Aug 2022 – Jul 2025 · 2 yrs 11 mos · Gurugram · Hybrid

• AI-powered Personalized Meditation Assistant: Architected and developed a production-grade
• personalized meditation platform using Agentic RAG, LangGraph, FastAPI, LangSmith and OpenAI/LLM APIs to deliver context-aware, adaptive wellness guidance tailored to user behavior, emotional state, historical interactions, and meditation preferences.
• Designed a hybrid RAG pipeline combining BM25 + dense vector retrieval with semantic and retrieval optimization techniques to improve contextual grounding, reduce hallucinations, and enhance response relevance across conversational sessions.
• Implemented multi-agent orchestration using LangGraph with planner-executor patterns, reflection loops, memory-aware routing, and tool-using agents capable of dynamically selecting meditation flows, breathing exercises, and mindfulness recommendations.
• Built advanced memory architectures including episodic, semantic, and long-term memory systems using Redis and vector databases to personalized user context,emotional patterns, sessions, and adaptive meditation progression over time.
• Developed scalable backend services using Python, FastAPI, and microservices-based architectures, low-latency inference pipelines, modular AI orchestration, integration with external APIs, vector stores, and distributed processing systems.
• Designed and developed scalable microservices-based backend systems for User Management, Order Management, Course Management, Payment, and Notification Services using Node.js, Javascript, Relational Database, and Docker. Implemented secure authentication, profile management, subscription workflows, billing pipelines, and real-time communication services.
• Developed and optimized cross-platform mobile and web applications using React Native and React,
• delivering features including live classes, events, course catalogs, subscription plans, and profile management. Focused on performance optimization, scalable UI architectures across mobile and web platforms.

Sep 2020 – Sep 2022 · 2 yrs · Bengaluru · Remote

• Designed and developed scalable backend systems using JavaScript, Node.js, and microservices
• architecture for user management, delivery workflows, authentication, profile management, order
• processing, and real-time tracking. Integrated AWS Lambda, RESTful APIs, and MySQL to enable
• secure, high-performance, and cloud-native backend services with efficient data processing and service
• orchestration.
• Built and enhanced customer-facing mobile and web experiences using React Native and React,
• integrating RESTful APIs for payments, express delivery, cart management, chat support, notifications.
• Focused on responsive UI development, seamless API integration, real-time user interactions, and
• scalable application performance across platforms.

Aug 2019 – Sep 2020 · 1 yr 1 mo · Bengaluru · On-site

• Developed and maintained native Android applications using Java and Kotlin, following Android best
• practices including clean architecture, modular code structure, reusable components, lifecycle-aware
• development, and performance optimization to build scalable and maintainable mobile applications.
• Integrated RESTful APIs and implemented core features including secure payments with Razorpay,
• express delivery workflows, cart management, real-time chat support, push notifications, and pet
• boarding