Shoaib Rasool

Generative AI Engineer with experience building production-grade LLM applications, AI agents, Retrieval-Augmented Generation (RAG) systems, and intelligent automation platforms. Experienced in LangGraph, LangChain, FastAPI, Qdrant, Gemini, GPT, and Claude. Built scalable AI systems for enterprise cybersecurity and no-code chatbot platforms, focusing on prompt engineering, orchestration, semantic search, performance optimization, and real-world business integrations.

Passionate about designing reliable AI products that solve complex enterprise problems.

Artificial Intelligence Engineer at Anemoia (2026-01 – Present)

Led AI development for Sentrio, a production SaaS security risk management platform serving enterprise cybersecurity workflows.

• Designed LangGraph-based multi-agent orchestration pipelines for complex reasoning and decision workflows.
• Built Retrieval-Augmented Generation (RAG) architecture using Qdrant and semantic retrieval.
• Developed FAIR Monte Carlo risk simulation pipelines for enterprise risk assessment.
• Built high-throughput LLM classification systems processing thousands of security alerts daily.
• Optimized LLM latency using semantic caching and intelligent retrieval strategies.
• Integrated Gemini models for classification, reasoning, summarization, and decision support.
• Improved scalability, monitoring, observability, and production reliability of AI services.
• Collaborated with backend engineers and product teams to deploy production AI features.

Junior NLP Engineer at Cofttech.ai (2025-06 – 2025-12)

Built production-ready no-code AI chatbot platform powered by LLMs.

• Designed complete RAG pipeline including ingestion, chunking, embeddings, indexing, retrieval, and response generation.
• Built scalable AI agents integrated with Slack, websites, and enterprise knowledge bases.
• Engineered prompt pipelines that improved response quality and reduced hallucinations.
• Developed FastAPI backend services for AI orchestration and chatbot management.
• Integrated vector databases for semantic retrieval and contextual search.
• Optimized AI performance, latency, and inference costs.

Full Stack Developer at Booma Enterprises (2024-03 – 2025-05)

• Developed web and mobile applications using React, React Native, and Node.js
• Designed scalable frontend architecture and integrated backend APIs for real-world products

React Developer at Enigma Software Solutions (2022-10 – 2024-02)

Collaborated with a cross-functional development team to build and deliver scalable SaaS solutions for businesses using modern frontend technologies.

• Contributed to the development of an in-house Attendance Management System, focusing on creating responsive and user-friendly interfaces.
• Worked closely with teammates on client projects, participating in feature development, debugging, code reviews, and UI implementation while following industry best practices.
• Gained hands-on experience in React, Next JS, Vue JS, Redux, component-based architecture, state management, API integration, and agile team collaboration in a fast-paced development environment.

Bachelor's Degree in Artificial Intelligence – Air University (2022-09 – 2026-06)