I build auditable, enterprise-secure AI systems for regulated sectors, combining GraphRAG, source attribution, and on-premise deployment so teams can verify how AI reaches its answers.
Microsoft MVP · IEEE Ethical AI mentor · Abu Dhabi, UAE
Available for Enterprise Knowledge Graph, MCP Server & On-Premise Generative-AI Automation engagements
Capabilities
Dedicated deep-dive pages for each capability — architecture, stack, outcomes, and how we engage. Use these as a quick map of what I deliver for regulated enterprises.
Ontology, GraphRAG and entity extraction over Neo4j / pgvector — the reasoning layer your LLMs need.
EXPLORE →
Production-grade MCP servers exposing your enterprise tools to LLMs with auth, audit and guardrails.
EXPLORE →
Agentic workflows that read, decide and act — document review, complaints triage, BI copilots.
EXPLORE →
LLaMA, DeepSeek, Mistral on your own GPUs with vLLM and Ollama — sovereign, regulated GenAI.
EXPLORE →
Selected production engagements across public-sector and enterprise.
EXPLORE →
Discovery, architecture, pilot and scale engagements end-to-end.
EXPLORE →
Microsoft MVP, UAE Golden Visa, 12+ years shipping production AI.
EXPLORE →
Field notes on Knowledge Graphs, MCP and on-prem GenAI.
EXPLORE →
Email, WhatsApp, LinkedIn or a 15-min Calendly.
EXPLORE →
Clean, parser-friendly resume covering Generative AI, Enterprise RAG, on-premise LLM and AI leadership. Typos fixed, achievements quantified, and skills consolidated for high ATS match rate.
Seasoned AI and Analytics Leader with over 12 years of experience in AI strategy, business intelligence, and data science. Proven track record in leading AI-driven initiatives that optimize operations, enhance decision-making, and unlock new revenue streams. Adept at aligning AI strategies with business objectives and fostering cross-functional collaboration.
Expertise in Generative AI, LLMs, NLP, Deep Learning, and MLOps. Skilled in architecting and deploying on-prem and cloud-based LLM systems, building vectorized RAG pipelines, and fine-tuning models for domain-specific applications.
Proficient in developing scalable backend systems and deploying AI solutions on cloud platforms. Experienced with microservices architecture, real-time applications, and optimizing AI infrastructure for performance and security.
Extensive experience in full-stack development, building responsive web and mobile applications. Skilled in modern front-end frameworks, mobile app development, and integrating complex backend systems.
Specializing in creating AI-driven dashboards, real-time analytics, and decision support systems. Expertise in data visualization tools to transform complex data into actionable insights for strategic decision-making.
Businesses lacked a dynamic way to model and automate complex workflows in real-time.
I designed an AI-driven platform that integrates a form builder with a BPMN API for real-time workflow modeling, assisted by AI for decision-making.
Enabled organizations to automate intricate processes, improving operational efficiency and providing data-driven insights from workflow analytics.
AI Strategy Leader and Microsoft MVP with 14+ years of enterprise delivery, including 6+ years architecting and scaling Generative AI, On-Premise LLM, and Enterprise RAG programs for sovereign government and Fortune-class clients in the UAE.
I have led cross-functional teams of 10+ engineers, data scientists, and BI analysts; shipped GenAI platforms that cut decision-support latency by 40%, reduced manual operational workload by 35–40%, and unlocked an estimated AED 25M+ in annual operational value — all while maintaining 100% compliance with UAE data sovereignty requirements.
Based in Abu Dhabi and a Senior Member of the IEEE, I focus on the leadership-level outcomes that matter to the C-suite: measurable ROI, time-to-production, regulatory compliance, and total cost of ownership for sovereign AI.
