieval, applying Java I/O techniques to improve data reliability across sessions.
  • Applied structured exception handling to capture and manage runtime errors, improving application stability for edge-case inputs.
  • Optimized core algorithms and data-processing routines to reduce unnecessary computation and improve responsiveness in resource-constrained tests.
  • Refactored and debugged Java codebases to improve readability and maintainability through method decomposition and clearer variable scoping.
  • Collaborated with peers using GitHub for version control and delivered feature demos from Eclipse to receive iterative feedback and validation.
Oasis Infobyte
Bengaluru, India
Python Programming Intern
Python internship focused on building data-handling scripts and small automation tools to streamline repetitive tasks and improve data management workflows.
Tech Stack: Python, Visual Studio Code, GitHub
  • Developed Python scripts and small automation tools to process, transform, and prepare datasets for testing and analysis.
  • Encapsulated repeated logic into reusable modules and functions to improve code reuse and reduce duplication across automation scripts.
  • Implemented input validation and error handling to make tools resilient to malformed data and runtime exceptions.
  • Performed data parsing and cleansing routines to ensure downstream processes received consistent and usable inputs.
  • Documented usage and code structure to simplify handover and enable teammates to reuse scripts effectively.
  • Used Visual Studio Code and GitHub for development, version control, and collaborative code sharing during the internship.

Projects

ATM Interface
Tools Used: Java, Exception Handling, Modular Programming
  • Built a console-based ATM application supporting secure user authentication, deposits, withdrawals, and balance inquiries.
  • Structured code into reusable modules and classes to separate authentication, transaction processing, and data storage logic.
  • Added comprehensive exception handling to guard against invalid inputs and ensure reliable user interactions.
Library Management System
Tools Used: Java, SQL, JDBC
  • Developed a database-driven system to manage book inventory, member records, and transaction history with CRUD operations.
  • Implemented JDBC connectivity to perform SQL queries and updates, ensuring persistent storage and retrieval of library data.
  • Designed intuitive data models and backend routines to support common library workflows such as issue/return and search.
Pneumonia Detection (Final Year Project)
Tools Used: Python, FastAPI, ResNet50, Transfer Learning
  • Built an image classification prototype using ResNet50 and transfer learning to detect pneumonia from chest X-rays.
  • Implemented data preprocessing pipelines to normalize, augment, and prepare image datasets for model training.
  • Packaged the model behind a FastAPI service to expose inference endpoints for integration and testing.

Education

Alliance University, Bengaluru
B.Tech in Computer Science & Engineering • Bengaluru, India • 2021 – 2025
Narayana Junior College, Guntakal
Class XII – MPC • Guntakal, India • 2019 – 2021
Indian English Medium High School, Guntakal
Class X • Guntakal, India • 2018 – 2019

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