Years in IT
18+
Hands-on architecture, delivery, and enablement
DataHulk builds, deploys, and scales real-world AI and data systems across Microsoft, AWS, GCP, and Databricks — with the same discipline used to design production multi-agent architectures: orchestration, MCP tool access, RAG memory, and Guardrails.
18+ years of IT depth. Measurable outcomes — not slideware.
Trusted by 65+ enterprises · Singapore · Dubai · UK · USA · France · Germany · India
Evidence across AI, data, cloud, and automation programs for enterprise teams and partner-led engagements.
Hands-on architecture, delivery, and enablement
Trusted partners across global markets
Engineers, architects, and leaders enabled
On-site, remote, and hybrid delivery
Each service is modeled like an agent: a specialist with clear tools, memory, and a contract back to the orchestrator.
Intelligent enterprise apps with Azure OpenAI, AWS Bedrock, and Vertex AI. Copilots and agents that solve real problems.
Lakehouse pipelines with Databricks, Microsoft Fabric, Snowflake, and cloud warehouses for analytical excellence.
Adoption across Azure, AWS, and GCP. Cost, performance, and security designed as one operating model.
Role-based capability programs with labs and implementation guidance — founder-led specialist delivery.
GitHub Copilot, Microsoft Copilot, and agentic coding workflows with governance that enterprises can live with.
Multi-agent orchestration, MCP tool graphs, RAG memory, and guardrails — from prototype to production.
Discover, design, enable, adopt, scale — each stage hands context to the next, the way a well-designed agent graph should.
Direct access to senior FDEA expertise. One architect who can sit with your engineers, your data platform, and your AI control plane.
Schedule a consultation on AI, data, and cloud adoption — or a working session on multi-agent design, MCP, and AgentOps.
Comprehensive AI, data engineering, and cloud consulting across Microsoft, AWS, GCP, Databricks, and Snowflake — delivered globally.
Build AI solutions that work. From roadmap to production — identify opportunities, build systems, operationalize AI.
Modern data infrastructure. Cloud-native platforms with Databricks, Fabric, Snowflake, and lakehouse architectures.
Move to cloud with confidence. Azure, AWS, and GCP — architecture, cost, and legacy modernization.
Global training delivery. On-site in Singapore, Dubai, UK, USA, France, Germany, plus remote worldwide.
Enterprise-grade compliance. Governance, security frameworks, and regulated-industry readiness.
Vision to execution. Data strategy, transformation roadmaps, and architecture aligned to the business.
Ready to discuss AI, data, or cloud transformation? Schedule a free consultation.
Generative AI & Agentic AI Strategist
Award-caliber, in-demand AI & Cloud Transformation consultant with 18+ years driving Fortune 500 enterprise adoption of Generative AI, Agentic AI, and modern cloud/data platforms. Repeatedly the go-to expert selected for the most demanding enterprise training, consulting, and architecture mandates, with a track record of translating cutting-edge AI capability (Claude, Azure OpenAI, Bedrock, GitHub Copilot) into measurable business outcomes — faster delivery, lower cost, and durable engineering capability. Certified across Claude, Microsoft, Databricks, AWS-aligned, and HashiCorp technology stacks, combining rare breadth with deep, hands-on architecture credibility.
Enterprise AI, Cloud & Data transformation programs across Fortune 500 organizations
Consulting, architecture advisory & executive enablement
Engineers, architects & tech leaders across NA, Europe, APAC & India
Daily lakehouse workload — 50% faster, 25% lower cost
Claude (Bedrock/Enterprise/Code), Azure OpenAI, Azure AI Foundry, Amazon Bedrock, Vertex AI, GitHub Copilot Enterprise, RAG, LLMOps, AgentOps, MCP, Multi-Agent Systems, Prompt Engineering.
Azure, AWS, GCP, Databricks, Snowflake, Microsoft Fabric, Terraform, Kubernetes, PySpark, CI/CD, SAP BW, SAP BODS, SAP BOBI, SAP S/4HANA.
AI Governance, Responsible AI, AI Guardrails, AI Observability, Developer Productivity.
Prompt engineering, core capabilities, and business use-case mapping.
API integration, Claude Code, and Model Context Protocol setup.
Multi-agent orchestration, agentic workflow design, and system trade-off analysis.
Architect — Professional: cross-cloud deployment, high-volume governance, and strict compliance security.
20+ Fortune 500 and global enterprises across banking, telecom, manufacturing, and technology.
Liverpool John Moores University, UK
IIIT Bangalore
RGPV, Bhopal
18+ years of hands-on delivery, ready for your next AI, data, or cloud initiative.