About
Detail-oriented IT graduate with hands-on experience building deep learning and computer vision systems using Python, TensorFlow, and Keras. Skilled in CNN-based recognition, OCR, and NLP-driven text analysis, with practical exposure to model training, image preprocessing, and Django-based integration.
Experience
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IT Department InternD-Code Soft Tech Solutions · HyderabadDec 2023 – —
Completed a 2-week internship focused on IT operations and workflow optimization, contributing to deployment process improvements alongside the engineering team. Demonstrated rapid adaptability to new tools and technologies while delivering high-quality results under time constraints.
Education
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2026
B.TechSt. Martins Engineering CollegeInformation Technology · 2022 – 2026
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2022
IntermediateNSR Impulse Junior College2020 – 2022
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2020
Secondary EducationSri Chaitanya Techno School2019 – 2020
Skills
Tools / apps / platforms
Projects
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Restaurant Billing SystemPython, Tkinter
Developed a Python application automating restaurant order processing, tax calculation, and itemized invoice generation. Built an interactive interface for menu selection and bill generation and applied object-oriented programming principles.
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AI-Enhanced Plagiarism Detection Using Artificial Neural Networks (ANN)Python, TensorFlow/Keras, Scikit-learn, NLTK, spaCy, Pandas
Designed and trained an ANN-based text classification model to detect semantic similarity between text pairs. Engineered an NLP preprocessing pipeline and combined TF-IDF and word embeddings to improve detection of reworded plagiarism.
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AI-Enhanced License Plate Recognition (LPR) SystemPython, TensorFlow, Keras, OpenCV, NumPy, Matplotlib, Django, SQLite
Built a deep learning pipeline using probabilistic CNN models to detect and recognize vehicle license plates under real-world conditions. Applied image preprocessing techniques and OCR to improve character recognition accuracy, used MC-Dropout for uncertainty estimation, and integrated the pipeline end-to-end with Django and SQLite.