Hello, I'm Harish Vijay V

AI/ML Researcher & Computer Science Student

Passionate about deep learning, computer vision, and natural language processing. Published researcher at NAACL 2025 with expertise in multimodal AI systems.

AI Research

3 NAACL 2025 Publications

Hackathons

Multiple Winner

CGPA

8.8/10

About Me

Computer Science & AI Student with Research Excellence

I'm a B.Tech Computer Science and Engineering (AI) student at Amrita School of AI, Amrita Vishwa Vidyapeetham, Coimbatore, with a strong passion for artificial intelligence and machine learning research.

My research focuses on multimodal AI systems, natural language processing for low-resource languages, and computer vision applications. I have published three papers at NAACL 2025 and have hands-on experience in deep learning, medical imaging, and speech processing.

Education

B.Tech in Computer Science and Engineering (AI)

Amrita School of AI, Amrita Vishwa Vidyapeetham

2022 - 2026 (Expected) | CGPA: 8.8

Technical Skills

Programming

Python SQL

Deep Learning

MLP CNN RNN/LSTM Transformers LLMs

Tools & Libraries

TensorFlow PyTorch NumPy Pandas

Featured Projects

Innovative AI/ML solutions across various domains

Sketch-to-Image using GAN

Developed a Generative Adversarial Network combining U-Net generator and PatchGAN discriminator to transform sketches into realistic images.

GAN U-Net Computer Vision
July 2024 - Sep 2024

Underwater Image Enhancement

Implemented CNN-based architecture to improve underwater image quality through enhanced clarity and color balance using direct pixel manipulation.

CNN Image Processing Enhancement
Jan 2025 - Feb 2025

AI Dietary Recommendation System

Winner of Nutritech Hackathon. Developed an AI-powered dietary recommendation system using RAG-based knowledge graphs for improved accuracy.

RAG Knowledge Graphs AI
Hackathon Winner

Youth Employability Platform

Winner of Code4Change Hackathon. Built a comprehensive solution with chatbot, community platform, and job search system to tackle youth employability challenges.

Chatbot Community Platform Social Impact
Hackathon Winner

Publications & Research

Published research in top-tier conferences and journals

NAACL 2025 Publications

KAN-based Offensive Meme Detection in Dravidian Languages

Utilized Knowledge-Enhanced Neural Networks (KAN) for detecting offensive content in memes by integrating image and text modalities in Dravidian languages.

Multimodal AI NLP KAN
Jan 2025 - Feb 2025

Multimodal Misogyny Detection in Dravidian Languages

Developed a multimodal deep learning framework integrating Vision Transformers and BERT for misogyny detection in Dravidian languages.

Vision Transformers BERT Social Computing
Dec 2024 - Feb 2025

Decoding Emotions in Tamil and Tulu through Deep Models

Built a hybrid CNN-RNN model for sentiment analysis on code-mixed Tamil-English and Tulu-English texts with low-resource handling.

CNN-RNN Sentiment Analysis Low-Resource
Nov 2024 - Feb 2025

Book Chapters

Improving Multilingual Speech Emotion Recognition in Tamil and English

Proposed a 1D Dense Neural Network for speaker-independent Tamil-English speech emotion recognition using OpenSMILE, Whisper, and MuRIL embeddings.

Speech Processing Emotion Recognition Multilingual
Springer (Scopus Indexed)

Conference Presentations

Enhancing Financial Text Analysis using Transformer Models

Fine-tuned BERT, ALBERT, and RoBERTa using few-shot learning for financial sentiment analysis.

CSCT 2024 (Scopus Indexed)

Inverse Kinematics Analysis using MLP and KAN Models

Comparative study of MLP, PyKAN, Chebyshev KAN, Fast KAN, and Fourier KAN for solving inverse kinematics of 3-DOF manipulators.

RCAAI 2024 (Scopus Indexed)

Deep Learning Approaches for Sleep Apnea Detection

Designed a novel preprocessing pipeline (interpolation, RR intervals & R-peaks fusion) for detecting sleep apnea using deep learning.

SPIN 2025 (Scopus Indexed)

Experience

Research and teaching experience in AI/ML

Research Intern

Indian Institute of Technology (IIT-Guwahati)
Mar 2025 - May 2025

Project: Hemorrhage detection and segmentation for medical imaging applications

Mentors: Dr. Debanga Raj Neog and Dr. Mithun Kumar Kar

  • Working on medical image analysis focused on hemorrhage detection using deep learning techniques
Proof Link

Teaching Assistant

Amrita Vishwa Vidyapeetham
Aug 2024 - Nov 2024

Course: Deep Learning

Mentor: Dr. Mithun Kumar Kar (Ph.D.)

  • Assisted in conducting lab sessions
  • Simplified complex deep learning codes to make them easier for students to understand and enjoy
  • Enabled students to experience the power of deep learning models

Achievements & Activities

Recognition and leadership experiences

Hackathon Winner

Winner of Nutritech and Code4Change hackathons with innovative AI solutions

LeetCode 200+

Solved over 200 problems demonstrating strong algorithmic skills

View Profile

AI Club Lead

Led AI club and presented Gesture Control Robot at Anokha Tech Fest

NGO Volunteer

Contributing to Team Everest for educational initiatives and community outreach

Get In Touch

Let's collaborate on exciting AI/ML projects

Location

Coimbatore, India