LLM systems
Architecture for retrieval, agent workflows, model integration, and evaluation in production products.
Botmer talent profile
Abdul Rehman
Lead AI Engineer & MLOps Specialist
AI engineering leader with experience taking machine learning and LLM products from early architecture through production. His work spans multi-agent workflows, retrieval systems, cloud infrastructure, and technical leadership.
- 8+
- years across software, data, and AI
- Former CTO
- product and engineering ownership
- 2
- peer-reviewed IEEE papers
Abdul Rehman
Lead AI Engineer
Meet the engineer
A concise introduction, in his own words
Abdul introduces his background in AI, deep learning, data science, startup delivery, and published research.
Production-minded AI leadership
- Former CTO with experience owning product strategy, architecture, and engineering delivery
- Multi-agent LLM systems and production retrieval-augmented generation pipelines
- Cloud deployments across AWS, Azure, Google Cloud, and Oracle Cloud
- Applied AI experience across NLP, computer vision, document intelligence, and recommendation systems
- Two peer-reviewed IEEE publications in deep learning and computer vision
Core competencies
Where Abdul adds the most value
Cloud & MLOps
Deployment, observability, service design, and production operations across major cloud platforms.
Applied machine learning
Practical ML systems for document processing, biometrics, recommendations, and content moderation.
Technical leadership
From architecture decisions and team direction to stakeholder alignment and end-to-end delivery.
Experience
From research to production ownership
Abdul’s supplied résumé shows a progression through applied research, data science leadership, cloud engineering, and CTO-level product ownership.
Lead AI Engineer
Architects LLM workflows, production retrieval systems, and cloud infrastructure while supporting software teams across multiple regions.
Chief Technology Officer
Owned product strategy, technical architecture, and engineering delivery across web and mobile products, including AI estimation and onboarding systems.
Lead AI & Cloud Engineer
Worked on recommendation, moderation, backend APIs, third-party integrations, cloud deployment, and application security.
Lead Data Scientist
Progressed into leadership while delivering commercial NLP, computer vision, document intelligence, and generative AI systems.
Research Assistant
Conducted applied deep learning research and co-authored two peer-reviewed IEEE conference papers.
Selected work
Systems designed to ship
Representative work drawn from the supplied résumé, focused on Abdul’s role and technical contribution.
Builtop
Technical ownership across an AI estimation engine, forecasting model, onboarding assistant, and web and mobile delivery.
recordme.ai
An invoice information extraction pipeline combining OCR, named entity recognition, and table detection.
Facia.ai
Real-time liveness detection and supporting services for face biometric verification.
Shufti Pro
Document verification work covering identity documents, driving licences, bills, and anomaly detection.
Education & research
An applied research foundation
M.S. Computer Science
FAST, National University of Computer and Emerging Sciences, Islamabad. Research focused on applied deep learning and computer vision.
Other Botmer engineers
Related talent
Two profiles with complementary experience across web platforms, mobile delivery, and full-stack product engineering.
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