Huzaifa Tahir

AI Engineer · Agentic AI · RAG · Multi-agent systems · Lahore, Pakistan · Open to full-time AI Engineer roles · relocating to DE · NL · UK · UAE

Summary

Huzaifa Tahir is an AI Engineer from Lahore, Pakistan, with 3+ years building production agentic AI: LangGraph and CrewAI multi-agent systems, MCP servers and RAG pipelines. He is Lead AI Engineer at SyntaxBrain and previously worked at Musketeers Tech, Fabtechsol and Mexa Solutions. His work includes a payroll automation system that cut monthly processing time by 90% for 800+ employees, a deep research sales agent built with CrewAI and FastAPI, and, at SyntaxBrain, a legal AI platform for a UK law firm with 15+ lawyers combining retrieval over 10M+ documents with Llama 3.1 fine-tuning, where he is lead engineer and project manager. He authored "Mastering Ensemble Techniques" and explains new AI research papers on YouTube. He is open to full-time AI Engineer roles with relocation to Germany, the Netherlands, the UK or the UAE.

Experience

Lead AI Engineer, SyntaxBrain

Now · Lahore

  • Leads a legal AI platform for a UK law firm with 15+ lawyers as lead engineer and project manager: retrieval over 10M+ documents plus fine-tuning of open-source Llama 3.1 models.
  • Owns architecture and delivery for agentic and RAG systems, from scoping with clients to production.

AI Engineer, Musketeers Tech

From Apr 2025 · Lahore

  • Built a payroll and salary-slip automation system that cut monthly processing time by 90% for 800+ employees.
  • Architected a Deep Research Sales Intelligence Agent with CrewAI and FastAPI that researches and qualifies B2B leads end to end; top-ranked among client deliverables.
  • Developed custom MCP servers integrated with OpenAI, reducing agent integration overhead across projects.

AI Engineer, Fabtechsol

Oct 2024 to Apr 2025 · Lahore

  • Led end-to-end integration of the B-Master multi-agent platform with CrewAI, LangChain and LangGraph.
  • Fine-tuned GPT-4 Vision for car make and year detection at 74% classification accuracy, feeding automated price estimation.
  • Built tax-strategy agents with the LangChain SQL Agent, OpenAI and Tavily Search to cut analyst research time.

Generative AI Engineer, Mexa Solutions

Sep 2023 to Oct 2024 · Lahore

  • Built an Interview Copilot with OpenAI, Deepgram real-time speech-to-text and Groq, with sub-second response latency.
  • Implemented RAG pipelines with LangChain and LlamaIndex for cybersecurity document analysis and research tools.
  • Shipped a finance chatbot on Streamlit and Snowflake for natural-language queries over the data warehouse.

Associate Python Developer, FalconXoft

Dec 2022 to Aug 2023 · Remote

  • Built booking logic and backend APIs for a flight reservation system on third-party flight APIs.
  • Developed a Django app for real-time face-emotion recognition with CNNs.
  • Wrote a Best Seller Rank scraper that informed e-commerce merchandising decisions.

Selected projects

Skills

Languages
Python, SQL, R
Agentic AI
LangGraph, CrewAI, LangChain, LlamaIndex, LangSmith, MCP servers, Multi-agent systems
LLMs
OpenAI GPT-4 / GPT-4o, Anthropic Claude, Llama 3 / 3.1, Qwen 2.5, DeepSeek, Groq, Deepgram
RAG and vector DBs
Hybrid search, Re-ranking, Pinecone, pgvector, ChromaDB, FAISS
ML / DL
PyTorch, TensorFlow, Hugging Face, scikit-learn, Fine-tuning, Computer vision, NLP
Backend and cloud
FastAPI, Django / DRF, PostgreSQL, Snowflake, Docker, AWS (EC2, S3)
Tools
Git, Playwright, Streamlit, ComfyUI, Jupyter

Education and certifications

  • BSc Computer Science, Superior University Lahore, 2019 to 2023
  • Machine Learning Specialization, Coursera, DeepLearning.AI, 2023
  • Natural Language Processing Specialization, Coursera, DeepLearning.AI, 2023

Publications

  • Mastering Ensemble Techniques: The Art and Science of Smarter Machine Learning (book)
  • LLM: Large Language Models, a comprehensive guide, AI in Plain English, 2024
  • Understanding Seq2Seq models, AI in Plain English, 2024
  • Unleashing the potential of language: introducing PaLM, AI in Plain English, 2024
  • Decoding the magic: NLP tokenization and text normalization, Medium, 2024

Languages

  • English: Professional working proficiency
  • Urdu: Native
  • German / Arabic: Not yet; open to learning
Hiring an AI engineer?

Let's build something real.

I reply within a day and I'm happy to do a technical interview or a take-home task.

huzaifatahir7524@gmail.com