Vishwavasu Chobari

AI Consultant with 10+ years of experience designing and delivering AI/ML solutions that translate business problems into production-ready systems. I help organizations identify where AI creates real value, design the right models and architectures, and ensure solutions are scalable, governed, and operational.

My expertise spans AI/ML solutioning end-to-end: from problem framing and data readiness assessment to model selection, evaluation, deployment, and continuous improvement. I specialize in NLP, GenAI (LLMs), predictive modeling, and decision-support systems, with a strong focus on explainability, reliability, and business impact.

I work at the intersection of business strategy, data science, and engineering, enabling companies to move from experimentation to production-grade AI. This includes defining AI roadmaps, selecting appropriate modeling approaches, establishing data and model quality standards, and integrating AI into existing cloud and enterprise platforms.

My consulting focus is on AI solution design, AI governance, and production readiness, helping organizations avoid “POC traps” and build AI systems that actually scale.

Core Expertise:

- AI / ML Solutioning

- AI opportunity assessment & use-case prioritization

- End-to-end ML lifecycle design (data → model → deployment → monitoring)

- NLP, sentiment analysis, text intelligence, and GenAI (LLMs)

- Predictive modeling (classification, forecasting, risk & churn)

- Model evaluation, validation metrics, and business KPIs

- Responsible AI, explainability, and governance frameworks

- AI Architecture & Delivery

- Cloud-based AI systems (batch & near-real-time)

- Integration with enterprise platforms (ERP, MDM, analytics)

- Translating business goals into AI system designs

- Cross-functional alignment (data, engineering, compliance, product)

- Decision frameworks for AI trade-offs (accuracy vs explainability, cost vs latency)