VINOD KUMAR TIWARI
Solution Architect & Manager | Strategic Technology Leader | Digital Transformation Expert
Dubai, UAE · 📞 +971 585770053 · ✉️ hello.vinodtiwari@gmail.com · 🌐 LinkedIn
Vinod Kumar Tiwari is a seasoned Solution Architect and Strategic Technology Leader with over two decades of experience in developing and managing enterprise-scale digital transformation projects in the logistics, supply chain, and connected mobility domains, as well as several other relevant sectors. He specializes in blockchain-enabled fleet tracking systems and the application of artificial intelligence for predictive
analytics, autonomous routing, and last-mile optimization. Additionally, my initiatives have bridged the gap between academic theory and industry application, currently impacting over 83 million end users globally in the QSR industry.
As a technical innovator, Vinod bridges business strategy with R&D, having worked with organizations like Americana Restaurants, Ma, and Amantya Technologies, Nagarro Software. His most recent work involves integrating AI and blockchain to ensure secure, transparent, and Intelligent fleet operations in real time.
As a technical innovator, Vinod bridges business strategy to lead and execute technical implementations for global clients, including Americana Restaurants (last-mile delivery platform), McKinsey & Company (telecom e-commerce solution), VMWare (vSphere Hypervisor integration), Microsoft (CRM and CafeX integration), NBC (media streaming projects), LiveOps (CTI systems), Intershop (e-commerce platform), and ABP News (digital media delivery and broadcast systems).
Academic Credentials
Executive Management Program in Entrepreneurship Development (2021-22)
Indian Institute of Technology, Delhi, India
Post Graduate Diploma in Machine Learning & Artificial Intelligence (2018-19)
Amit University, Gautam Budh Nagar, U.P., India
Master’s in computer applications (2008-10)
Indira Gandhi National Open University, New Delhi, India
Post Graduate Diploma in Computer Applications (2006-07)
University of Delhi, Delhi, India
Research Focus
Blockchain and Artificial Intelligence for Real-Time Fleet Tracking in Logistics & Last-Mile Delivery
Bridging enterprise architecture with cutting-edge research, Vinod explores how Blockchain and Artificial Intelligence can revolutionize logistics by enhancing transparency, security, route optimization, and operational efficiency in real-time fleet tracking systems. With a unique blend of academic grounding and over two decades of deep industry experience, his work focuses on integrating distributed ledger technology (DLT) with machine learning (ML) to create intelligent, autonomous, and accountable logistics systems, visionary and result-driven solutions architect, building a high-performance engineering and digital transformation research initiatives to lead innovation, growth, and sustainable value creation at the executive level.
Research Interests
- Real-time Fleet Monitoring with Blockchain-backed Audit Trails
- AI-powered Predictive Maintenance & Route Optimization
- Federated Learning for Edge-based Fleet Intelligence
- Smart Contracts for SLA Enforcement in Delivery Services
- IoT + Blockchain Integration for Supply Chain Transparency
- Decentralized Digital Identity for Driver & Vehicle Verification
- Token-based Incentive Models for Driver Behavior and Efficiency
- Last-Mile Logistics Optimization
- Edge-AI & IoT for Smart Mobility Systems
- Digital Twins in Fleet Management
- Secure, Scalable Decentralized Fleet Networks
- AI Ethics and Governance in Logistics Tech
Technical Expertise
- Blockchain: Ethereum, Smart Contracts, Token Models, Hyperledger Fabric, Ethereum (PoA), Solidity, Chaincode
- AI/ML: Python, Amazon Forecast, Azure ML Studio, AWS SageMaker, Scikit-learn, TensorFlow, OpenCV
- Fleet IoT: MQTT, Telematics APIs, Geo-Fencing, Edge AI, GPS Analytics
- Cloud: Microsoft Azure (AKS, App Services, IoT Hub, ADF), AWS (Glue, Lambda, EMR), AWS Glue, Azure Data Factory, APIM
- Languages: Java/J2EE, Python, Node.js, React.js, Spring Boot
- Architecture: Microservices, Serverless, Event-Driven, Cloud-Native Patterns
- Data: Confluent Kafka, PostgreSQL, Data Lakes, Redis, MongoDB
- Monitoring: Automated Monitoring, Azure Monitor, App Insights
- Frontend: React.js, Angular, Redux
- Databases: PostgreSQL, DynamoDB, Redis, Azure SQL
- DevOps & Tools: Docker, Azure DevOps, GitHub Actions, Jenkins, SonarQube
Research & Technical Contributions
- Blockchain-Enabled Real-Time Fleet Tracking
- Developed proof-of-concept for a tamper-proof logistics ledger using Hyperledger Fabric and smart contracts.
