Shuaib Sarwar
Hi, I'm Shuaib Sarwar, a passionate AI developer based in Muscat, Oman. I specialize in building advanced conversational AI systems, multiagent chatbots, and intelligent data retrieval tools.
About
Hi, I’m Shuaib Sarwar, a passionate AI developer based in Muscat, Oman. I specialize in building advanced conversational AI systems, multiagent chatbots, and intelligent data retrieval tools. With experience in integrating LLMs and serverless architectures, I’ve helped businesses streamline their operations and enhance user interactions.
I enjoy leveraging cutting-edge technologies like LangGraph, FastAPI, AWS Chalice, and OpenAI APIs to create innovative solutions. Outside of work, I’m continually learning and developing my skills in AI, NLP, and cloud services to stay at the forefront of the industry.
- 2 years' experience
- Joined August 2025
Languages
- EnglishFluent
- HindiFluent
Industry experience
- Software & Internet
- Professional Services
- Transportation & Logistics
- Energy & Utilities
Work experience
Engineered sophisticated multiagent chatbot systems with context-aware capabilities and query routing to enhance user interaction and information retrieval. Developed systems integrating context remembering, LLM routing, NLP-to-SQL agents, and interactive data visualizations. Created HR-policy chatbots using RAG and OpenAI APIs for accurate responses. Built conversational AI solutions for BMW Australia dealerships with serverless microservices and Redis-based contextual memory. Engineered OCR solutions for digitizing aircraft logbooks achieving high accuracy and reduced manual reviews, deploying scalable serverless execution on AWS Lambda.
Analyzed public sentiment on sustainability in the beverage industry using NLP to classify sentiments and identify key themes. Conducted LDA topic modeling on tweet datasets, cleaned data via filtering, extracted and visualized actionable insights for client projects.
Developed powerful CNN models for real-time emotion detection with 97% accuracy. Focused on creating user-friendly interfaces for machine learning applications, ensuring effectiveness and ease of use.
Education
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