Kanish Rajpali

I'm a Python Developer with a focus on building reliable, production-grade backend systems that harness the power of large language models. My core stack is Python and FastAPI, and I specialize in turning complex AI workflows — from document ingestion to intelligent summarization — into clean, scalable APIs.

My hands-on project work includes a containerized AI Document Analyzer API that handles PDF uploads, orchestrates LLM summarization with structured prompt workflows, token-limit management, and robust error handling. I've also built a full-featured blog backend featuring JWT authentication, Pydantic schemas, SQLAlchemy ORM, and Swagger/OpenAPI documentation — reflecting my commitment to clean architecture and maintainability.

Beyond personal projects, I've delivered enterprise-grade API integrations for real clients and developed 10+ ServiceNow ITSM automation workflows using GlideRecord, giving me exposure to both AI-native and enterprise software environments.

I'm actively deepening my expertise in Retrieval-Augmented Generation (RAG), vector embeddings, and Azure OpenAI / OpenAI APIs. I thrive in environments where I can contribute to production AI systems from day one and grow alongside teams that take reliability and clean interfaces seriously.

Based in India and open to fully remote opportunities globally.