Goutham S Babu
Computer science undergraduate
Bengaluru
Summary
Personable and adaptable with strong foundation in software development principles. Proficient in Java and Python, coupled with solid understanding of algorithms and data structures. Aiming to contribute to innovative projects and drive impactful solutions.
Developed software development skills in collaborative and fast-paced environment. Gained expertise in coding, debugging, and problem-solving, with focus on efficiency and quality. Seeking to transition into new field leveraging these transferrable skills to contribute effectively.
Overview
2
2
years of professional experience
2
2
years of post-secondary education
3
3
Languages
Work History
Volunteer
Yenepoya University
Bengaluru
12.2023 - Current
- Assisted with special events and programs.
- Maintained clean, neat, and operational facilities to serve program needs.
- Supported engaging, fun, and smooth-running events by helping with organization and planning.
- Used strong interpersonal communication skills to convey information to others.
Intern
Null Class
Remote
06.2024 - 08.2024
- Actively participated in code reviews, ensuring adherence to coding standards and best practices throughout the team''s work output.
- Mastered complex APIs, integrating third-party services into applications seamlessly as needed by project requirements.
- Analyzed problems and worked with teams to develop solutions.
Intern
Sancode Technologies
Remote
10.2023 - 12.2023
- Maintained strict confidentiality while handling sensitive client information according to company guidelines and legal regulations.
- Contributed to a positive work environment by proactively assisting colleagues as needed, fostering strong professional relationships and a collaborative atmosphere.
Education
Bachelor of Computer Applications - Computer Science
Yenepoya University
Bengaluru, India 09.2023 - Current
Skills
Teamwork and collaboration
Projects
IoT-Based Gas Leakage Detector
Designed and implemented an IoT-enabled gas leakage detection system using gas sensors (MQ series), microcontroller (e.g., Arduino/ESP8266), and cloud connectivity. The system monitors gas levels in real-time, sends alerts via SMS/email, and triggers a buzzer for immediate safety response. Integrated with a mobile/web dashboard for remote monitoring and data logging
Food Snap AI – Calorie Detection from Images
Developed a Python-based AI application that detects food items from images and estimates calorie content using deep learning (CNN) and computer vision techniques. Integrated pre-trained models and nutrition databases to provide accurate calorie predictions. Built with TensorFlow/Keras and OpenCV, with a user-friendly interface for real-time food analysis.
Timeline
Intern
Null Class
06.2024 - 08.2024
Volunteer
Yenepoya University
12.2023 - Current
Intern
Sancode Technologies
10.2023 - 12.2023
Bachelor of Computer Applications - Computer Science
Yenepoya University
09.2023 - Current
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