Nikunj Kakadiya

Nikunj Kakadiya Full Stack Developer (React, Python, AI Development & Integration) | 10+ Years Experience GitHub: github.com/nikunjkakadiya3008 | Location: India Professional Summary Full stack developer with strong experience building data-driven web applications and integrating AI into production systems. Specialized in React (TypeScript) and backend development with Node.js and Python, with hands-on experience in real-time data processing, dashboard systems, and AI-powered features. Built platforms that combine structured data, user workflows, and AI models to generate actionable insights. Experience includes voice agents, AI chat systems, predictive dashboards, and real-time analytics. Comfortable working across product, data, and engineering teams to translate business problems into scalable technical solutions. Core Technical Skills React, Python (FastAPI, Django) Angular, TypeScript, JavaScript (ES6+), HTML5, CSS/SCSS, Redux, Zustand, Node.js, REST APIs, Firebase, Supabase, PostgreSQL, AI Integration (OpenAI, Gemini, Claude, Vapi), Realtime Systems, Data Visualization (Recharts), Git, CI/CD, Docker, Agile/Scrum Professional Experience Senior Full Stack Developer - Freelancer Visit Profile Feb 2018 – Present Upwork • Designed and developed scalable web applications using React (TypeScript) with modular and reusable component architecture. • Integrated AI models (OpenAI, Gemini, Claude) into production systems for chatbots, automated responses, and intelligent workflows. • Built AI-powered features including conversational interfaces, recommendation systems, and contextual response generation. • Implemented AI voice agents using Vapi to automate real-time user interactions and domain-specific query handling. • Implemented Retrieval-Augmented Generation (RAG) pipelines by combining LLMs with structured data sources to generate context-aware and accurate responses. • Worked with vector databases (Chroma, Pinecone) for semantic search, embeddings storage, and efficient information retrieval. • Designed systems for embedding generation, document indexing, and similarity-based search to enhance AIdriven user experiences. • Built AI workflows using tools like n8n for automation, orchestration, and integration between APIs, databases, and AI services. • Applied prompt engineering techniques to improve response quality, consistency, and domain relevance. • Built data-intensive dashboards with dynamic filtering, sorting, and aggregation for real-time analytics and decision-making. • Handled high-frequency data updates and optimized rendering performance using memoization, virtualization, and efficient state management. • Implemented advanced state management using Redux and Zustand to manage complex application flows and large datasets. • Integrated REST APIs and designed efficient client-server communication patterns for performance-critical applications. • Developed backend services using Node.js and Python to process structured and semi-structured data. • Worked with Firebase and Supabase to build real-time systems with live updates and event-driven architecture. • Optimized frontend performance using lazy loading, code splitting, and efficient API consumption strategies. • Refactored legacy codebases to improve maintainability, scalability, and adherence to clean architecture principles. • Collaborated with cross-functional teams (product, design, business stakeholders) to translate business requirements into scalable technical solutions. • Participated in architecture discussions, defining system design decisions and trade-offs for performance and scalability. • Ensured high-quality code through code reviews, best practices, and consistent development standards. • Delivered responsive and user-friendly interfaces focused on usability and clarity of complex data. • Deployed applications using modern CI/CD workflows and managed environments across staging and production. Full Stack Developer Jun 2016 – Feb 2018 Deskcode Solution Pvt. Ltd., India • Developed frontend applications using Angular and React with focus on responsive UI and reusable components. • Built backend APIs using Node.js and Express for handling business logic and data processing. • Integrated third-party services and REST APIs to extend application functionality. • Worked with relational databases and implemented efficient data access patterns. • Assisted in debugging production issues and improving application performance and stability. • Collaborated with senior developers to follow best practices in code structure and development workflows. • Participated in Agile development cycles including sprint planning, standups, and releases. Key Projects RotoBot AI – Fantasy Sports Intelligence Platform Visit Web App • Built real-time analytics dashboards delivering predictive insights and recommendations based on live sports data. • Designed data pipelines and frontend architecture to handle high-frequency updates and time-series datasets. • Implemented dynamic data visualization (charts, trends, comparative metrics) to help users make data-driven decisions. • Optimized performance for large datasets using efficient state management and rendering strategies. • Transformed raw statistical data into actionable intelligence through structured UI and data aggregation. SeaSure – Marine Insurance Platform with AI Voice Agent Visit Web App • Developed enterprise web platform for vessel and insurance management with complex workflows and structured data handling. • Integrated AI voice agent (Vapi) to handle real-time customer queries related to policies, vessels, and insurance data. • Built conversational workflows that combine backend data retrieval with AI-generated responses. • Designed scalable APIs and UI layers to support real-time interaction and decision-support features. • Improved user experience by automating support processes and reducing manual query handling. Bite Tracker – AI Nutrition & Analytics Platform Visit Web App • Built data-driven dashboards for calorie tracking, macro analysis, and user behavior insights. • Implemented AI chatbot using LLMs to provide personalized nutrition recommendations and contextual responses. • Designed systems to process user input data and generate actionable health insights. • Handled real-time updates and user-specific data flows using Firebase and scalable backend services. • Focused on transforming raw input data into meaningful recommendations and user-friendly analytics. MECH AI – AI-Based Vehicle Diagnostic & Repair Platform Visit Web App • Developed AI-assisted diagnostic platform for vehicle issue detection and repair recommendations. • Integrated AI models to analyze user inputs and generate context-aware diagnostic insights. • Built structured workflows to convert technical vehicle data into simplified, actionable outputs. • Designed frontend interfaces for handling complex diagnostic data and improving usability. • Collaborated on integrating AI logic into production-ready systems with focus on reliability and response accuracy. Education Masters in Computer Applications Gujarat Availability Remote | Immediate | Flexible with time zones 2013