Chinimilli Jagadeesh
**************@*****.*** 551-***-****
Professional Summary
Highly motivated and detail-oriented Software Developer with strong technical expertise in designing, developing, and maintaining software solutions. Proficient in multiple programming languages, frameworks, and tools, with a proven ability to collaborate on team projects. Committed to delivering innovative and high-quality software products.
Technical Skills
Programming Languages: Java, Python, C++, JavaScript
Web Development: HTML, CSS, React, Node.js
Database Management: MySQL, MongoDB, PostgreSQL
Software Development Tools: Git, Docker, Jenkins, JIRA
Cloud Platforms: AWS, Azure
Frameworks: Spring Boot, Django
Other Skills: Agile Methodology, RESTful APIs, Data Structures and Algorithms, Problem-Solving
Professional Experience
Software Developer Intern Agilisium, Chennai, Tamil Nadu January 2023 – August 2023
Designed and implemented RESTful APIs to enhance application functionality, resulting in a 20% increase in performance.
Collaborated with a team of developers to create a user-friendly web application using React and Node.js.
Conducted code reviews and implemented best practices, ensuring code quality and efficiency.
Automated deployment processes using Jenkins, reducing deployment time by 30%.
Graduate Assistant Sacred Heart University, Fairfield, CT Sep 2024 – Dec 2024
Assisted professors in developing course materials and grading assignments for advanced programming courses.
Provided technical guidance to students, clarifying complex programming concepts and debugging code.
Academic Projects
1. Smart Traffic Management System
Objective: Developed a system to optimize traffic flow using real-time data.
Technologies Used: Python, Django, PostgreSQL, JavaScript, Google Maps API
Description: Built a web application that integrates traffic sensors and live data to dynamically adjust traffic signals, reducing congestion by 25%.
Outcome: Project recognized as "Best Innovative Solution" during the university's tech fair.
2. Real-Time Chat Application
Objective: Designed a chat application to enable instant messaging and file sharing.
Technologies Used: JavaScript, Node.js, Socket.io, MySQL
Description: Implemented real-time communication using Socket.io, ensuring minimal latency and high reliability.
Outcome: Successfully demonstrated scalability by accommodating over 1,000 simultaneous users during testing.
3. Breast Cancer Detection
Objective: Developed a machine learning model to detect breast cancer using medical imaging data.
Technologies Used: Python, TensorFlow, Keras, NumPy, Pandas, Matplotlib
Description: Built a deep learning model that analyzes mammogram images to classify benign and malignant tumors. Integrated data preprocessing and augmentation techniques to improve accuracy.
Outcome: Achieved 92% accuracy on the test dataset and presented findings at a university research symposium.
Education
Master of Science in Computer Science and Information Technology Sacred Heart University, Fairfield, Connecticut
Bachelor of Technology in Computer Science and Engineering, Presidency University India