Pradeep D.Private profile: Upwork shows its earnings only to signed-in members, so we check it every few weeks, not daily. MRR here is a rough estimate (Upwork's six-month earnings ÷ months active). Last read Nov 5, 2026.

Professional Summary • Digital Transformation Technology leader (Enterprise Architect and Cloud Solution Architect) with over 30+ years of IT industry experience, ranging from large enterprises to small and mid-sized organizations. • Held various roles from Solution Architect to Head - Enterprise Architecture function, and Digital Practice Head. Familiar with Architectural Framework – TOGAF, Zachman, COBIT Enterprise Architecture & IT Strategy • Conducted comprehensive enterprise architecture assessments utilizing TOGAF, EA tools like Mega HOPEX, Lean IX etc. and BIAN frameworks across banking, pharmaceutical, and manufacturing domains with few associations including Bank of America, RBS Bank, Capital Insurance Group, and AT&T, STC – Saudi Telecom company. • Developed IT strategy roadmaps aligned with business transformation, digital modernization, and regulatory compliance. • Translated business capabilities and process models into actionable architecture blueprints across domains. Cloud-Native Solution Architecture • Designed and implemented cloud-native solutions using Web Apps, API Gateways, Data Lakes, and AI platforms on Azure, AWS, and GCP. • Built metadata-driven API platforms with secure token-based authentication, scalable microservices, and CI/CD pipelines. • Architected Full-Stack web applications using Angular/React, .NET Core/Python backends, and deployed via containerized Azure App Services and AKS. Data Platform Engineering • Designed API-led data integration architecture normalizing data from multiple external and internal systems. • Built scalable cloud-native data platforms using Azure Data Lake, Synapse, Databricks, and Data Factory. • Created enterprise data governance frameworks covering classification, lineage, quality, and access control. • Implemented event-driven data integration using Azure Event Hub and Service Bus. • Led MDM architecture initiatives supporting enterprise-wide data consistency and governance. • Designed multi-tenant and secure cloud data architectures aligned with enterprise scalability requirements. AI/ML & Generative AI Platforms • Possess deep expertise in designing and implementing enterprise-scale Agentic AI solutions, with comprehensive understanding of the all-architectural layers for AI agent platforms, covering user interaction, access & security gateway, orchestration, knowledge & retrieval, multi model, governance & ethics, observability and audit, Platform, and infrastructure layer. • Governance & Guardrails: Architecting "Human-in-the-loop" (HITL) systems and automated safety layers to mitigate hallucinations, prompt injections, and PII leakage. • Infrastructure & Scaling: Designing high-throughput inference pipelines with Azure AI Foundry ensuring low-latency responses through model quantization and efficient caching. Presales Experience • 18+yrs of extensive experience in providing end-to-end Pre-Sales support, Anchored solution in large deals end to end ranging from $100K to $50M, consists of solution strategy, estimations and team composition and stitching the solution together and packaging it in a convincing way to the clients and provide pricing recommendations Global work experience • Overseas work experience in the US (CA - Bank of America) and Europe (Switzerland - Kiosk AG). Traveled US, Europe, and Singapore multiple times for requirement gathering/ Enterprise Architecture assessment/pre-sales engagements Enterprise Architecture (TOGAF, BIAN, ArchiMate, LeanIX, HOPEX) Cloud Architecture (Azure, AWS, GCP, AKS, APIM, Identity, Security) Web App and Mobile App (Angular, React, JavaScript Framework, ASP.NET Core Web Portals &Dashboards, Power Platform App) Data Platforms (ADF, Databricks, Synapse, MDM, Data Mesh, Data Fabric, Governance) Integration & APIs (Microservices, Event-driven, Kafka, Azure APIM, Apigee, API Gateway) DevOps & Automation (CI/CD, Azure DevOps, Containers) Presales & Strategy ($100K–$50M deals, RFPs, estimations) AI / ML / Gen AI (AI Platform Strategy & Architecture • Azure ML & Azure AI Foundry , Microsoft Copilot • Cognitive Services • Generative AI & LLM Applications • RAG • LLM Engineering & Model Lifecycle • AI Agents & Agentic AI Architectures, Lang Chain , Crew AI, AutoGen) INDUSTRY & DOMAIN COMPETENCIES Telecom: OSS/BSS, CRM, ECAM (AT&T), eTOM, and site management systems. BFSI (Banking, Financial Services & Insurance): Core banking (Retail/Corporate), P&C insurance architecture (policy/claims/renewals), KYC/AML compliance, loan origination (LOS), wealth management, and digital payment gateways. Healthcare & Education: EMR/PHR, Student Information Systems (SIS), and digital learning platforms. Manufacturing & Logistics: Supply chain management (SCM), Warehouse Management Systems (WMS), fleet management, demand forecasting, and ERP integration. Enterprise Architecture: Business–IT alignment, business capability modeling, value streams mapping etc.