I'm a Computer Science undergraduate at Air University Islamabad, specializing in AI & Machine Learning, currently working as an AI Engineer Intern at Decode Labs and Agentic AI & Prompt Engineering Intern at Neurofive Solutions.
I build end-to-end AI applications — RAG pipelines, agentic workflows, and LLM-powered tools — using Python, LangChain, LangGraph, FastAPI, and both REST APIs and locally-hosted models. Every project I've built is something I can run, explain, and defend in detail.
- 🎓 BSCS @ Air University Islamabad (AI/ML Specialization) — Expected 2028
- 💼 AI Engineer Intern @ Decode Labs
- 💼 Agentic AI & Prompt Engineering Intern @ Neurofive Solutions
- 🔭 Currently building: Advanced Agentic AI systems with HITL + LangGraph
- 💡 Interested in: RAG architectures, agent orchestration, LLM observability, HITL workflows
- 📍 Based in Islamabad, Pakistan
- 📫 Reach me: linkedin.com/in/abdullah-tahir-084307370
AI / ML & LLMs
Data & ML Libraries
Vector Databases & Search
Web & APIs
Tools & Platforms
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Agentic chatbot that intelligently decides when to answer using the LLM and when to retrieve from uploaded PDFs via RAG. Features tool calling, persistent conversation memory via LangGraph Checkpointer, and full LangSmith tracing for observability.
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RAG pipeline that answers natural-language queries over 100+ page PDFs using semantic retrieval. Built with LangChain, FAISS vector store, 500-token chunking, and Streamlit UI. Retrieval latency under 2 seconds.
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Full-stack AI data analysis platform — Streamlit frontend + FastAPI backend — that ingests CSV datasets of 10,000+ rows, generates EDA reports, correlation heatmaps, and LLM-generated business insights with a multi-turn Q&A chatbot.
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End-to-end ATS system that parses resumes against job descriptions, generates a match score, highlights missing skills, and suggests AI-powered rewrites using structured prompt engineering and JSON response parsing.
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class AbdullahTahir:
def __init__(self):
self.role = "AI Engineer Intern"
self.companies = ["Decode Labs", "Neurofive Solutions"]
self.university = "Air University Islamabad (BSCS, AI/ML — 2028)"
self.currently = ["Advanced LangGraph agents with HITL", "LLM fine-tuning", "Advanced RAG systems"]
self.tech_stack = ["LangChain", "LangGraph", "LangSmith", "RAG", "FAISS", "FastAPI", "OpenRouter"]
self.interests = ["Agentic AI", "LLM Observability", "RAG architecture", "Prompt engineering"]
def say_hi(self):
print("Thanks for visiting! Feel free to explore my projects or reach out.")
me = AbdullahTahir()
me.say_hi()
Currently interning as an AI Engineer. Always open to interesting AI engineering conversations.