Vaishali Shivakumar

A highly versatile and results-driven Full-Stack and AI Agentic Developer with proven expertise across AI-powered systems, blockchain DApps, cloud-native applications, and modern frontend/backend stacks. Adept at designing, developing, and deploying robust applications using React, Next.js, Angular, and Bootstrap for the frontend, and Node.js, Express, Python, Java Spring Boot, and Django for backend microservices.

Skilled in advanced AI integrations including RAG (Retrieval-Augmented Generation) and LLM agent frameworks, with hands-on experience building custom AI agents, signal-based automation, and quantum-consciousness-inspired tools (e.g., Tarot Advisor Agent, Soul Engine). Demonstrates strength in LangChain, Crawl4AI, LLM orchestration, vector database interaction, and OpenAI/Hugging Face APIs.

Specialized in blockchain development with Solidity and Rust, building full-stack DApps like voting systems, ERC20 token sale platforms, smart wallets, decentralized donation platforms, and NFT/token-based interactions across Ethereum and Solana. Experience includes Truffle, Hardhat, MetaMask integration, and Web3.js/Ethers.js.

Fluent in deploying microservices and APIs on Google Cloud Platform (GCP) and AWS, with production-level containerization using Docker and orchestration with Kubernetes. Competent in real-time systems with Socket.IO, Telegram bots, and cloud functions.

Proficient in MongoDB, PostgreSQL, and SQL, with a strong focus on system performance, secure architecture, and intelligent automation. Passionate about intuitive user experience, maintainable code, and ethical AI.

Holds a Master’s degree in Computer Vision, Robotics, and Machine Learning from the University of Surrey, and a Bachelor’s in Electronics & Instrumentation from GSSSIETW Mysore.

• MASTER IN ARTIFICIAL INTELLIGENCE ENGINEERING USING PYTHON - Certified by Simplilearn Online Edu Tech Pvt Ltd
• MASTER IN FULL STACK WEB DEVELOPMENT (MEAN STACK) - Certified by Simplilearn Online Edu Tech Pvt Ltd

South East Water, UK · September 2023 – Present

• Developed and maintained CRM systems for major UK water companies including South East Water, Thames Water, Severn Trent, Southern Water, ICOSA, ESP, and Matrix.
• Built responsive UI/UX with Angular and implemented business logic with Java Spring Boot.
• Integrated third-party APIs for real-time call center transcription and CRM operations.
• Migrated legacy AngularJS modules to modern standalone Angular components.
• Deployed full-stack solutions on Tomcat servers and automated builds using CI/CD pipelines, batch scripts, and version control tools.
• Leveraged Google Cloud Platform (GCP) for scalable cloud integration and deployment.

Project: Food Recipes App

Key Skills: NexJS, SQLite 3, NodeJS

Description: The Food Recipes App is a simple web application built with Next.js, SQLite 3, and Node.js, highlighting Next.js app-based routing, caching, and data fetching. It efficiently integrates an SQLite 3 database for storing and retrieving recipes, utilizing Next.js API routes for smooth backend interactions. The app enhances performance with caching mechanisms, ensuring faster response times and a seamless user experience. This project demonstrates a scalable and efficient Next.js application with a lightweight database setup.

Github Link – https://github.com/Vaishu1293/foodies-nextjs

Project: News Listing App

Key Skills: NexJS, SQLite 3, NodeJS

Description: The News Listing App is a web application built with Next.js, SQLite 3, and Node.js, focusing on efficient data fetching and mutation. It leverages Next.js API routes to interact with an SQLite 3 database, enabling seamless retrieval, addition, and modification of news articles. The app demonstrates both server-side and client-side data fetching, optimizing performance and responsiveness. By implementing data mutation techniques, it ensures dynamic content updates, making it a solid example of handling CRUD operations in a Next.js application.

Github Link - https://github.com/Vaishu1293/nextjs-news-app

Project: Messaging App

Key Skills: NexJS, SQLite 3, NodeJS

Description: The Messaging App is a web application built with Next.js, SQLite 3, and Node.js, focusing on caching strategies and Next.js optimizations for improved performance. It efficiently handles real-time data fetching and message storage using an SQLite 3 database, leveraging Next.js API routes for smooth backend interactions. The app optimizes rendering and data retrieval through server-side and client-side caching, reducing load times and enhancing responsiveness. This project serves as a practical example of performance tuning and efficient state management in a Next.js application.

