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Muhammad is a highly accomplished professional with a diverse skill set, excelling as a strategist, technologist, and project leader. His expertise lies in pioneering blockchain technologies, Web 3.0, and AI agents tailored for blockchain-based data. He has played a pivotal role in policy-level initiatives and cutting-edge research projects, particularly in tokenized and digital assets.

Muhammad’s notable positions include Project Director for CBDC and Tokenized Assets, Associate Director for Tokenized Assets, Web 3.0, and AI, as well as Industrial Research Director for ESRC. He has led transformative projects such as tokenized SME supply chain finance and served as Head of Innovation for Blockchain Layer 1, focusing on financial transactions for SMEs. His leadership extends to managing blockchain partnerships and spearheading groundbreaking initiatives in the field.

With over eight years of experience, Muhammad has defined strategies and led the implementation of blockchain solutions and AI-driven systems on Azure and AWS cloud platforms. His unique ability to integrate technical expertise with strategic vision positions him as a thought leader driving technological and organizational transformation.

Strategy –

Accomplished Strategy Director with expertise in defining and executing strategic roadmaps for projects involving blockchain technologies, tokenized assets, digital assets, data, and AI. Proficient in identifying market opportunities, shaping innovative strategies, and aligning emerging technologies with business objectives. Skilled in stakeholder engagement, policy formulation, and leading cross-functional teams to deliver transformative outcomes. Demonstrates a strong ability to bridge the gap between technical innovation and business value, driving growth and fostering innovation across industries in both public and private sectors.

Project Leadership –

Project Director with a strong track record of successfully leading and delivering projects in blockchain, tokenized assets, digital assets, data, and AI. Adept at managing end-to-end project lifecycles, including strategic planning, execution, and delivery of innovative technology solutions. Skilled in coordinating cross-functional teams, stakeholder engagement, and aligning project objectives with organizational goals. Combines deep technical expertise with strategic leadership to ensure the successful implementation of cutting-edge solutions, driving digital transformation and value creation across diverse industries.

Summary:

  • Industry and Academia Project Leadership
  • Enterprise Web 3.0 & AI Strategy
  • Blockchain technologies in Banking
  • Digital Asset Banking
  • AI Based Multi-Agent Advisory
  • Blockchain Technologies R& D Leadership  
  • Project Leadership
  • Blockchain Projects Advisory
  • Digital Assets Strategy
  • Tokenisation of Asset Strategy
  • Tokenisation Projects Leadership
  • Tokenised Assets Research 

Head of Blockchain Innovation (Layer 1)(Permissioned Blockchain)

  • Led the development and implementation of cutting-edge Layer 1 blockchain technologies.
  • Led protocol design, scalability solutions, and security enhancements.
  • Enterprise innovation to address real-world industry challenges with blockchain.
  • Build and nurture a robust blockchain ecosystem with developers and partners.
  • Collaborated with cross-functional teams to integrate blockchain solutions seamlessly.
  • Drived advancements in decentralized technologies to ensure market leadership.

Head of Tokenized Assets and AI

  • Strategy and frameworks for the tokenization of physical and digital assets.
  • Integrated AI-driven insights to optimize asset management and operational efficiency.
  • Led the development of new opportunities in tokenized assets and AI applications.
  • Ensure regulatory compliance and risk management for tokenized asset projects.
  • Collaborated with stakeholders to deliver innovative, scalable solutions.
  • Led the adoption of tokenized ecosystems across industries and investors.

Industrial Partner – Tokenized Supply Chain Finance

  • Lead tokenization initiatives in supply chain finance, optimizing working capital flows.
  • Design and implement transparent, efficient financial models for supply chain ecosystems.
  • Collaborate with industry leaders to identify and address pain points using tokenization.
  • Develop and promote standards for tokenized supply chain operations.
  • Foster partnerships with enterprises to enable large-scale adoption.
  • Deliver financial innovations tailored to the complexities of supply chain ecosystems.

