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Software Engineer with less than a year in Python, Java, and Full-stack Web Development
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Enthusiastic and detail-oriented Software Engineer in training with a strong foundation in Python, Java, and full-stack web development. Skilled in building and deploying projects involving computer vision, web applications, and database management. Passionate about solving real-world problems through innovative, efficient, and scalable software solutions. Completed MCA at Jawaharlal Nehru New College of Engineering, with hands-on experience developing applications using Flask, OpenCV, YOLO, HTML, CSS, JavaScript, and MySQL.
PES Institute of Advanced Management Studies
Bachelor of Computer Applications Science (BCA)
N/A – June 30, 2023
Jawaharlal Nehru New College of Engineering
Master of Computer Applications (MCA)
N/A – June 30, 2025
Image surveillance using yolo
June 1, 2026 – Present
Designed and developed a responsive web application to monitor and analyze energy consumption across multiple buildings and systems, improving operational visibility by 35%. Collected and annotated custom datasets with bounding boxes and object labels to train the YOLO (You Only Look Once) model for single-object detection. Implemented the model using Python and OpenCV, enabling automated image loading, visualization, and detection output with confidence scores. Optimized training parameters to enhance detection accuracy and real-time object recognition performance. Delivered a functional object detection system capable of accurately identifying and labeling objects in diverse image datasets. Strengthened knowledge in deeplearning, computer vision, and model evaluation techniques through practical experimentation.
Organs Donation Registration System
June 1, 2026 – Present
Developed a web-based Organ Donation Registration System to streamline donor sign-ups and manage donation requests efficiently. Designed and implemented intuitive interfaces for donors, organ seekers, volunteers, and administrators, enhancing overall usability. Integrated key features such as volunteer registration, messaging module, and admin dashboard for real-time tracking of donation requests. Built the application using HTML, CSS, and JavaScript for the frontend, with JSP and MySQL handling backend logic and data storage. Improved the donation management process by centralizing records and reducing manual tracking efforts by 60%. Participated in daily stand-up meetings, sprint planning, and retrospectives, contributing ideas for process improvement and enhanced development workflows.
Text and Non-Text Region Segmentation in Document Images
June 1, 2026 – Present
Engineered an AI-driven document segmentation system to identify and separate text and non-text regions in digital images. Utilized EasyOCR for text extraction and OpenCV for detecting logos, shapes, and graphical elements. Developed a Flask-based web application with a dynamic frontend using HTML, CSS, and JavaScript, providing an interactive user experience. Implemented color-coded visual segmentation and generated key metrics such as text coverage percentage and region counts per document. Enhanced digital workflow efficiency by making scanned documents easier to index, search, and process.
NPTEL Online Certification for Successfully Completing the Course Cyber Security and Privacy.
NPTEL
June 1, 2026 – Present
VTU Online Certification for Successfully Completing the Course Machine Learning
VTU
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse interest in web development, database management, and AI/computer vision. The projects address real-world problems (organ donation, image surveillance, document segmentation), indicating a problem-solving mindset. The mention of team collaboration and agile practices in project descriptions suggests an openness to collaborative work environments. However, the lack of professional experience makes it difficult to fully assess cultural fit beyond academic settings.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Analytical Thinking, Team Collaboration, Adaptability, Time Management, and Communication, which are crucial for operational fit. Participation in daily stand-ups, sprint planning, and retrospectives in academic projects indicates an understanding of agile methodologies and collaborative work environments. However, without professional experience or specific examples of these skills in action, the depth of these soft skills cannot be fully assessed.