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Hi! I’m
Kopika Muralidharan


About Me

Welcome to my portfolio! I’m an aspiring Software Engineer specializing in AI/ML, currently pursuing my B.Tech in Computer Science and Engineering (AI & ML) at VIT Chennai. I work on building LLM-driven systems, agentic AI workflows, predictive models, and computer vision pipelines, with hands-on experience in RAG, NLP, CNN-based anomaly detection, and AI-powered applications.


Here, you’ll find my projects in machine learning, deep learning, computer vision, and intelligent automation. I enjoy creating solutions that are intuitive, scalable, and impactful.


Beyond tech, I’m passionate about art, design, reading, and movies, which often influence my creativity and problem-solving style. Feel free to explore my work, collaborate, or just say hello!


My Education


High School Diploma (2008 - 2022)

Toc-H Public School, Kochi, Kerala, India.

CBSE Board - 12 th - 94.6%.

CBSE Board - 10 th - 95.2%.

B.Tech in Computer Science Engineering with Specialization in AI and ML (2022 - 2026)

Vellore Institute of Technology, Chennai, Tamil Nadu, India.

CGPA - 8.69.

My Experience


Software Engineer Intern (2024)

FLSmidth Private Limited.

Worked on photogrammetry, image processing, 3D reconstruction, and modeling for mining equipment degradation analysis.


Skills

I am familiar and skilled in a variety of programming languages, frameworks, and libraries.

Languages

Python
Java
C
C++
Javascript
HTML5
CSS3
SQL

Frameworks and Libraries

React.js
Node.js
Express.js
Tailwind CSS
Bootstrap
Flask
OpenCV
TensorFlow
Keras
PyTorch
NumPy
Pandas
Matplotlib
Seaborn
LangChain
LLMs

Tools

AWS
Jupyter Notebook
VS Code
Cursor
Git
GitHub
Figma
Vercel
Streamlit

Databases

MySQL
Upstash-Redis

Projects

See all →

AskLegal.ai - AI-Legal Assistant

AI assistant to help with legal queries, with a RAG model trained on the Indian Penal Code and real case documents to provide accurate, in-depth solutions for court cases.

MeetMate - AI-Meeting Assistant

MeetMate is an AI-powered virtual meeting assistant that lets users quickly generate detailed summaries and documents about their meetings.

AI-Coding Assistant

An intelligent assistant designed to simplify programming by offering real-time help on coding queries, giving precise answers, and generating code snippets to boost productivity.

Multi-class Abnormality Detection in VCE

Uses CNN architecture and ensemble learning to identify abnormalities in the vast data generated during Video Capsule Endoscopy (VCE) and explains the model decisions using XAI techniques such as SHAP, LIME and Grad-CAM.

Explainable AI Based Network Intrusion Detection

A two-stage Intrusion Detection System powered by Explainable AI (LIME, SHAP, PDP, ICE, etc.) and ML models like Random Forest, XGBoost, LightGBM, CatBoost, etc., that detects cyberattacks and explains which features triggered each alert.

Agentic AI Projects

A collection of hands-on mini agentic AI projects. Each project demonstrates autonomous AI agents capable of reasoning, planning, and using tools to perform tasks—such as writing sales emails, launching products, and more.


Contact Me



Or send a mail to kopika0208@gmail.com