About
Computer Science (AI) graduate with hands-on experience in software development, DevOps, AI/ML, network systems testing, automation, and cybersecurity. Has built ML-powered applications, worked on data-center switching platform validation, and published IEEE research.
Experience
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SysTest Software Engineering InternArista Networks India Pvt. Ltd.Jan 2026 – Jun 2026
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Virtual Intern (Internship 6.0)Infosys SpringboardAug 2025 – Oct 2025
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Artificial Intelligence MentorNov 2023 – Jul 2025
Education
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B.Tech in Computer Science (Artificial Intelligence)Amrita Vishwa VidyapeethamComputer Science (Artificial Intelligence) · Sep 2022 – Aug 2026
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Intermediate Education (Mathematics & Science)Oxford Jr. CollegeMathematics & Science · Jun 2020 – Apr 2022
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Secondary Education (Mathematics & Science)Oxford High SchoolMathematics & Science · Jun 2019 – Mar 2020
Skills
- SQL
- Computer Vision
- Deep Learning
- Python
- Machine Learning
- Java
- React
- Flask
- Debugging
- Network Management
- BGP
- OSPF
- Service Quality
- API Integration Understanding
- Multithreading
- CI/CD
- Natural Language Processing
- Secure Coding
- Lifecycle Management
- Design Systems
- TCP/IP
- Log Analysis
- Vulnerability Research
- Data Structures and Algorithms
- System Validation
- Socket Programming
- Network Testing
- STP
- Rsa Encryption
- ARP
- AES
Projects
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Facial Recognition Attendance SystemOpenCV, Flask, CSV
Developed a real-time attendance logging system using facial recognition and CSV export. Reduced manual attendance errors by 90% across 100+ student records.
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AI-Based Network Intrusion Detection System (NIDS) for Threat AnalysisPython, Flask, React, MongoDB, AES, RSA
Built an ML-based NIDS for threat analysis, vulnerability research, log analysis, and network traffic classification, securing security logs with AES and RSA encryption. Achieved 95% threat detection accuracy with secure coding and performance optimization.
Courses & certifications
- MOOC courses in Machine Learning, NLP, Blockchain, and Cloud Computing · Coursera, AWS, Udemy, Great Learning · 2025
🏆 Achievements & awards
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Hackathon Finalist · 2025
Finalist at Geekathon (VIT-AP, 2023), Hack-SRM (2024), Anvesh Gaming (2024), and Vashisht 2.0 (IIIT Kancheepuram, 2025).
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IEEE GIEST Conference Paper Co-author · 2024
Co-authored a conference paper on neural network-based breast cancer prediction.
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Published IEEE Access Paper
Authored and published “AI-Powered Unit Test Generation via Multi-LLM Chaining: A Case Study with GPT-4o, Gemini, and Claude 3.5” in IEEE Access.
⚽ Extracurricular activities
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Artificial Intelligence Mentor
Mentored students in Python and AI fundamentals and supported hands-on project development.
📚 Publications
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AI-Powered Unit Test Generation via Multi-LLM Chaining: A Case Study with GPT-4o, Gemini, and Claude 3.5
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Neural network-based breast cancer prediction · 2024
🎯 Hobbies & interests
- Reading Books