ABOUT ME

Get to know me better.

I'm Bilal Afzal, an AI Engineer and Software Engineer focused on building intelligent, production-ready systems — from LLM-powered applications to autonomous, multi-agent workflows that reason, plan, and act.

AI Engineer & Agentic AI Developer

With 2+ years of experience across AI/ML, Data Science, and Software Engineering, I design systems that go beyond a single model call — orchestrating retrieval, reasoning, and tool use into agents that complete real, multi-step work.

My focus spans Generative AI and LLM applications, Agentic AI and multi-agent systems, RAG and GraphRAG pipelines built on knowledge graphs, AI voice agents, and the backend engineering that makes all of it reliable in production.

On the backend, I build with Python and FastAPI, using tools like Pydantic and Instructor for structured, verifiable outputs, Kafka for event-driven pipelines, and MongoDB for application data — the same discipline I apply to traditional software engineering, applied to AI systems.

2+ Years Experience

In AI/ML, Data Science, and Software Engineering

Real-World Impact

Building AI systems that solve real business problems

Continuous Learner

Always exploring new technologies and AI research

Problem Solver

Turning complex challenges into intelligent solutions

From data analysis to production AI systems.

My work has grown from analyzing data to designing agentic AI systems that operate autonomously in production — combining LLM reasoning, retrieval, and structured tool use.

Areas of Focus

AI EngineeringSoftware EngineeringGenerative AILLM ApplicationsAgentic AIMulti-Agent SystemsAI AgentsAI AutomationBackend EngineeringRAGGraphRAGKnowledge GraphsAI Voice Agents

Technologies

PythonFastAPIOpenAI APILangGraphCrewAILlamaIndexNeo4jKafkaPydanticInstructorMongoDBWhisperDeepSeekPocket TTS

Education & where I want to create impact.

Education

Bachelor of Science in Computer Science (BSCS)

Institution and graduation year to be added.

Where I Want to Create Impact

I'm focused on building agentic AI and automation systems that take real work off people's plates — from multi-agent research and content pipelines to investigation and knowledge-graph systems that reason over complex, connected data.

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