Ali Haider

AI & LLM Developer | RAG | Agentic AI | Multi-Agent Systems | Backend Development

Talent

LahoreMember since August 10, 2026

Web DevelopmentRAGNLPMulti-Agent SystemsAgentic AIEmbeddingsSemantic SearchVector SearchLangChainLangGraphPydantic AIScikit-learnOpenAIOllaman8nPythonTypeScriptSQLFastAPIREST APIsMicroservicesPostgreSQLReactNext.jsElectron.jsDockerGitGitHub

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Web DevelopmentRAGNLPMulti-Agent SystemsAgentic AI

About

Computer Science graduate from FAST-NUCES (2026) with hands-on experience designing and developing LLM-powered applications, Retrieval-Augmented Generation (RAG) systems, AI agents, backend services, and intelligent automation workflows. Proficient in Python, FastAPI, databases, vector search, and modern LLM frameworks, with a strong focus on building scalable, reliable, and production-oriented AI solutions. Experienced in developing end-to-end full-stack AI applications, integrating LLMs with real-world data and APIs, and engineering automation pipelines that streamline complex workflows and deliver measurable impact.

Experience

AI Engineer Intern - Design Solutions & Co.

(2026-06 - 2026-07)

Worked with n8n to build and configure AI automation workflows using OpenAI and Anthropic APIs for automating business processes.
Created and configured custom n8n nodes and API integrations to connect workflows with third-party services.
Integrated vector databases with AI workflows to support semantic search and provide relevant context to LLM-based responses.
Tested and debugged end-to-end automation workflows, identifying and resolving issues related to LLM APIs, databases, and third-party integrations.
Assisted in optimizing workflow performance and improving the reliability of AI-powered automation pipelines.

Software Engineering Intern - Nexium

(2025-07 - 2025-08)

Worked on the backend development of an AI-powered document Q&A and search application for querying uploaded documents using natural language.
Implemented document processing and semantic search features to retrieve relevant information and provide context-aware AI responses.
Tested and debugged backend components, fixing functional issues and improving application reliability and performance through iterative development.
Participated in Agile development practices, including sprint planning, code reviews, Git/GitHub workflows, and collaboration with team members on feature development.