Atiq Ur Rehman
@atiqurrehman1
AI/ML Engineer building Generative AI and scalable backend systems with production-ready APIs.
What I'm looking for
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
Python AI Developer
Samaritan Technologies
May 2026 - Present (2 months)
Develop and maintain AI/ML-driven features and backend services using Python, including FastAPI and LLMs with Retrieval-Augmented Generation pipelines. Build REST API integrations, preprocess data with NumPy/Pandas, and monitor/optimize production AI models and workflows.
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
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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