Introduction
I'm a full-stack developer with a strong focus on backend engineering. I enjoy building scalable, high-performance systems using technologies like Node.js, Express, MongoDB, and Firebase. I'm also passionate about Artificial Intelligence and Machine Learning, and actively explore problems in predictive modeling and data-driven solutions.
I take pride in writing clean, maintainable code and designing systems with a clear architectural vision. I thrive in collaborative environments, enjoy breaking down complex problems, and value continuous learning — always looking for new ways to push the boundaries of what I can build.
My Academic Journey
VIT Pune
Nowrosjee Wadia College, Pune
Hume Mc Henry School, Pune
What I have done so far
Cognify Technologies
My work
Following projects showcases my skills and experience through real-world examples of my work. Each project is briefly described with links to code repositories and live demos in it. It reflects my ability to solve complex problems, work with different technologies, and manage projects effectively.
A deep learning project that ensures secure real-time face authentication using CNN-based liveness detection models with TensorFlow and ONNX, built with Streamlit and JavaScript. Finalist project at Smart India Hackathon 2024.
#deep-learning
#tensorflow
#onnx
#streamlit
#sih-2024
A Java Swing-based application developed using WindowBuilder. The system allows Dealers to manage vehicles, Customers to browse and request purchases, and an Admin to oversee all users and listings. Built using Object-Oriented Programming principles with GUI components like JPanels, JTables, and Applets.
#java
#swing
#object-oriented
#windowbuilder
#gui
A machine learning project that classifies soil fertility based on nutrient composition (N, P, K, pH, EC, etc.) into three classes: Less Fertile, Fertile, and Highly Fertile. Achieved 94.95% accuracy using Random Forest Classifier.
#machine-learning
#random-forest
#svm
#knn
#jupyter-notebook
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