Nikhil Dangi

Collaborated with cross-functional teams (UX, Backend Engineering, and third-party vendors) to define API contracts, integrations, and scalable solutions for mobile and web applications. Developed and maintained cross-platform applications using React Native, Expo, Next.js, AWS, and Firebase, ensuring optimized performance, modular architecture, and successful deployment to the Google Play Store. Built and integrated Agentic AI workflows using OpenAI GPT, Codex, and Claude Opus 4.6 / Sonnet 4.6, including AI Orchestrators, React Native Developer Agents, Commit Agents, QA Agents, Unit Test Agents, and Performance Optimization Agents to automate development workflows and improve engineering productivity. Leveraged AI-assisted development tools and autonomous coding agents to accelerate feature delivery, improve code quality, automate testing, code reviews, and streamline debugging and deployment processes. Led technical planning and team coordination, including effort estimation, sprint planning, task allocation, and mentoring team members to solve complex technical challenges. Integrated Keka HR APIs to build a reference dashboard that synchronizes employee data between Keka and internal systems, enabling centralized user data management and real-time workforce insights.

Designed and developed a full-stack React Native mobile application (LiveBox App) enabling users and sellers to upload product videos (e.g., sarees, clothing) and conduct live streaming commerce, leveraging AWS services for scalable media streaming and storage. Built and integrated REST and GraphQL APIs using Node.js and Express.js, enabling seamless communication between the mobile app, Magento-based e-commerce backend, and third-party services. Implemented secure authentication and user management using Firebase Authentication, supporting Google Sign-In, phone number OTP, and credential-based login, improving onboarding and user access management. Integrated payment gateway (Paytm) for secure digital transactions and implemented backend services using AWS Amplify and DynamoDB to support scalable data storage, real-time updates, and reliable transaction handling. Led end-to-end full-stack development and ownership of the LiveBox App, including frontend (React Native), backend (Node.js/Express), ONDC integration, API architecture, and deployment, ensuring scalable, high-performance mobile commerce functionality.

Developed and maintained cross-platform mobile and web applications for the agriculture domain using React Native and React.js, enabling farmers to purchase farming products, fertilizers, seeds, and equipment through digital platforms. Developed a farmer-centric e-commerce application enabling users to explore and purchase farming products, fertilizers, seeds, and agricultural equipment through responsive mobile and web platforms with scalable architecture and optimized user experience. Built and integrated frontend modules using React Native and React.js with backend APIs to support product discovery, authentication, order workflows, and real-time application functionality for seamless digital commerce. Implemented a Deep Learning-based plant leaf disease detection system using Convolutional Neural Networks (CNN), enabling automated crop disease identification and intelligent farming assistance for better agricultural decision-making. Collaborated with app, web, and management teams to design scalable features, optimize application performance, and deliver user-focused solutions while contributing to frontend development, API integration, testing, and deployment workflows. Worked on Machine Learning and Deep Learning solutions using Convolutional Neural Networks (CNN) for plant leaf disease detection, enabling intelligent crop health analysis and improving farming assistance capabilities.

Emerging Tech Star (Q4 2023–24)

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