Confidential (Sovereign Entity supporting the Emirate's Executive Leadership)
Abu Dhabi
Tech Mahindra
Abu Dhabi
Stroika Computer Software
Abu Dhabi
State Corps
Dubai, UAE
ESAT
Abu Dhabi
Alwaffa Group
Dubai
Computer Science
BMC Of Engineering
System Design Portfolio
Reference architectures from production systems I have led — from data ingestion through retrieval, on-premise LLM serving, and audited response delivery. Designed for sovereign, regulated enterprise environments in the UAE.
End-to-end data flow: ingestion → knowledge graph → hybrid retrieval → on-prem LLM → verifiable, cited response.
Layered reference architecture for regulated enterprise GenAI: channels, gateway, orchestration, GPU-served LLMs, data layer, and MLOps foundation.
Architected and developed VeritasGraph, a novel RAG pipeline that moves beyond traditional vector search to deliver trustworthy and verifiable AI for enterprise applications. This system leverages graph database technology to ensure response accuracy and source traceability, directly addressing critical barriers to enterprise AI adoption.
A breakdown of a GitHub project that integrates a traditional ERP system with modern AI capabilities using React for the front end and a powerful backend.
Exploring the powerful combination of Building Information Modeling (BIM) and Geographic Information Systems (GIS) to create advanced 3D visualizations for smart city planning.
A novel, cost-effective framework for real-time traffic monitoring and analysis leveraging Google Maps API and R to extract high-resolution traffic data.
A practical guide to building and deploying a WhatsApp chatbot for e-commerce, aimed at automating customer service and boosting sales.
A breakdown of an open-source e-commerce project built using Next.js and Tailwind CSS, perfect for building fast, scalable online stores.
A project created to assist in the demands of orders from customers via WhatsApp using Node.js and Venom Bot.
An overview of Cloud ERP systems, their modules like Sales, Purchase, and Inventory, and how they organize a company's resource utilization.
A dive into an open-source Flutter e-commerce app repository that offers a fully functional app with product listings, user authentication, and more.
Original scientific contributions and scholarly articles in the field of Enterprise AI and Urban Mobility.
IEEE International Conference Proceedings
Presents a data-driven framework for analyzing real-time traffic patterns to improve urban mobility.
3rd International Conference on Advancing Sustainable Futures (Abu Dhabi University)
Introduces a sovereign GraphRAG framework for enterprise AI, addressing verifiable attribution and solving the 'Black Box' problem.
U.S. Citizenship and Immigration Services
Approved for the prestigious EB-1A classification, reserved for individuals who have risen to the very top of their field of endeavor with national or international acclaim.
Issued: 2026
UAE Government
A prestigious long-term residence visa granted to individuals with exceptional talent and outstanding contributions in their field.
Issued: 2023
Microsoft
Recognized as a Microsoft Most Valuable Professional (MVP) in the Award Category 'AI Platform' with a Technology Area focus on 'Azure AI Services'. This honor is awarded to exceptional, independent community leaders who share their expertise, real-world skills, and passion for technology with others. https://mvp.microsoft.com/en-US/MVP/profile/82907406-614d-48e7-8f17-20b092325d57
Issued: 2025
Institution of Engineering and Technology (IET)
An internationally recognized mark of engineering competence and commitment, demonstrating the ability to develop appropriate solutions to engineering problems.
Issued: 2025
DAMA International
A globally recognized certification for data management professionals, demonstrating expertise in data governance, quality, and architecture.
Issued: Apr 2025
IEEE.org
IEEE.org is the world's largest technical professional organization dedicated to advancing technology for humanity. Through its global community of over 400,000 members across 160+ countries, IEEE provides https://ieee-collabratec.ieee.org/app/p/BibinPrathap1145633
Issued: Apr 2025
Oracle
Issued: 2021
Oracle
Issued: 2020
Microsoft
Issued: 2020
MACL
Issued: Feb 2022
A commitment to continuous learning through non-academic courses to stay at the forefront of leadership, communication, and technology, particularly in AI and data science.
©2025
Available for AI/ML Consulting
Preview the accepted manuscript directly here, or open the full PDF in a new tab for easy sharing and citation.