Head of Research – CBDC and Tokenized Assets

  • Lead research on Central Bank Digital Currencies (CBDCs) and tokenized assets.
  • Develop frameworks for digital currencies aligned with global regulatory standards.
  • Analyze global trends and pilot innovative approaches for CBDC and asset tokenization.
  • Collaborate with public and private entities to inform policy and technical designs.
  • Leadership of industry and research collaborative Projects
  • Shape the future of digital finance through innovative, data-driven insights.

Director – Blockchain Projects and Partnership

  • Project Director – Uses cases based on Permissioned & Permissionless Blockchain
  • Develop governance models and scalable operations for digital assets.
  • Drive integration of decentralized technologies into investment frameworks.
  • Ensure compliance with global regulatory standards for digital assets.
  • Build secure, efficient, and transparent decentralized asset ecosystems.
  • Align business goals with the dynamic landscape of decentralized finance (DeFi).

AWS Project Leadership – AI/Blockchain & Data

  • Project Director – Uses cases based on Permissioned & Permissionless Blockchain
  • Strategic Leadership: Led the design, development, and deployment of AI agents and machine learning models on AWS cloud infrastructure, ensuring scalability and performance.
  • Cloud Integration Expertise: Oversaw seamless integration of AI-driven solutions with AWS services such as SageMaker, Lambda, and DynamoDB for data processing and model deployment.
  • Project Management: Directed end-to-end lifecycle of AI projects, from concept to execution, aligning deliverables with organizational goals and timelines.
  • Advanced Model Development: Spearheaded the creation and optimization of predictive and generative AI models for diverse applications, leveraging AWS-native tools.
  • Cross-Functional Collaboration: Worked closely with data scientists, engineers, and stakeholders to translate business needs into technical solutions powered by AI.
  • Security and Compliance: Ensured robust security, data privacy, and compliance with regulatory standards for AI-driven solutions in AWS environments.
  • Cost Optimization: Implemented cost-effective strategies for cloud resource utilization while maintaining high availability and performance of AI models.
  • Innovation Focus: Drove innovation in AI solutions, including real-time decision-making agents and automated workflows using AWS AI and ML capabilities.
  • Performance Metrics: Monitored and refined AI models based on real-time analytics and feedback, ensuring continuous improvement.
  • Thought Leadership: Acted as a subject matter expert in AI and AWS, providing strategic direction and sharing insights on emerging trends and technologies.

Azure Based AI Project Leadership – Financial Transactions

  • Strategic Leadership: Directed the design and deployment of AI agents and machine learning models within the Azure ecosystem, ensuring alignment with organizational objectives.
  • Azure AI Integration: Leveraged Azure services such as Azure Machine Learning, Cognitive Services, and Databricks to build and deploy scalable AI solutions.
  • Project Lifecycle Management: Led end-to-end project management for AI initiatives, from requirements gathering and model training to deployment and monitoring on Azure.
  • Model Development: Designed and optimized predictive, generative, and NLP models using Azure-based tools and frameworks, enabling intelligent automation and decision-making.
  • Cross-Disciplinary Collaboration: Collaborated with engineers, data scientists, and business stakeholders to implement AI solutions tailored to complex use cases.
  • Cloud Security & Compliance: Ensured compliance with data privacy regulations and implemented secure practices for AI solutions hosted on Azure.
  • Cost Optimization: Strategized cost-efficient use of Azure resources, optimizing compute, storage, and AI service consumption.
  • Scalability & Performance: Developed AI agents and models capable of scaling dynamically in Azure, leveraging tools like Azure Kubernetes Service (AKS) for deployment.
  • Performance Monitoring: Established monitoring and feedback loops using Azure Monitor and Application Insights for continuous improvement of AI models.
  • Thought Leadership: Contributed to the organization’s AI vision by providing expertise in Azure AI technologies and identifying emerging opportunities for innovation.