Anjali Jain
Software Engineer @Celebal Technologies
- Role
- Software Engineer at Celebal Technologies
- Location
- Jaipur, IN
- LinkedIn followers
- 500 followers
About Anjali Jain
I’m a passionate Full Stack Developer with hands-on experience in ReactJS, Node.js, and…
Experience
Software Engineer
Jun 2023 — Present · Jaipur, IN
Developed a scalable AI chatbot web app using Microsoft Bot Framework Direct Line API, reducing response latency by 40%- Built a responsive UI with React.js, Tailwind CSS, Redux; added onboarding via React Tour Guide and analytics with React Charts, improving onboarding completion by 30%- Designed a secure backend with Node.js, Express.js, RBAC, and optimized MS SQL schema, cutting DB latency by 50%- Implemented Kafka-based real-time OpenAI response streaming, improving chat responsiveness by 300ms/message- Used Azure Application Insights for monitoring and real-time alerting, reducing MTTR by 60%- Integrated Azure Blob Storage with encryption and lifecycle policies, enhancing storage efficiency by 25%- Developed a Microsoft Teams Tab App for onboarding with task scheduling, adaptive cards, and Fluent UI, increasing task completion by 40%- Built a customer support chatbot for an automobile company with Bot Framework + TypeScript, improving first-response resolution rate by 35%- Used Azure CLU for handling complex vehicle queries with over 90% NLP intent accuracy- Designed a graph-based dialog engine using Graphology for dynamic conversation flows based on vehicle configurations- Created a multi-channel adapter with the Factory Design Pattern for scalable, zero-code bot deployment across platforms- Used PostgreSQL for persistent chat storage and ensured 85% unit test coverage with Mocha and Chai- Built an AI chatbot in Salesforce using Node.js and Langchain for natural language CRUD with contextual memory- Integrated Langchain memory for session persistence, reducing repeated user queries by 20%- Followed modular microservices architecture and clean code principles for scalability, testability, and maintenance- Optimized frontend performance using lazy loading, code splitting, and efficient state management, reducing load time by 25%- Improved developer velocity with documented REST APIs and OpenAPI schema support.
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