I am Abdul Rehman Baber, a production-focused AI engineer specializing in agentic systems, model context protocol, and full-stack AI delivery. I design scalable AI platforms with an emphasis on performance, deterministic outputs, tool governance, and production hardening with secure execution boundaries. I excel at building multidisciplinary AI systems that integrate multiple tools and providers, optimize cost and latency, and deliver reliable, production-ready experiences for users across languages and modalities.

Abdul Rehman Baber

I am Abdul Rehman Baber, a production-focused AI engineer specializing in agentic systems, model context protocol, and full-stack AI delivery. I design scalable AI platforms with an emphasis on performance, deterministic outputs, tool governance, and production hardening with secure execution boundaries. I excel at building multidisciplinary AI systems that integrate multiple tools and providers, optimize cost and latency, and deliver reliable, production-ready experiences for users across languages and modalities.

Available to hire

I am Abdul Rehman Baber, a production-focused AI engineer specializing in agentic systems, model context protocol, and full-stack AI delivery. I design scalable AI platforms with an emphasis on performance, deterministic outputs, tool governance, and production hardening with secure execution boundaries.

I excel at building multidisciplinary AI systems that integrate multiple tools and providers, optimize cost and latency, and deliver reliable, production-ready experiences for users across languages and modalities.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

English
Advanced

Work Experience

Generative AI Researcher & Developer at Project Hamburg Research-Canada
January 1, 2023 - Present
Led architecture and delivery of MapleScholar and Local-MCP initiatives, owning technical strategy for 5+ production AI applications. Designed and deployed MCP-based tooling ecosystem integrating 25+ specialized tools across polyglot Node.js/Python servers with 100% test coverage. Built multi-provider LLM integration (6+ APIs) with intelligent fallback mechanisms, reducing API costs by 60% through a ChromaDB caching layer. Implemented LangGraph agentic workflows with JSON Schema/Pydantic validation achieving 95%+ response accuracy in production. Delivered Next.js SSR/PWA systems with sub-2.5s LCP and 90+ PageSpeed, 100GB/month bandwidth. Engineered multimodal OCR continuity reconstruction and automated multi-API ingestion pipelines with deduplication and AI enrichment. Developed domain-specific compression to fit 160K+ word legislative documents into constrained context windows. Established production hardening patterns: structured output validation, failure recovery, retries, rate-lim

Education

MSc, Project Management at SZABIST University, Islamabad
January 1, 2021 - January 1, 2023
BSc, Computer Science at National University of Modern Languages
January 1, 2015 - January 1, 2020

Qualifications

DeepLearning.AI: AI Agents with LangGraph | Multimodal RAG | Knowledge Graphs for RAG | LLMOps Testing & Evaluation
January 11, 2030 - February 6, 2026
AWS Solutions Architect Bootcamp
January 11, 2030 - February 6, 2026

Industry Experience

Software & Internet, Media & Entertainment, Professional Services, Education, Other

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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