KHUSHI ARORA

A highly motivated and detail-oriented Computer Science student with a strong foundation in Python, Java, C/C++, SQL, and frontend development. Passionate about designing intuitive UI/UX experiences and developing innovative, user-centric solutions that seamlessly integrate technology with business needs. Enthusiastic about AI and its transformative applications in solving real-world challenges, with hands-on experience in software development, blockchain, and scalable web technologies. A quick learner with exceptional problem-solving and analytical skills, eager to explore cutting-edge advancements and contribute to impactful, data-driven solutions in AI, cybersecurity, and cloud computing.

• Programme Representative, 2022-23, VIT
• Merit Scholarship, 2022-23, VIT
• Merit Scholarship, 2023-24, VIT
• Web Development Internship, June-July 2024, Prodigy InfoTech
• SWITCHuation Hackathon, Sept 2024, VIT

1. Academic Excellence

• Merit Scholarship Recipient (2022-23) -VIT
• Branch Topper with a CGPA of 9.88 in the M.Tech (Integrated) CSE program.
• Merit Scholarship Recipient (2023-24)-VIT
• Maintained outstanding academic performance with a CGPA of 9.39.

2. Leadership & Representation

• Programme Representative (2022-23)-VIT
• Led academic initiatives, coordinated events, and facilitated student engagement.

3. Technical & Project Achievements

• Developed a Secure Blockchain-Based Voting System using Hyperledger Fabric and Polygon.
• Implemented an AI-Powered Call Anomaly Detection System enhancing fraud detection with NLP and ML.
• Built a Scalable RESTful API for an E-Commerce Platform ensuring seamless operations with AWS integration.

4. Hackathons & Competitions

• Finalist in SWITCHuation Hackathon (Gravitas'24, Sept 2024) – VIT
• Active participant in coding competitions and AI-based hackathons.

5. Internship Experience

• Completed a Web Development Internship at Prodigy InfoTech (June - July 2024).
• Worked on frontend and backend technologies to develop responsive web applications.

6. Technical Skills & Certifications

• Proficient in Python, Java, C/C++, JavaScript, SQL, Node.js, MongoDB.
• Earned Web Development Internship Certification from Prodigy InfoTech.

1. Vellore Institute of Technology (VIT)

• Programme Representative (2022-23) – Led and coordinated program-related activities for the M.Tech (Integrated) CSE program.
• Merit Scholarship Recipient (2022-23, 2023-24) – Awarded for outstanding academic performance.
• Participant in SWITCHuation Hackathon (Gravitas'24, Sept 2024) – A technical competition organized by VIT.

2. Prodigy InfoTech

• Web Development Intern (June - July 2024) – Gained hands-on experience in frontend and backend web technologies.

3. Hackathon & Coding Competitions

• Participant in various hackathons and coding competitions – Engaged in AI, blockchain, and software development challenges.

Projects Undertaken

1. Secure Blockchain-Based Voting System

Designed and developed a decentralized voting system leveraging blockchain technology to enhance election security and transparency. This system ensures that votes remain immutable and tamper-proof while maintaining voter anonymity.

Key Features:

• Implemented Hyperledger Fabric and Polygon blockchain for secure vote recording.
• Designed smart contracts using Solidity to ensure election integrity.
• Developed an intuitive UI with React.js for seamless voter interaction.
• Deployed on AWS for scalability and reliability.
• Technologies Used: React.js, Flask, Hyperledger Fabric, Polygon, Solidity, Web3.js, AWS

2. AI-Powered Call Anomaly Detection System

Developed an AI-based system that detects fraudulent and spam calls using Natural Language Processing (NLP) and machine learning techniques. This system enhances communication security by identifying suspicious patterns in real-time conversations.

Key Features:

• Integrated Twilio API for real-time call monitoring and analysis.
• Implemented Google Speech-to-Text for speech recognition and transcription.
• Developed AI models using OpenAI Whisper, BERT, and GPT for anomaly detection.
• Utilized RAG framework and Vector Databases to analyze conversation history.
• Technologies Used: Twilio, Google Speech-to-Text, OpenAI Whisper, BERT, GPT, RAG Framework, Vector Databases

3. Scalable RESTful API for E-Commerce Platform

Designed and built a scalable RESTful API to manage an e-commerce platform’s products, orders, and customer data. The API ensures secure transactions, optimized performance, and easy integration with front-end systems.

Key Features:

• Developed a Node.js & Express.js backend with MongoDB as the database.
• Implemented OAuth 2.0 authentication for secure user access.
• Built API endpoints for product management, order processing, and customer data handling.
• Ensured API security and performance optimization using Postman testing and AWS deployment.
• Technologies Used: Node.js, Express.js, MongoDB, OAuth 2.0, Postman, AWS, Git