Motivated and innovative computer science student with a strong foundation in artificial intelligence (AI), web development, and software engineering. Proficient in Python, Java, SQL, and the MERN stack, with experience in building and optimizing AI-driven applications and web solutions. Skilled in creative problem solving and team collaboration, delivering impactful results in dynamic project environments. Seeking opportunities to apply technical expertise and fresh perspectives to cutting-edge development projects.
June 2022 - May 2026
KL University, HyderabadCGPA: 9.77 / 10
June 2020 - May 2022
Narayana Junior College, HyderabadPercentage: 98.7%
Earned the Advanced Automation Certification, demonstrating proficiency in designing and developing advanced RPA solutions using the Automation Anywhere platform.
Show CredentialRecognized as a Red Hat Certified Enterprise Application Developer with expertise in designing, developing, and maintaining enterprise-grade applications.
Show CredentialEarned the Postman API Fundamentals Student Expert badge by mastering REST APIs, automating workflows, and testing with Postman Collections, Scripts, and Monitors.
Show CredentialCompleted Supervised Machine Learning on Coursera: covered linear regression, neural networks, model evaluation, and regularization with hands-on projects.
Show CredentialBuilt a robust URL shortening service using React, Node.js, Express, and MongoDB, containerized with Docker, and deployed on AWS EC2. Designed to help users easily convert long URLs into compact links with real-time storage and API-driven redirection logic.
AI Traffic Analyzer is a real-time network monitoring web application built with Streamlit. It captures and visualizes live traffic data. Designed for usability, it offers a clean, dynamic interface for efficient traffic analysis.
This project provides a smart web scraping and analysis pipeline to extract and analyze SHL's public assessment catalog. It helps HR teams and AI researchers gain structured access to detailed job screening data.
The app generates 3 unique meal combos daily for 4 days, each with 1 main, 1 side, and 1 beverage, balanced by calories and popularity per day, without repeating items within a day, and includes taste profiles.
AgroSync is an innovative e-commerce platform dedicated to providing fresh, organic vegetables to customers. Our mission is to deliver happiness to your doorstep — one click at a time!
A Smart Agriculture Monitoring System using AWS IoT Core and cloud services to replicate and visualize real-time environmental sensor data for better crop management.