Github Link - https://github.com/Vaishu1293/nextjs-messaging-app

Project: Simple Blog App

Key Skills: NexJS, SQLite 3, NodeJS

Github Link - https://github.com/Vaishu1293/nextjs-blog-app

Project: Fitness App

Key Skills: NexJS, SQLite 3, NodeJS

Description: The Fitness App is a web application built with Next.js, SQLite 3, and Node.js, focusing on user authentication and session management. It enables users to securely register, log in, and maintain active sessions while tracking their fitness progress. The app utilizes Next.js API routes for handling authentication and interacts with an SQLite 3 database to store user credentials and fitness data. By implementing session management, it ensures a seamless and personalized user experience. This project demonstrates best practices for secure authentication, protected routes, and session handling in a Next.js application.

Github Link - https://github.com/Vaishu1293/nextjs-fitness-app

Project: Events app

Key Skills: NexJS, SQLite 3, NodeJS

Description: The Events App is a web application built with Next.js, SQLite 3, and Node.js, focusing on file-based and page-based routing for efficient navigation. It leverages Next.js dynamic routing to structure event pages, ensuring seamless navigation between event listings and details. The app utilizes Next.js API routesfor fetching event data from an SQLite 3 database, providing a structured and scalable architecture. This project serves as a practical example of Next.js routing patterns, efficient data handling, and a well-organized application structure.

Github Link - https://github.com/Vaishu1293/nextjs-events-app

Project: CNN For Image Scene Classification with PlacesSim2 Dataset

Key Skills: Python, PyTorch, Deep Learning (ResNet, AlexNet, VGG16), Git Executed image scene classification using various models like RESNET34, RESNET-50, ALEXNET, VGG16 in Python and PyTorch.

Github Link - https://github.com/Vaishu1293/AML_CNN_Scene_Classification

Project: Computer-Vision based Motion Analysis for high-Performance Rugby Coaching

Key Skills: Python, Computer Vision (OpenCV), Pytorch, Git Implemented a motion analysis system using Python, OpenCV, Pytorch to enhance rugby coaching.

Project: Vehicle-Reidentification Experimentation with existing Resnet, MobileNetV3, VGG16 models

Key Skills: Python, PyTorch, Deep Learning (ResNet, MobileNet, VGG16, AlexNet), Git Experimented with various deep learning models for vehicle re-identification task, contributing an implementation with Alexnet and a custom model on VeRi dataset.

Github Link - https://github.com/Vaishu1293/VeRi_Course_Work

Project: Neural-Network Simulation with MATLAB

Key Skills: MATLAB, Deep Learning, Pattern Recognition Simulated neural networks using MATLAB, with a focus on deep learning, ensemble learning and pattern recognition.

Github Link - https://github.com/Vaishu1293/Neural-Network-Training-MATLAB

Project: Food Vending Application

Key Skills: Angular, Node.js, Express.js, MongoDB, TypeScript, JavaScript Developed a food vending application using Angular, NodeJS, ExpressJS, MongoDB,

creating an efficient system for users to purchase items. Demonstrated ability to build reusable components, work with local storage and caching, and testing for frontend development.

Tech Stack: Node.js, OpenAI GPT-4 API, LLMs, LangChain

• Developed a custom AI-powered tarot reading agent using GPT for natural language interpretation of tarot spreads.
• Integrated spiritual logic and symbolic mapping to generate personalized insights and responses.
  🔗 GitHub: github.com/Vaishu1293/tarot-advisor-agent

Tech Stack: Node.js, GPT-4, LangChain, Chakra/Next.js

• Built a quantum-consciousness-inspired AI platform integrating tarot, astrology, and LLMs.
• Designed AI agents capable of contextual dialogue, timeline navigation, and energy-based guidance.
  🔗 GitHub: github.com/Vaishu1293/soul-engine

Tech Stack: Crawl4AI, DeepSeek, LLM Schema Extraction, Managed Browsers

• Built an intelligent AI-powered web scraping agent using Crawl4AI for structured data extraction from Clutch.co.
• Implemented schema-based LLM parsing, session handling, and bot-detection bypass techniques.
  🔗 GitHub: github.com/Vaishu1293/crawl4ai-clutch-io

Tech Stack: Python, OpenAI, Trading Signals, Automation

• Created a DeFi signal automation pipeline using LLMs to analyze and act on on-chain and off-chain indicators.
• Demonstrates agentic workflows that merge AI reasoning with decentralized finance execution logic.
  🔗 GitHub: github.com/Vaishu1293/ai-defi-pipeline