Computer Science Engineering student focused on building responsive web applications, backend services, and API-driven systems.

🎓 Computer Science Engineering student at Jaypee Institute of Information Technology, Noida.

💻 I build responsive web applications, backend services, and API‑driven systems that actually do stuff.

⚛️ My stack: React.js, Node.js, Express.js, FastAPI, Flask, and a splash of Python magic.

🔐 I enjoy crafting authentication workflows, reusable frontend components, and database-backed solutions that don't break at 2 AM.

🤖 I'm deep into applied Machine Learning, Computer Vision, and OCR — and I love integrating them into full‑stack products.

🔨 My mantra: turn ideas into functional, user‑focused products. No fluff, just code.

Data Structures & Algorithms · OOP · DBMS · Operating Systems · Computer Networks

OpenCV · OCR · JWT Authentication · Machine Learning · REST APIs

Full‑stack identity verification system with document OCR, face matching, and a React dashboard.

Stack: Python · FastAPI · React · EasyOCR · DeepFace · OpenCV · Docker

• 📄 Document upload & info extraction
• 🔐 Identity verification with webcam capture
• 📊 Interactive React dashboard for results
• 🐳 Dockerized backend, deployed on Render + Vercel

🔗 Repo: (https://github.com/Ehakl/KYC-onboarding-simulator-)

A browser extension that extracts product data from e‑commerce pages and serves up smart recommendations via a FastAPI backend.

Stack: JavaScript · Chrome Extension · FastAPI · REST APIs · Redis

• 🔎 DOM parsing for product details (title, price, description, image)
• ⚡ Dynamic in‑page UI without reloads
• 🧠 Context tracking across recommendation workflows
• 🔌 REST API integration with Redis caching

🔗 Repo: (https://github.com/Ehakl/reco-base)

Healthcare web application that processes medical reports to deliver disease‑risk predictions and personalized nutrition advice.

Stack: Python · Flask · REST APIs · SQLite · Scikit‑learn · XGBoost · Kotlin

• 📄 OCR‑powered report processing
• 🧠 ML workflows: XGBoost, Random Forest, Logistic Regression
• 📱 Jetpack Compose UI for mobile
• 🗄️ SQLite for user profiles and history

🔗 Repo: (https://github.com/Ehakl/medical-analyzer)

• ⚛️ Advanced React patterns & frontend architecture
• ⚙️ API design & backend engineering best practices
• 🧠 Data Structures & Algorithms
• 🐙 Professional Git workflows (because git push --force isn't always the answer)
• 🤖 Production‑ready full‑stack deployment strategies

• Full‑Stack Development
• Frontend Engineering (React)
• Backend & API Design
• Software Engineering
• Applied AI / Machine Learning
• Computer Vision & OCR

💼 LinkedIn: [https://www.linkedin.com/in/aditya-bansode-ab18a833a/]
📧 Email: adityabansode2104@gmail.com
🐙 GitHub: ehakl
📄 Resume: [https://drive.google.com/file/d/16Na8fqBx61wIcrdp0s3ftUjDcvw3oC8e/view?usp=sharing]

⚡ “Build things that matter. Break things that don’t.” ⚡