Innovative and detail-oriented AI and Web Development enthusiast from Nellore, AP, with a passion for building intelligent and responsive systems. Skilled in Python, machine learning, web development, and data analysis, with hands-on experience in full-stack development and AI-powered applications.
Developed a full-stack application using Python, ReactJS, NodeJS, ExpressJS, MongoDB, and Flask, providing AI-powered medical assistance, including Medicine Classifier, Prescription Analyzer, Medical Chatbot, hospital navigation, health recommendations, e-commerce platform, and doctor appointment system.
View ProjectEngineered a quadrant-based steganography system using PyTorch, Flask, ReactJS, and SQLite, achieving an average PSNR of 76.61 dB and near-lossless decoding with PSNR of 83.26 dB.
View ProjectIntegrated BLIP for captioning, YOLOVS for object detection, and spaCyTextBlob for sentiment and keyword extraction, reducing image query latency by 45% using Flask and Python.
View ProjectBuilt a real-time cricket chase prediction model using Python, PySpark, TensorFlow, and Flask, achieving 86% accuracy on 4.2M records with sub-2s latency.
View ProjectInnovative and detail-oriented professional with a passion for leveraging AI and web development to create impactful solutions. Skilled in Python, machine learning, full-stack development, and data analysis. Seeking to contribute expertise in AI-driven applications and responsive web systems to a forward-thinking organization.
Developed three responsive web pages using HTML, CSS, JavaScript, and Bootstrap. Enhanced user experience and reduced page load time by 25% across five modules.
Issued by University of Helsinki.
Issued by Udemy.
Issued by Amazon.
Issued by Infosys Springboard.
Building predictive and classification models with TensorFlow and SciKit-learn.
Creating responsive web applications with modern frameworks like ReactJS and Flask.
Exploring AI-driven content generation and automation.
Applying efficient algorithms and data structures for optimized solutions.
Designing and managing databases with MySQL and MongoDB.
Leveraging AWS Cloud for scalable and efficient deployments.
Published "Comparative Analysis of ML, DL, and Statistical Models on Credit Risk Prediction" on IEEE Explore (DOI: 10.1109/AIDE6.4228.2025.10987509).
Winner of SAP Hackfest - Regional Round.
Solved 200+ coding problems on LeetCode and HackerRank.