About Me

I have expertise in developing AI systems, neural networks, and data-driven solutions.
My work focuses on data analysis, ML model tuning and deployment.
I'm currently exploring backend programming using nodeJS, Postman and SQL.
I enjoy research in Deep Learning, Image Processing and LLMs.
On the casual side of things I like Illustrating on both traditional and digital mediums
and also have an interest in learning new languages.
Programming and Development
AIML and Data Science
Robotics
Other Tools
Projects

SIR Model Prediction
This Project Visualizes the performance of a trained MLP model on SIR simulation data, highlighting prediction accuracy for susceptible (S), infected (I), and recovered (R) compartments.

AQI Prediction Using MLP
This project applies a Multilayer Perceptron (MLP) Regressor to predict Air Quality Index (AQI) based on pollutant data collected from Indian cities.
The model is trained using the city_day.csv dataset, which contains daily air pollution readings along with AQI values

AQI Prediction using RBFNN
This project applies a Radial Basis Function Neural Network (RBFNN) to predict the Air Quality Index (AQI) based on pollutant data collected from Indian cities.
The model is trained using the city_day.csv dataset, which contains daily air pollution readings along with AQI values.

CI-FAKE CNN Image Classifier
This project applies a Convolutional Neural Network to predict Real vs. AI-synthesized Images using the CIFAKE dataset.
The model is trained with a MobileNetV2 base model.

2-DOF Forward Kinematics
As part of my Kinematics and Dynamics of Robots course, I worked with MATLAB and Simulink to simulate the forward kinematics of a 2-DOF robotic arm.
Using built-in blocks and the Transform Tree, I visualized joint motion and extracted the end-effector’s position in 3D space.


Portfolio Website
This is my personalized portfolio website.
It reflects my work in AI, Robotics and Programming.
Projects, Roles and Skills are displayed in a clean and interactive website.
Experience
Research Intern
Indian Institute of Science (IISc), Bangalore
- Gained hands-on experience in chemical process analysis through practical work with Batch Reactors and GC-MS instrumentation.
- Conducted over 3 literature reviews to identify key chemical indicators, and collected, cleaned, and fine-tuned more than 5 experimental datasets
- Applied both traditional ML algorithms (Linear Regression, SVM, Random Forest) and deep learning models (MLP, CNN) for prediction and classification tasks, achieving up to 85% accuracy and reducing preprocessing time by 30%
- Focused on identifying compound concentrations, reaction yields, and anomaly detection in chemical outputs.
Project Intern
NMAM Institute of Technology, Nitte
- During my internship on the project 3DSCAPE, I led the development of a user-friendly GUI that improved task completion time by 30% and enhanced user experience.
- I followed intuitive design principles and contributed over 250 lines of backend code, assisting with testing and integration
Organizations
IEEE
Executive Committee Member
2025 - Present
IEEE Robotics and Automation Society
Member
2025 - Present
RISE Association
Digital Head
2024 - Present
Robotics Club Nitte
Poster Lead
2024 - Present
Radio Club Nitte
Graphic Designer
2023 - 2024
RISE Association
Graphics Head
2023 - 2024