Iβm a Software Engineer passionate about building impactful, scalable, and intelligent solutions that bridge web development and artificial intelligence.
Currently contributing to the IndiGo AI Chatbot, leveraging Python, FastAPI, Azure, Redis, and RAG to enhance real-time conversational experiences and backend performance.
π‘ I enjoy blending software engineering discipline with AI innovation β from crafting RESTful services to deploying LLM-integrated chatbots in production.
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π Education:
B.Tech in Computer Science and Engineering β Specialization in Artificial Intelligence & Machine Learning -
π Portfolio:
π Visit My Portfolio -
π§ Current Focus:
Enhancing AI-driven backend systems, mastering prompt engineering, Langchain, Langraph, MCP Server, Multi Agent Systems and Agentic AI Chatbots, and building efficient cloud-native architectures using Azure and FastAPI.
RAG β’ LangChain β’ Prompt Engineering β’ NLP β’ Data Processing β’ Model Deployment
π Developing and maintaining IndiGoβs intelligent chatbot using
Python, FastAPI, Prompt Engineering, and RAG architecture.
Integrated multiple third-party APIs and optimized response latency using Redis.
Deployed and managed services on Microsoft Azure, ensuring scalability, reliability, and 24Γ7 uptime.
- π Enhancing the IndiGo AI Chatbot backend with scalable and robust architecture
- π§ Exploring RAG, LangChain, and LLMOps for context-aware chat automation
- βοΈ Strengthening skills in Azure, Docker, and microservice deployments
- π» Building full-stack projects and contributing to open-source
β¨ "Code. Learn. Build. Repeat."
π Always exploring how AI and software engineering can create real-world impact.
