Machine Learning Engineer
Building AI Solutions

Aspiring AI Engineer/ Eunterpuner passionate about transforming complex data into intelligent systems. Currently building skills in Computer Vision, Natural Language Processing, and Deep Learning as a first-year B.Tech student.

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neural_network.py 
import tensorflow as tf

class DeepLearningModel:
    def __init__(self, layers):
        self.model = tf.keras.Sequential([
            tf.keras.layers.Dense(128, activation='relu'),
            tf.keras.layers.Dropout(0.3),
            tf.keras.layers.Dense(64, activation='relu'),
            tf.keras.layers.Dense(10, activation='softmax')
        ])
    
    def train(self, X, y):
        self.model.compile(
            optimizer='adam',
            loss='categorical_crossentropy',
            metrics=['accuracy']
        )
        return self.model.fit(X, y, epochs=100)

Featured Projects

Showcasing innovative ML solutions across different domains

Medical Image Analysis
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Heart Disease Risk Analyzer

I developed an end-to-end machine learning app to predict heart disease risk using a K-Nearest Neighbors model. The interactive interface is built with Streamlit and Plotly, and the project is version-controlled with Git and deployed live on Streamlit Cloud.

Python Steamlit KNN_MODEL
88.6% Accuracy
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Medical Insurance Charge Predictor

This project builds a machine learning model to predict an individual's medical insurance costs based on personal data like age, BMI, and smoking status.

Python Streanlit pandas Numpy Matplotlib Linear Regression model
80% ADJ R2