Predictive Maintenance & Digital Twin
Designed IoT + digital-twin + ML predictive-maintenance solution across multi-site plants. Integrated PLCs, edge telemetry, and cloud analytics with maintenance orchestration system.
I take ambiguous AI possibilities and convert them into structured, governable, ROI-driven enterprise systems.
Enterprise AI Strategy • Agentic Systems • COE Building • AI OS Design
PROFILE.SYS
I operate at the intersection of business strategy, AI systems architecture, and enterprise execution. Not a pure engineer. Not a pure consultant. A translator of advanced technology into business outcomes.
> I work upstream of implementation — defining what should be built, why, how it scales, and how value is measured.
> I ask why before how. I design for scale, not demos.
> I challenge vague AI ideas. I value clarity, ownership, and metrics.
/// VERIFIED_METRICS
// What I bring to the table — upstream of implementation
@ NETWORK SCIENCE — NSOffice.ai
@ NETWORK SCIENCE
@ DELL TECHNOLOGIES
A unified enterprise AI workspace I conceived and architected — where employees interact with multiple AI models, search across all internal systems, and trigger domain-specific agents to execute workflows end-to-end.
// Enterprise engagements — real outcomes, not demos
Designed IoT + digital-twin + ML predictive-maintenance solution across multi-site plants. Integrated PLCs, edge telemetry, and cloud analytics with maintenance orchestration system.
Rolled out OCR + NLP pipelines for multi-language document capture and enterprise pharmacovigilance ingestion & triage system with automated ICSR mapping and SLA monitoring.
Implemented RAG-powered proposal automation platform with Copilot-driven authoring, knowledge base embeddings, and automated checklists. Delivered CAIO playbooks for leadership.
Designed enterprise analytics + AI operating layer unifying MES, SCADA, ERP, and quality data. Built yield variance analysis, quality prediction, and energy optimization across plants.
Bridged business, product, and AI teams to operationalize GenAI at scale. Architected central GenAI platform with multi-LLM support, RAG, and Responsible AI framework.
Designed end-to-end product provenance solution combining RFID/QR capture, IoT cold-chain telemetry, permissioned ledger for auditability, and consumer-facing verification portal.
"AI adoption fails not because of models — but because of poor problem framing, no ownership, and no metrics."
"AI must map to business KPIs. Every use case needs a value hypothesis before a single line of code."
"Agentic systems outperform prompt hacks. Governance must be designed before scale."
"Memory, orchestration, and integration matter more than models. AI is an operating layer, not a tool."
"AI ≠ Chatbots. The real value lives in structured, governed, enterprise-scale operating systems."
"I prefer frameworks over tools. I design for production, not demos. Clarity, ownership, and metrics — always."
SDA Bocconi School of Management, Italy
Class of 2024
IISER, India
Class of 2022
Thesis: Building Information Classification Using Google Street View Images (CNN-based model for urban analytics)
Sri Chaitanya Junior College
2018
Dr KKR High School, India
2016
I work with enterprises ready to move from AI hype to AI operating systems. If you're a CIO, CTO, or Head of Digital looking for a strategic AI partner — let's connect.