Vishal Sharma

Enterprise Data & AI Platform Leader

I’m Vishal Sharma, a GCP Data & AI Solutions Architect and Enterprise Cloud Transformation Leader with over 15 years designing cloud-native platforms that transform how organizations leverage data and AI to drive measurable business outcomes.

My career has been dedicated to building production-grade AI systems that move beyond proof-of-concept to deliver real impact—architecting platforms that process millions of transactions, securing enterprise investments through ROI-driven proposals, and leading teams to operationalize AI at scale. I focus on the intersection of strategic architecture, hands-on execution, and business value delivery.

What I Build

Production AI Systems at Enterprise Scale I architect GenAI and ML platforms that operate in production environments—systems processing millions of monthly transactions with measurable accuracy, rigorous evaluation frameworks, and robust monitoring. My approach emphasizes moving quickly from POC to production (weeks, not months) while maintaining the operational rigor required for enterprise adoption.

Cloud-Native Data Platforms I design modern data architectures—lakehouse implementations, event-driven systems, real-time analytics pipelines—that consolidate fragmented legacy systems into unified, scalable platforms. This includes leading large-scale cloud migrations (350+ TB) and building multi-cloud integration patterns that bridge AWS and GCP ecosystems.

MLOps & LLMOps Maturity I establish the operational foundations that make AI systems trustworthy and sustainable: evaluation frameworks with statistical validation, drift detection, model monitoring, automated testing, and governance practices. This includes implementing systematic approaches to measure accuracy, track performance degradation, and maintain compliance at scale.

Business-Driven Architecture I translate complex technical challenges into compelling business cases that secure investment—having helped organizations commit $50M+ to platform modernization through TCO analysis, hands-on POC validation, and executive presentations. Every architecture decision ties back to measurable outcomes: cost savings, revenue impact, or operational efficiency.

Core Expertise

Technical: Google Cloud Platform (BigQuery, Vertex AI, Dataflow, Pub/Sub) • GenAI & RAG Systems (Gemini, Vector Databases, Fine-Tuning) • Data Architecture (Lakehouse, Event-Driven, Customer360) • Python, Java, SQL, Terraform

Leadership: Solution Architecture • Technical Discovery & Workshops • POC Design & Validation • Team Building & Mentorship • Cross-Functional Collaboration

Industry Impact

My work spans telecommunications, automotive, healthcare, and manufacturing—helping organizations ranging from multi-billion dollar enterprises to Fortune 500 companies modernize their data ecosystems and operationalize AI. Recent highlights include a production GenAI platform processing 2M+ monthly customer interactions with 85% accuracy and $1.2M in retention value, and Customer360 systems increasing marketing ROI by double digits while enabling real-time decision-making at scale.

Approach

I believe in:

  1. Business-First Architecture – Every technical decision must tie to measurable business outcomes
  2. Rapid POC Validation – Build working prototypes in weeks to prove feasibility and accelerate stakeholder buy-in
  3. Production-Grade from Day One – Focus on scalability, reliability, observability, and governance—not just demos
  4. Team Enablement – Foster engineering autonomy through standards, automation, and technical mentorship
  5. Continuous Improvement – Establish feedback loops, monitoring, and evaluation to ensure systems improve over time

Education & Certifications

Master of Science, Computer Science Texas A&M University – Commerce

Certifications: Google Cloud Professional Cloud Architect • Google Cloud Associate Cloud Engineer • Databricks Lakehouse Fundamentals • dbt Fundamentals

Let’s Connect

I’m always interested in discussing:

  • Production GenAI and RAG system architecture
  • Enterprise data platform modernization
  • Cloud migration strategies and multi-cloud integration
  • Building high-performing data and AI teams

Interested in detailed case studies? Check out my Projects page. For technical deep dives, visit my Blog.