- Designed architecture to verify rider delivery logs, GPS trails, and payment reconciliations across distributed nodes.
- AI-Powered Logistics Intelligence
- Created ML models for route optimization, traffic-aware ETA predictions, and delivery load balancing using Python, AWS, Forecast, and SageMaker.
- Integrated Business Intelligence dashboards for real-time KPI visibility of 83+ million order transactions
- Cloud-Native Scalable Architecture
- Leveraged Azure AKS, Kafka, Blob Storage, and Event Grid for asynchronous fleet data streaming.
- Architected APIs and microservices for 2,500+ restaurants, 8,500+ riders, and multi-country real-time delivery orchestration.
- Predictive Maintenance & Digital Twins
- Developed a pilot using Azure Digital Twins and IoT Hub for condition-based fleet maintenance using AI-based anomaly detection.
Professional Objectives
Blockchain: To lead groundbreaking research and architecture in blockchain-integrated intelligent logistics, focusing on sustainable, transparent, and AI-driven fleet tracking systems, contributing to global advancements in mobility-as-a-service (MaaS) and autonomous logistics platforms.
Product Development: Collaborate closely with product teams to ensure that technological choices support product development. Oversee software architecture in HLD and LLD, infrastructure, and product roadmap.
Team Leadership: Leads and manages engineering and IT teams, fostering growth and ensuring productivity. Attracts, hires, and retains top tech talent within the team using offshore and onsite execution models with cost-effective solutions.
Innovation and R&D: Explores emerging technologies and determines their potential value to the company. staying current with the latest Azure, AI, and GitHub capabilities, cloud application patterns, and being a practitioner of one or more enterprise languages, Java/J2EE, Python, React.js, and Node.js.
Security and Risk Management: Ensures data security, compliance, and privacy. Works to protect the company’s digital assets and mitigate technological risks in the digital domain of home delivery services.
Collaboration with Other Executives: Partners with other C-suite executives to align technology initiatives with business objectives and support decision-making at the executive level. Drive vendor/partner relationships to anticipate, identify, escalate, and work to resolve technical blockers to accelerate consumption and solution implementation, and proactively use knowledge of the new products,
services and value propositions of
Technology Partnerships: Manages relationships with vendors, technology partners, and stakeholders. Evaluates and negotiates technology investments and contracts.
Budget & Cost Optimization: End-to-end tracking and monitoring of the CapEx and OpEx consumption for the projects and BAU. Creates optimization plans and executes to save costs and reduce future budgets.
AWS Cloud & Open Source Solutions: Experienced in end-to-end Technical Architecture for large scale enterprise systems in Java/J2EE technologies, Spring Boot, Hibernate, Spring, EJB, JMS, Microservices, Serverless, Angular 8, Python, Artificial Intelligence and Machine Learning with Amazon Elastic MapReduce, AWS Glue (ETL), AWS Cognito, AWS Serverless, Amazon Forecast, Amazon Sage Maker, Data Science, Jupiter Notebook, Android Automotive OS Platform, Big Data, Apache Kafka, Apache Spark, Hadoop with Automotive and Connected Car Experience.
Microsoft Azure Cloud Native: Experienced in building the solution using the cloud native services like Azure Virtual Desktop, Azure Kubernetes Service (AKS), API Management, Logic apps and functions, Traffic Manager, Application Gateway, Application Insights, Azure Monitor, Data Factory, Azure Database for PostgreSQL, Azure Firewall, Azure Cache for Redis, Azure DevOps, Azure Key Vault, Azure DDOS Protection, Azure Defender Protection etc.
Collaboration Interests
Vinod is open to collaborative research, grant-funded projects, industry-academic partnerships, and co-authorships in the following domains:
- Blockchain + AI in Logistics
- Smart City & Intelligent Transport Systems
- Supply Chain Transparency & Provenance Tracking
- Federated Learning for Edge-based Fleet AI
- Sustainable and Green Logistics Solutions