Full Stack Developer & Data Scientist
I'm a passionate Full Stack Developer and Data Scientist with expertise in building scalable web applications and implementing machine learning solutions. Currently pursuing my B.Tech in Computer Science Engineering at Deccan College of Engineering and Technology.
My expertise spans across MERN stack development, Java Spring Boot, and machine learning frameworks like TensorFlow and Scikit-learn. I'm driven by the challenge of creating innovative solutions that merge data intelligence with intuitive user experiences.
React Native • Expo • Node.js • MongoDB • UPI Deeplinks
Hyperlocal community superapp focused on solving everyday neighborhood needs. Combines free item sharing, local gigs, community support, and safe cash ↔ UPI exchange using UPI deeplinks. Built for trust, proximity, and real-world utility.
Node.js • Express • MongoDB • GeoLocation • Authentication
Location-based employee management system featuring geo-fenced attendance. Employees can clock in only within a 100m office radius, preventing proxy attendance. Includes admin controls, secure login, and streamlined workforce tracking.
LangChain • OpenAI • Vector Database • Python • NLP
Advanced Retrieval-Augmented Generation system leveraging LangChain and vector databases. Implements intelligent document processing and contextual response generation for enhanced AI interactions.
Computer Vision • Deep Learning • TensorFlow • CNN
AI-powered car damage detection system using convolutional neural networks. Automatically identifies and classifies vehicle damage from images with high accuracy for insurance and assessment applications.
React.js • Node.js • PDF Generation • Responsive Design
Interactive resume builder with real-time preview and multiple template options. Features dynamic form handling, PDF export functionality, and modern UI for professional resume creation.
MERN Stack • MongoDB • Express.js • React.js • Node.js
Interactive task management platform with gamification. Features leaderboards and achievement systems, increasing user engagement by 45%. Optimized performance reducing page load time by 30%.
Machine Learning • Python • Flask • Jupyter Notebook
Flask-based ML platform for predictive agriculture models. Achieved 88% prediction accuracy with optimized data preprocessing pipelines. Improved accessibility and decision accuracy by 40%.
Node.js • Express • MongoDB • EJS
Full-stack rental platform for property listings. Features user authentication, reviews, and dynamic listing management. Improved data retrieval speed by 40% with optimized database operations.
Python • Machine Learning • Flask
Supervised ML pipeline for diabetes prediction achieving 90% model accuracy. Implemented comprehensive data preprocessing and feature scaling with Scikit-learn for early health risk detection.
Python • Flask • Machine Learning • Render
ML-powered sensor fault detection system with real-time monitoring capabilities. Deployed on Render with optimized backend performance for scalability and reliability.
SFON Technologies LLP — Hyderabad
SpikiTech AI — Hyderabad
ITGSS Hyderabad
Secured 3rd position out of 280+ teams for developing an innovative AI-in-Agriculture solution
Reached Top 72 out of 441 global teams in GitHub-powered hackathon by E-Cell MJCET
Oracle Cloud Infrastructure 2025 Certified Data Science Professional
Technology Job Simulation on Forage - Completed May 2025
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.