Dawood Ahmad
I’m Dawood Ahmad, a Backend Developer and AI Engineer with 6+ years of experience building scalable Python-based systems.
About
I’m Dawood Ahmad, a Backend Developer and AI Engineer with 6+ years of experience building scalable Python-based systems. I specialize in Django and FastAPI, designing clean REST APIs, and developing production-ready backend architecture that supports real business workflows.
I also build intelligent applications using LLMs and Retrieval-Augmented Generation (RAG), working with vector databases and chatbot-style pipelines for tasks like Q&A and document summarization. Across my roles, I focus on performance optimization, reliable integrations with third-party services, and continuous improvement through code reviews, modular design, and solid testing.
- 4 years' experience
- Joined October 2026
Skills· 21
Languages
- EnglishIntermediate
- HindiIntermediate
Industry experience
- Education
- Software & Internet
- Computers & Electronics
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Work experience· 5 roles
Developed full-stack applications using FastAPI and NextJS. Worked with the team on multiple projects, created internal apps to improve efficiency and workflows, and implemented new features based on requirements. Performed code reviews, resolved bugs and technical issues, and contributed to maintaining code quality and delivery timelines.
Designed and developed scalable backend systems and full-stack applications using Python, Django, and FastAPI. Built and integrated RESTful APIs, third-party services, and database-driven workflows. Implemented AI-powered features including LLM integrations, Retrieval-Augmented Generation (RAG) pipelines, and vector database-based retrieval. Improved performance through efficient backend architecture, database optimization, and caching. Collaborated with cross-functional teams, handled troubleshooting, performed code reviews, and followed clean, modular development practices.
Built scalable backend systems using Django and REST APIs. Integrated OpenAI LLMs for document summarization and intelligent Q&A features. Designed RAG-based pipelines using vector databases for efficient retrieval. Implemented caching strategies to improve system performance and worked with cross-functional teams to ensure smooth integration of new features.
Education
Certifications and awards· 6
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