I'm a Full Stack & AI Engineer passionate about building production-grade systems that blend modern web technologies with cutting-edge AI, Machine Learning, and Blockchain. I specialize in ML pipelines, Spring Boot backends, React frontends, and Decentralized apps.

• 🔭 Currently building VaultHUB (Blockchain vault dApp) and DeepFake Detection System
• 🌱 Deep diving into Agentic AI, Solidity/Ethereum, and FinTech Analytics
• 🎓 3rd Year B.E. CSE at Chitkara University (CGPA: 9.54)
• 🏆 HackIndia Web3 Finalist | HackMol Qualifier | Chancellor's Award Winner
• 💬 Ask me about React, Spring Boot, Python, ML, Solidity, System Design
• 📫 Reach me: [email protected]
• ⚡ Fun fact: I design 80+ creatives AND write ML models in the same week!

• Led cross-functional design team delivering 80+ creatives on deadline
• Demonstrated project ownership, stakeholder management and creative leadership at scale

• Trained 50+ students in C programming; recognized for clear technical communication
• Translated complex concepts into accessible language for non-technical audiences

Tech Stack: TensorFlow Keras MobileNetV2 Vision Transformer (ViT) OpenCV NumPy Pandas Python

• Designed and compared CNN (MobileNetV2) and Transformer (ViT)-based architectures for deepfake detection, achieving 94.9% and 92% accuracy respectively across diverse video sources
• Built an end-to-end automated video analysis pipeline using OpenCV for frame extraction, feature engineering, and real-time classification of manipulated media content
• Applied transfer learning and large-scale dataset augmentation to significantly enhance model robustness, generalization, and reliability on unseen real-world data
• Conducted cross-architecture benchmarking via cross-validation and statistical performance analysis to drive prescriptive model selection; findings presented to both technical and non-technical audiences
• Engineered scalable data pipeline from raw video → frame extraction → feature engineering → model inference → real-time output, achieving production-grade reliability throughout the workflow

Tech Stack: Solidity Ethereum Hardhat React MetaMask Ethers.js IPFS Pinata Vercel

• Built a fully decentralized file vault using Solidity smart contracts developed on Hardhat and deployed to Ethereum Sepolia testnet
• Integrated MetaMask wallet authentication with role-based wallet permissions for secure vault ownership and controlled file sharing between addresses
• Implemented IPFS + Pinata distributed storage with wallet-based view access control and immutable on-chain file ownership records
• Developed and deployed a responsive React dApp on Vercel using Ethers.js for smart contract interaction and real-time transaction feedback to users
• Architected the system with decentralized trust principles — no central server stores user files; all access control logic lives on-chain via Solidity, ensuring censorship resistance and tamper-proof ownership

Tech Stack: Java Spring Boot React MySQL Hibernate JPA JWT REST APIs JavaScript

• Developed a full-stack fundraising and donation platform enabling secure transactions, donor management, and transparent fund tracking with real-time contribution analytics
• Built RESTful APIs using Spring Boot integrated with a React frontend, and implemented Hibernate ORM with MySQL for efficient relational data management
• Added JWT-based authentication and role-based authorization for admins and donors to manage campaigns, donations, and complete user history
• Designed interactive dashboards displaying active campaigns, donation history, and real-time analytics — translating complex financial data into actionable insights for non-technical stakeholders
• Optimized backend API performance using Java Streams, collections, and efficient SQL queries, improving response time for analytics queries and achieving 99% uptime on cloud-ready infrastructure

Tech Stack: Arduino ESP8266 LDR Sensors Servo Motor C ThingSpeak AWS EC2 CloudWatch

• Designed an IoT-based solar tracking system that automatically orients a solar panel toward the sun using LDR sensors and a servo motor, maximizing energy capture throughout the day
• Implemented real-time light intensity detection with motor movement dynamically adjusting based on sunlight direction via calibrated sensor threshold logic written in C
• Integrated ESP8266 module for wireless data transmission, continuously sending light-intensity readings and panel status updates to ThingSpeak IoT cloud for live monitoring
• Deployed a cloud-based monitoring dashboard on AWS (EC2 + CloudWatch) providing ongoing post-implementation tracking and alerting across distributed sensor nodes
• Optimized system accuracy and responsiveness through calibrated sensor thresholds and efficient motor control logic, analogous to real-time adaptive optimization systems in production environments

💻 Languages        ████████████████████  Java · Python · JS · C · SQL · Solidity
🌐 Web Dev          ██████████████████░░  React · Spring Boot · Node · Express
🧠 AI / ML          ████████████████░░░░  TensorFlow · PyTorch · OpenCV · CNNs · ViT
🔗 Blockchain       ██████████████░░░░░░  Solidity · Ethereum · IPFS · MetaMask
☁️ Cloud & DevOps   ████████████░░░░░░░░  AWS · Docker · Git · Linux · Vercel
🗄️ Databases        ██████████░░░░░░░░░░  MySQL · MongoDB