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ibrahim anwar

@muhammadibrahim27

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Software Engineer building LLM-powered, RAG-driven AI agent platforms.

Pakistan

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What I'm looking for

I’m looking to build production AI systems—RAG, function calling, and agent workflows—where I can own full-stack features (React/FastAPI) and work closely with AI teams to deliver fast, reliable enterprise results.

I’m a Software Engineer at IBEX Lahore, embedded with an enterprise client to enhance their AI customer service agent on Sierra’s platform. I work across code and no-code tooling, using Agent SDK and Agent Studio to ship improvements that teams can adopt quickly.

I build and maintain full-stack features for IBEX’s AI Agent Builder Platform (AMP) with React.js and FastAPI. I’ve designed Redis-based session management, conversation history tracking, and function-calling integrations to enable context-aware, low-latency LLM interactions.

I collaborate with AI teams on RAG-based architectures that connect domain-specific enterprise knowledge bases to agent pipelines. On the side, I’ve developed products like MeetBot, an AI meeting assistant using Next.js, TypeScript, FastAPI, RAG, and OpenRouter to turn transcripts into searchable knowledge with automated action-item exports.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer

Current

IBEX Lahore

Nov 2024 - Present (1 year 7 months)

Enhanced an enterprise AI customer service agent on Sierra’s platform by building and maintaining full-stack features for IBEX’s AI Agent Builder Platform (AMP). Implemented Redis-based session and conversation history tracking, RAG integrations, and function-calling support to enable context-aware, low-latency LLM interactions, and supported call center workflows with internal Node.js apps.

fastAPI Redis WebSockets RAG Prompt Engineering Function Calling AI Integration Docker

Education

Degrees, certifications, and relevant coursework

National University of Sciences and Technology (NUST)

Bachelor of Science, Computer Science

2020 - 2024

Grade: 3.42 / 4.0 (CGPA)

Activities and societies: Final year project: Suspicious Behavior Detection using CCTV; awarded 3rd position at the Department Industrial Open House.

Bachelor of Science in Computer Science at NUST, graduating in 2024. Completed a final year project on suspicious behavior detection using CCTV and achieved 3rd position at the Department Industrial Open House for real-time computer vision modeling.