Mohammed Muneef

• Design and deploy Generative AI, Machine Learning, and LLM-powered solutions for enterprise clients across hospitality, customer experience, and business automation domains.

• Develop scalable backend services and REST APIs using Python and FastAPI to support AI-driven applications and integrations.

• Build Retrieval-Augmented Generation (RAG) systems using vector databases, embeddings, semantic search, and knowledge retrieval techniques.

• Develop AI agents for voice and chat automation, integrating LLMs, NLP, telephony platforms, and enterprise systems.

• Create intelligent document processing solutions using OCR and NLP for automated extraction and transformation of business documents.

• Collaborate with DevOps teams to deploy applications, configure API Management (APIM), troubleshoot production issues, and improve platform scalability.

• Build data ingestion, synchronization, and automation pipelines using MongoDB, PostgreSQL, Redis, RabbitMQ, and background processing frameworks.

• Optimize AI applications through prompt engineering, caching, asynchronous processing, and performance tuning to improve response times and user experience.

• Deliver AI-powered solutions for hospitality and property management clients, enabling automated customer support, booking assistance, and information retrieval.

• Contributed to a Koala-CX client deployment where AI-driven customer engagement and automation solutions supported approximately INR 60 lakh in revenue generation.

• Work closely with product managers, QA teams, DevOps engineers, and business stakeholders to deliver production-grade AI solutions.

Technologies: Python, FastAPI, Generative AI, Large Language Models (LLMs), RAG, AI Agents, NLP, LangChain, MongoDB, PostgreSQL, Redis, RabbitMQ, Docker, REST APIs, Vector Databases, Azure API Management (APIM), Git.