Rohit Shinde About

About

Engineer. Researcher. Strategist.

One thread across three chapters: Process Physics, AI Systems, and Commercial Viability. The translation between them is the work.

Houston, TX 10+ yrs EPC consulting MBA, UT Austin (McCombs) AIChE Senior Member

01 Positioning

A decade of executing major EPC process designs taught me a standard most AI work never meets.

The failure mode

A design error doesn’t surface as a bug report. It surfaces as a catastrophic event.

The constraint

Every system I build starts from that constraint.

Working domains
UNIPOL™ Polyethylene AI in Process Engineering Piping & Instrumentation Diagrams (P&ID) Graph-RAG & Knowledge Graphs Process Safety & MOC

02 Three chapters, one thread

I translate between domains that don’t share a vocabulary.

Process Physics, AI Systems, and Commercial Viability. The translation is the work. These are its three chapters.

CH.01

The Engineer

Over a decade in EPC consulting across oil & gas and petrochemicals.

  • UNIPOL™ polyethylene and nitrogen systems for world-scale facilities
  • $80M+ in industrial assets delivered
  • Why my AI work starts from data governance and human-in-the-loop checkpoints, not from what a language model can generate
CH.02

The Researcher

Knowledge-graph architectures and Graph-RAG frameworks for EPC workflows.

  • Automated P&ID generation without surrendering engineer accountability
  • Published in Frontiers in Emerging Engineering & Technologies
  • Presented at the AIChE Spring 2026 Meeting
CH.03

The Strategist

From technical feasibility to techno-commercial viability.

  • MBA from the University of Texas at Austin (McCombs); engineering foundations from Lamar University
  • Is the pain big enough, and is there a real financial lever?
  • Does a working prototype show results even at small scale?

03 Biography

Houston is where the work happens.

Impact & Execution

A decade of EPC delivery.

10+ years of EPC consulting across petrochemicals and oil & gas.

10+Years EPC
$80M+Executed
Greenfield & Brownfield Systems UNIPOL™ Polyethylene
Engineering Foundations

Chemical engineering, twice over.

  • BS Chemical EngineeringVishwakarma Institute of Technology (VIT), Pune
  • MS Chemical EngineeringLamar University

AI work starts from process physics and data governance, not raw language models.

Commercial Strategy

The techno-commercial lens.

  • MBAUniversity of Texas at Austin · McCombs

Every initiative must clear three bars:

  • Solve a critical pain point
  • Offer a strong financial lever
  • Validate through a working prototype
Current Focus

Industrial AI, both domains at once.

A secure copilot for engineering work, never at the cost of safety or human-in-the-loop accountability.

Graph-RAG Frameworks Knowledge-Graph Architectures Automated P&ID Generation EPC Workflows

Building something that has to work in the physical world?

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