Educational Background

Academic Details:

Completed an undergraduate program in Computer Science and Engineering with a specialization in Artificial Intelligence. The program emphasized both theoretical foundations and hands-on application of AI techniques across domains such as machine learning, natural language processing, and computer vision. The curriculum integrated core computing principles with modern AI methodologies to prepare for real-world challenges in the tech industry.

• Degree: Bachelor of Technology in Computer Science and Engineering (Artificial Intelligence)

• Institution: Amrita School of Computing, Amrita Vishwa Vidyapeetham

• Graduation Year: 2023

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Key Focus Areas:

• Artificial Intelligence & Machine Learning

• Deep Reinforcement Learning

• Natural Language Processing

• Computer Vision

• Software Vulnerability & Intrusion Detection

• Data Structures and Algorithms

• Big Data & Database Systems

• Robotics and Digital Manufacturing

Selected Coursework:

• Deep Reinforcement Learning

• AI in Natural Language Processing

• AI in Speech Processing

• Deep Learning for Signal & Image Processing

• Reinforcement Learning

• Data Structures & Algorithms (I & II)

• Big Data Analytics and Database Management

• Software Vulnerability Analysis

• Robotic Operating Systems & Simulation

• Financial Time Series Analysis

• Operating Systems

• Formal Language and Automata

• Applied Cryptography

• Design and Analysis of Algorithms

• Python for Machine Learning

• Environmental Science

• Disaster Management

• Indian Constitution and Indian Classics

• Soft Skills (I–III), Amrita Values Programs

Capstone Project:

Developed two research-driven AI-based solutions as part of the final-year capstone project:

• Phase I – Background Audio Generation for Videos: Designed and implemented multiple deep learning models to autonomously generate background audio for video scenes. The system leveraged temporal cues and contextual understanding to enhance the auditory experience, enabling seamless audio-visual integration for improved viewer engagement.
  This project was published in the proceedings of the International Conference on Computing, Communication and Networking Technologies (ICCCNT).

• Phase II – English–German Bidirectional Translation Using Transcripts:
  Developed a bidirectional text-based translation system to convert transcripts between English and German. The project integrated natural language processing (NLP) techniques with neural machine translation (NMT) models to accurately translate written content in both directions, enabling effective multilingual communication and content accessibility.

Throughout the program, I gained hands-on experience in designing and implementing intelligent applications, enabling me to apply AI-based solutions to real-world challenges across domains such as security, speech, vision, and automation.