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Fullstack Engineer with 4+ years in MERN, Node.js, and AI Integration
Full Stack Developer with 3+ years of experience building scalable web applications and cloud-native systems using the MERN stack. Strong expertise in microservices, containerization (Docker, Kubernetes), and deployments on AWS (ECS, EKS, EC2). Experienced in integrating AI/LLM workflows, developing chatbots, and automating processes using modern APIs. Worked on data-driven solutions for the Coca-Cola bottling industry (CIPL) and contributed to a Zomato-funded hardware-software project at RVTech. Focused on delivering clean, maintainable code and continuously upskilling in cloud architecture and AI technologies.
SGT University
Bachelor of Technology (B.Tech) · Computer Science Engineering, Full Stack Development & Artificial Intelligence
August 1, 2019 – June 30, 2023
Vivekanand Global School
Senior Secondary (+2) · Non-Medical Stream
N/A – Present
R.V Tech
MERN Stack Developer
January 1, 2023 – Present
India
CIPL
MERN Stack Developer and AI Engineer
July 1, 2021 – December 1, 2022
India
Sychedelic Headphones-(Smart Headphones)
January 1, 2023 – June 1, 2026
Architected backend microservices using Node.js, Express, and MongoDB, ensuring scalable and high-performance data processing. Implemented secure authentication & authorization using JWT, and developed fully-structured RESTful APIs for all application modules. Built responsive front-end interfaces using React.js and Next.js, following a modular and reusable component architecture. Containerized applications using Docker and deployed them on Kubernetes clusters for production-level scalability and reliability. Worked on an ESP-based hardware tool to enable communication between software and the smart headphone device via Bluetooth and Wired connections. Streamed live sensor data (bit stream) from the device and processed it in real time. Configured the ESP (C++) to measure real-time PPG signals and deliver controlled tDCS current for stress reduction. Implemented WebSockets to stream incoming sensor data continuously and push it to the backend in chunks for real-time stress-management analytics. Developed the mobile version of the web application using React Native, supporting both Android and iOS platforms. Ensured seamless synchronization between device data, backend APIs, and mobile UI. Integrated AI voice automation using OpenAI Realtime API, Deepgram (STT/TTS), and telephony platforms like Exotel and Voximplant to build intelligent call-handling systems. Built end-to-end AI chat workflows with LangChain and Mistral AI for automated conversations, lead qualification, and PDF-based answering. Implemented comprehensive unit tests using Jest, ensuring reliability for every critical functionality and microservice.
Coca-Cola Deep Analysis Full stack
July 1, 2021 – December 1, 2022
Developed production-ready REST APIs and microservices using Node.js and Express, ensuring high performance and scalability. Performed data analysis using Python and R to derive key business metrics and evaluate market trends. Applied machine learning algorithms such as clustering to identify high-sales regions, and classification models to predict demand patterns for Coca-Cola bottlers. Designed and managed scalable database schemas in both MongoDB and SQL, ensuring efficient data storage and retrieval. Executed large-scale data extraction workflows on Azure Databricks using optimized SQL queries. Built and deployed an internal AI chatbot using OpenAI and LangChain for contextual, automated responses. Improved UI/UX experiences using React.js, Tailwind CSS, and Framer Motion to deliver smooth and engaging interfaces. Managed project workflows using Agile methodology, including sprint planning, task tracking, and reporting through JIRA.
CIPL Food Ordering Application (Mobile App)
July 1, 2021 – December 1, 2022
Designed the backend architecture of the application to support scalable and efficient operations. Integrated secure user authentication and authorization to manage customer and admin access. Developed RESTful APIs using Node.js and Express.js for seamless communication between frontend and backend. Designed and managed the MongoDB database, leveraging Mongoose ORM for schema modeling and data operations. Built the frontend interface using ReactNative, focusing on modular components and clean UI flows. Implemented state management using Redux to ensure predictable and maintainable application state. Created a responsive and user-friendly UI/UX optimized for mobile users. Conducted comprehensive testing and debugging to deliver high-quality, stable features. Managed version control using Git, collaborating effectively with the team through GitHub.
Cultural Fit Analysis
The candidate's project diversity, ranging from smart headphones with hardware integration and real-time analytics to enterprise-level data analysis for Coca-Cola and a food ordering application, indicates adaptability and a broad interest in different problem domains. The explicit mention of 'continuously upskilling in cloud architecture and AI technologies' suggests a proactive and growth-oriented mindset, which aligns well with dynamic and innovative team cultures. The experience with AI/LLM workflows and cloud-native systems also shows a forward-thinking approach.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through experience in Agile methodologies (sprint planning, Jira), comprehensive testing, and collaborative version control. The project descriptions highlight problem-solving skills, particularly in integrating complex systems like hardware with software, real-time data streaming, and AI automation. The focus on scalable, high-performance solutions and clean, maintainable code indicates a professional and quality-oriented approach.