A Little More About Me
Academic Journey
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Academic Journey
- BE Honors in Computer Science and Engineering @ Global Academy of Technology | CGPA:9.15
- Carmel Pre-University College | Percentage:93.6
- Carmel High School(ICSE) | Percentage:87.00%
Soft Skills
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Soft Skills
- Creative Problem-Solver
- Analytical Thinker
- Passionate Researcher
Fun Fact
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Fun Fact
- Photography & Design enthusiast
- Proficient in Canva
- Loves Adobe Creative Suite
Professional Experience
Full Stack Developer Intern
Projectstudio.ai | September 2025 - March 2026
Contributed to the development of core platform features for a vertical SaaS product by designing and integrating backend APIs using Django and PostgreSQL. Worked on building and enhancing frontend components within the platform using Vue.js, improving responsiveness and overall user experience. Additionally, revamped the company’s business website by migrating it from WordPress to a static site built with Astro, which improved performance and streamlined the deployment process.
Software Developement Intern
TreisTek India Pvt. Ltd. | January-April 2025
Developed a responsive dashboard using React.js and Tailwind CSS as part of an Accessibility Compliance Toolkit. Identified and fixed accessibility issues to align with WCAG 2.1 standards.
Web Developement Intern
Center for Deveopement of Telematics | November-December 2023
Worked on a Django web application to implement file upload and retrieval features. Improved backend data handling efficiency by 40% through optimized database interactions and robust file management.
My Projects
AI Model Marketplace using IOTA Blockchain
Developed a decentralized platform that allows users to buy, sell, and collaborate on AI models. Integrated IPFS for model storage, mock IOTA for blockchain simulation, Firebase for authentication, and Razorpay for payments.
Personalized Learning Website
Created an engaging web-based platform for 8th–10th grade students to learn programming fundamentals through videos, games, audio lessons, and interactive animations.
Parkinson’s Detection with XAI
Built an ensemble model for early Parkinson’s detection with 97.4% accuracy, using LIME and SHAP for interpretability and key feature analysis.
Alzheimer’s Prediction Model
A machine learning model that predicts Alzheimer's with 95.9% accuracy, a significant contribution to early detection research.
Earthquake Prediction Neural Network
A published research paper on using neural networks for earthquake prediction based on graphical data.
Technical Skills
Frontend
Backend
Languages
Tools
Design
Microsoft Office
Publications
Graphical Data to Predict Earthquakes
BVICAM, INDIACom
Alzheimer’s Disease ML Approaches
IEEE IoT Conference
Certifications
Machine Learning Foundation
Infosys Springboard
Data Science Foundation
Infosys Springboard
Java Full Stack Development
Wipro TalentNext
Full Stack Web Development Boot Camp
Dexterity
Java Programming
Infosys Springboard
The Complete Python Bootcamp
Udemy