About
Aspiring Information Science and Engineering student with hands-on experience in full-stack web development and software projects. Strong problem-solving skills with experience in Java, Python, JavaScript, React.js, Node.js, Express.js, MongoDB, and REST APIs.
Experience
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InternshipIEEE Computer SocietyMay 2026 – Present
Working on an AI-powered cyber threat prediction system using machine learning and network behavior analysis. Focused on analyzing network traffic patterns, detecting anomalies, and predicting potential cyber threats using AI and cybersecurity concepts. Key tools and technologies used: Python, machine learning, network analysis, and technical documentation.
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Virtual Internship 7.0Infosys SpringboardMay 2026 – Present
Assigned to the Intelligent Feature Deployment and Rollout Platform and gaining practical experience in software development, feature deployment, and rollout management.
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Deloitte Technology Job SimulationMar 2026 – 2026
Completed a virtual simulation focused on data unification and software proposal development for a global industrial client. Key tools used: Python, JSON, and technical documentation.
Education
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Bachelor of EngineeringVemana Institute of Technology, Bengaluru2023 – 2027
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XI and XIIBGS PU CollegePCMC · 2021 – 2023
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XSt.Ann’s School2021
Skills
Tools / apps / platforms
Projects
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Smart Career AdvisorPython, scikit-learn, Jupyter Notebook
Built a system recommending career paths based on skills, interests, and academic performance. Preprocessed user data and evaluated model effectiveness.
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AI Resume Analyzer & Portfolio Coach – ApplyEdgeReact.js, Node.js, Express.js, MongoDB, Gemini API, JavaScript, VS Code
Developed and debugged a full-stack AI-powered application for automated resume analysis and personalized career feedback using the Gemini API. Built a responsive React.js frontend and RESTful backend using Node.js and Express.js, with MongoDB for data management and API integration.
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FedMedAI-ViT – Secure Multi-Disease Medical AI DiagnosisPython, PyTorch, Federated Learning, Vision Transformer, Flower, TenSEAL, CKKS, Differential Privacy, Streamlit
Developed a privacy-preserving federated learning system for multi-disease medical diagnosis using MRI, EEG, and retinal image datasets while keeping patient data locally. Integrated Vision Transformers, Differential Privacy, CKKS Homomorphic Encryption, and FedProx aggregation to improve security and enable collaborative AI model training.