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Backend & AI engineer specializing in conversational AI, LLM/RAG systems, and scalable microservices. I build secure, high-availability Node.js and Python solutions, optimize intent detection and response quality, and deploy production-grade systems on Kubernetes. I’ve led and architected AI-driven banking and WhatsApp automation platforms, improving query deflection, latency, and automation accuracy at scale. I also focus on observability (Langfuse), stateful agentic workflows (LangGraph), and reliable CI/CD delivery for continuous releases.…Backend & AI engineer specializing in conversational AI, LLM/RAG systems, and scalable microservices. I build secure, high-availability Node.js and Python solutions, optimize intent detection and response quality, and deploy production-grade systems on Kubernetes. I’ve led and architected AI-driven banking and WhatsApp automation platforms, improving query deflection, latency, and automation accuracy at scale. I also focus on observability (Langfuse), stateful agentic workflows (LangGraph), and reliable CI/CD delivery for continuous releases.

SAURAV YADAV

Back-End Developer, AI Engineer, Software Engineer, +2

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Backend & AI engineer specializing in conversational AI, LLM/RAG systems, and scalable microservices. I build secure, high-availability Node.js and Python solutions, optimize intent detection and response quality, and deploy production-grade systems on Kubernetes. I’ve led and architected AI-driven banking and WhatsApp automation platforms, improving query deflection, latency, and automation accuracy at scale. I also focus on observability (Langfuse), stateful agentic workflows (LangGraph), and reliable CI/CD delivery for continuous releases.…Backend & AI engineer specializing in conversational AI, LLM/RAG systems, and scalable microservices. I build secure, high-availability Node.js and Python solutions, optimize intent detection and response quality, and deploy production-grade systems on Kubernetes. I’ve led and architected AI-driven banking and WhatsApp automation platforms, improving query deflection, latency, and automation accuracy at scale. I also focus on observability (Langfuse), stateful agentic workflows (LangGraph), and reliable CI/CD delivery for continuous releases.

Available to hire

Backend & AI engineer specializing in conversational AI, LLM/RAG systems, and scalable microservices. I build secure, high-availability Node.js and Python solutions, optimize intent detection and response quality, and deploy production-grade systems on Kubernetes.

I’ve led and architected AI-driven banking and WhatsApp automation platforms, improving query deflection, latency, and automation accuracy at scale. I also focus on observability (Langfuse), stateful agentic workflows (LangGraph), and reliable CI/CD delivery for continuous releases.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Software Development Engineer I → Acting Tech Lead at Interface.ai

July 1, 2023 - July 1, 2025

Architected AI-driven conversational banking systems using Node.js and LLM workflows (RAG/LangChain/LangGraph). Built secure core banking workflows including balance checks, fund transfers, card management, and KYC with banking-grade encryption and compliance. Improved NLP intent detection and response accuracy using OpenAI APIs and prompt engineering. Implemented RAG pipelines with observability via Langfuse, enabling stateful, agentic multi-step task automation. Optimized high-availability backend services at large request volumes, reducing API latency and ensuring fault-tolerant distributed operations.

Software Development Engineer at GoKwik

January 1, 2023 - July 1, 2025

Designed and deployed WhatsApp automation bots serving 5,000+ users by automating support through intent-based flows. Improved ticket creation and resolution pipeline to reduce response time and increase customer-support efficiency. Built end-to-end WhatsApp experiences including product discovery, ordering, and payments via catalog integrations for 400+ merchants. Developed a real-time analytics platform covering user behavior and bot performance across merchants. Led migration from AWS Elastic Beanstalk to Kubernetes, containerized services with Docker, and implemented CI/CD using Jenkins and ArgoCD to speed deployments and improve reliability. Launched a self-service merchant configuration platform used by 400+ merchants.