About Iman
I am a hands-on engineer with 6+ years of end-to-end production experience in Python, LLMs, and Data Science. I build Agentic RAG systems and end-to-end data pipelines.
Production Experience:
- Sovereign Enterprise AI (Defense & Banking): Architected GenAI roadmap for Tier-1 partners including BAE Systems and Santander. Designed and deployed air-gapped Agentic RAG pipelines (Llama 3, QDrant) that enabled secure internal document querying without exposing sensitive IP to public APIs.
- National Infrastructure Optimisation (IoT): Engineered a self-healing HVAC management system for UK public sector buildings. Deployed edge-optimised TensorFlow models across a distributed IoT sensor network to autonomously regulate HVAC systems, slashing annual energy OPEX by 17%.
- Intelligent Process Automation (Computer Vision): Built a high-throughput Intelligent Document Processing (IDP) engine using AWS Textract and OpenCV. Replaced manual data entry workflows with a custom Python/Vision pipeline that achieved 95% automation accuracy for unstructured handwritten datasets.
Technical Stack:
- GenAI: Agentic RAG, LangChain, LlamaIndex, Vector DBs, OpenAI API, Hugging Face.
- Data & Viz: SQL, Pandas, Tableau, PowerBI, Databricks.
- DevOps: Docker, AWS, Azure, CI/CD, Git.
Links/Info:
- Website: * GitHub: * LinkedIn: * Location: Utrecht.
- Status: Partner Visa (Arbeid vrij toegestaan) - No Sponsorship Required.
English
Native or bilingual
Dutch
Conversational
Can work on-site
Utrecht (up to 50km)
Experience
- CranfieldSenior AI/Data EngineerDIGITAL AND ITJuly 2023 - July 2025 (2 years)England, UK
- Developed AI strategy roadmaps for industry partners such as BAE Systems and Santander, championing PEFT/LoRA fine-tuning and local AI systems to reduce compute overheads and enable viable scalability.
- Standardised the corporate GenAI workflow for 100+ staff by enforcing a Python/LangChain template, cutting the average time-to-MVP for new internal AI tools from 3 months to 2 weeks.
- Deployed automation workflows and pipelines for partners, including HM Government and Microsoft, streamlining critical business operations.
- Centre for Global Eco-InnovationLead Data & MLOps EngineerDIGITAL AND ITMarch 2021 - June 2023 (2 years and 3 months)England, UK
- Delivered 17% energy reduction in UK schools via predictive deep learning models, optimising HVAC systems to improve air quality whilst improving efficiency.
- Architected robust IoT/Docker/Linux pipeline processing 2M+ real-time smart-sensor data points using Python (NumPY, Sci-Kit Learn, Tensor) to turn data into actionable insights and intelligence.
- Translated model outputs into policy reports, strategic advice and recommendations for 20+ stakeholders, leveraging Matplotlib and Seaborn to create engaging and impactful data visualisations.
- Explore LearningPlatform EngineerDIGITAL AND ITNovember 2017 - March 2021 (3 years and 4 months)England, UK
- Standardised QA processes (PyTest, Selenium) and improved performance setting and reaching targeted goals and KPI's.
- Supported the VLE launch, assisted with developing and scaling infrastructure to support 40k concurrent users ensuring stability and positive user experience.
- Drove growth through continual product improvements, effective management and communication skills.
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Education
- PhD Computer ScienceLancaster University2023PhD Computer Science - Focusing on AI and Machine Learning on IoT Devices.
- MSc Computer EngineeringUniversity of Wolverhampton2020MSc Computer Engineering focusing on machine learning and machine vision applications.