Potti Rahul

About Potti Rahul

AI Engineer with hands-on experience in building production-grade LLM applications, agent-based systems, and scalable backend services.At Covasant Technologies, I have worked on designing and developing AI-driven systems leveraging FastAPI, LangChain, LangGraph, and Google ADK. My work primarily focuses on building Retrieval-Augmented Generation (RAG) pipelines, multi-agent workflows, and microservices that enable intelligent automation and real-time decision-making.I have contributed to end-to-end AI platforms, including:AI-powered document processing and analysis systemsAgent deployment frameworks on Vertex AI Agent EngineScalable RAG microservices for semantic search and contextual queryingI specialize in:Designing agent-based architectures using LangGraphBuilding RAG pipelines with embeddings, vector search, and re-rankingDeveloping scalable backend APIs with FastAPIIntegrating LLMs into real-world applicationsI am passionate about building intelligent systems that bridge the gap between AI capabilities and practical business use cases.Open to opportunities in AI Engineering, Backend Engineering (Python), and Applied GenAI roles.

Experience

1. Associate Engineer

   Covasant

   Oct 2025 — Present · Hyderabad, IN

   Associate Engineer | Apr 2025 – Present* Developed AI-driven backend systems using FastAPI, LangChain, and LangGraph for enterprise applications* Designed and implemented microservices for RAG pipelines, agent orchestration, and LLM workflows* Built scalable systems integrating PostgreSQL, vector databases, and cloud-based AI services* Contributed to production-grade platforms involving document processing, semantic retrieval, and intelligent automation* Worked on modular, extensible architectures aligned with modern agent-based system design

Education

• RGUKT Basar

  Bachelor of Technology - BTech, Electrical, Electronic and Communications Engineering Technology/Technician

• RGUKT Basar

  Pre University course

• TSMS

  SSC, General