Motivated Computer Science Engineering student with a strong academic record and a passion for solving real-world problems. Proficient in Java, Python, and C , I have practical experience developing AI-driven web solutions like 'AgriSmart' and a 'Personal Fitness Tracker'. I am eager to apply my technical expertise and enthusiasm for innovation in a dynamic professional environment.
Aspiring Software Engineer skilled in Java, Python, and Web Technologies. With a focus on Machine Learning and interactive application development, I strive to build impactful tools that combine data analytics with user-friendly design. Certified in Gen AI and Software Engineering, I am dedicated to continuous professional growth.
I am a developer driven by a passion for continuous learning and technical excellence. My portfolio includes an AI-powered agricultural dashboard and a machine-learning fitness tracker, showcasing my ability to turn complex logic into practical web applications. I am currently seeking opportunities to contribute my skills in Java, C++, and Python to a forward-thinking organization
LANGUAGES: Java Python C C++ HTML CSS
FRAMEWORKS: Numpy Pandas JavaFX Matplotlib
TOOLS: IDLE Pycharm VS Code Jupyter GitHub
Duration: 6 weeks (Feb-2025 to Mar-2025)
- A joint CSR initiative of Microsoft & SAP,implemented by Edunet Foundation
Completed a 6-week internship focused on AI and Machine Learning. Gained hands-on experience in developing AI models, data analysis, and implementing machine learning algorithms. Collaborated on projects that enhanced my understanding of AI applications in real-world scenarios.
Duration: 6 weeks (Jan-2026 to Feb-2026)
- A joint CSR initiative of IBM & SkillsBuild, implemented by Edunet Foundation
Completed 6 week Internship on Artificial Intelligence & Machine Learning in collaboration withAll India Council for Technical Education (AICTE), implemented by Edunet Foundation, from 15th Jan, 2026 to 26th Feb, 2026. Collaborated on projects that enhanced my understanding of AI applications in real-world scenarios.
Developed a web-based fitness tracker using machine learning to predict calorie expenditure based on user input (age, gender, BMI, heart rate, etc.). Built and deployed an interactive tool for personalized health insights, focusing on practical data analysis and user experience.
AgriSmart interactive agricultural analytics dashboard with AI-driven crop recommendations, Chart.js visualizations, voice commands & TTS (EN/HI), and a floating chat assistant. Supports regional filters, data export, and localStorage-backed chat history.
An educational web application that allows users to experience an intuitive and efficient learning environment. Built to help manage content, collaborate, and provide interactive educational tools for students and educators.
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English, Tamil, Telugu, Kannada, Hindi
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