PROFESSIONAL SUMMARY
Results-driven Full Stack Developer with a Bachelor's degree in Information Technology from Osmania University and proven expertise in designing and implementing scalable software solutions. At Persys Solutions, engineered a comprehensive School Management System using C#, Windows Forms, and MySQL, improving administrative efficiency by automating admissions, attendance, grading, and fee tracking modules. Skilled in OOP principles, Git version control, and database management, with a strong commitment to writing clean, maintainable code. Adept at collaborating in Agile environments and eager to leverage technical skills to solve complex challenges and drive business growth.
PROJECTS
Image Captioning using CNN and RNN
Technologies: Convolutional Neural Networks, Recurrent Neural Networks, ResNet-50, Flickr 8k dataset, CNN, LSTM
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Created Image captioning version with the use of Convolutional Neural Networks & Recurrent Neural Networks
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Used ResNet-50 architecture to get spatial information in the provided image. Model is built on Flickr 8k dataset which has optimal size, large enough to give a good accuracy
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The combination of CNN & LSTM provided decent result while acting in encoder-decoder fashion
Bird Species: Fine-Grained Bird Species Identification
Technologies: Computer Vision, Image Processing, Classification Models
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Worked on a computer vision system that identified bird species by analyzing high-resolution bird image
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The model segmented bird images into fine-grained parts (e.g., wings, beak, tail) and used extracted features to classify species accurately
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Applied image processing techniques and trained classification models for improved recognition of visually similar bird species
Fit Plan: Personalized Health and Diet Recommendation System
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Contributed to the development of a web-based health platform that collects user data such as name, weight, dietary preferences, and allergies and generates customized fitness and meal plans
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Implemented user input validation, health metric analysis, and rule-based diet recommendations to support user-specific wellness goals