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Atiq Ur RehmanAR
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Atiq Ur Rehman

@atiqurrehman1

AI/ML Engineer building Generative AI and scalable backend systems with production-ready APIs.

Pakistan
Message

What I'm looking for

I want to build scalable Generative AI + backend systems—LLM/RAG pipelines, vector search, and secure, high-performance APIs—so teams can ship reliable intelligent features with strong testing, monitoring, and clean architecture.

I’m a results-driven AI/ML and Backend Engineer specializing in Generative AI, machine learning, and distributed backend architectures. I build end-to-end AI solutions by integrating large language models with reliable APIs, microservices, and production-ready pipelines.

At Samaritan Technologies, I develop and maintain AI/ML-driven backend services using Python and FastAPI, working with LLMs and Retrieval-Augmented Generation pipelines. I handle data preprocessing with NumPy and Pandas, integrate ML components into production, and design REST APIs with clean, well-tested, version-controlled code.

Previously at Horizon Tech Services (NUST), I engineered real-time voice-based RAG with LiveKit, Deepgram, and ElevenLabs, plus document-grounded question answering. I also built a CrewAI-based guide generator, a LangGraph + Groq ticket resolution system with strict classification and fallback handling, and additional modular backend work including FastMCP services and production systems like event and manufacturing management platforms.

Experience

Work history, roles, and key accomplishments

HL

AI ML Engineer

Horizon Tech Services (NUST) Pvt Ltd

Jan 2025 - Jun 2025 (5 months)

Engineered multiple AI systems including a real-time voice assistant with RAG from user-uploaded documents, an AI guide generator using multi-agent workflows, and an intelligent ticket resolution system using LangGraph and RAG. Also built modular MCP backend tooling integrating services such as expense tracking, file management, Manim, Google Drive, and weather updates.

Education

Degrees, certifications, and relevant coursework

UB

University of Science and Technology, Bannu

Computer Science

2020 - 2024

Grade: CGPA: 3.23

Studied Computer Science at the University of Science and Technology, Bannu (2020–2024), earning a CGPA of 3.23 and covering coursework including Cloud Computing (AWS), Docker, and Python.

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