Hi, I'm Rajvi Panchal.

Frontend Engineer
and Aspiring AI Engineer.

Master's student in Artificial Intelligence at the University of East Anglia, passionate about building AI-powered web applications. Currently seeking an opportunity as an AI Engineer, Machine Learning Engineer and Frontend Developer to apply my skills, contribute to innovative projects.

TECHNICAL SKILLS

Machine learning and computer vision

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Through my MSc in Artificial Intelligence, I work with Python, machine learning, computer vision, data mining, MATLAB pipelines, and model evaluation.

React and Next.js development

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I build production-ready frontends with React.js and Next.js, including server-side rendering, optimized components, and responsive interfaces for ecommerce and web platforms.

State management and user flows

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I use Redux and Redux Toolkit to manage complex multi-page flows, keep data consistent, and reduce UI bugs across interactive applications.

Checkout and payment integration

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I have developed complete ecommerce checkout systems and integrated Stripe.js for secure payment processing and reliable transaction experiences.

API integration and testing

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I connect frontend applications with backend services through RESTful APIs and use Postman to test, validate, and stabilize frontend-to-backend communication.

Databases and realtime data

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I have worked with MongoDB and Firebase, including Firestore and Auth, to support scalable storage, realtime synchronization, and reliable application data.

PROJECTS

Intelligent Railway Chatbot

Python, National Rail API, machine learning, expert systems

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Built a conversational railway assistant that collects journey details, searches for the cheapest available train tickets, provides booking links, predicts delays, and recommends contingency actions for railway staff.

Image Categorisation

MATLAB, ResNet18, HOG, SURF, Random Forest, SVM, CNN

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Created an image classification pipeline for a 15-class scene dataset using Tiny Images, HOG, SURF Bag of Visual Words, ResNet18 transfer learning, LBP, Random Forest, KNN, SVM, CNN fine-tuning, and confusion matrix analysis.

EXPERIENCE

April 2023 - August 2025