VD

Process Engineer · 6+ Years · Vadodara, India

Viraj Desai

Process Simulation & Digital Twin Engineer

I started out drawing P&IDs for gas-processing plants. Then I learned to simulate them, and now I build the systems that teach software to read the drawings. Six years across oil & gas, specialty chemicals, desalination and power — turning plant data into decisions that measurably cut energy and cost.

925+ P&IDs delivered
or digitised
$407K Annual savings
identified
12 Global operators
& clients
116 GitHub stars
earned

Operators & clients I’ve delivered for

  • ExxonMobil
  • Shell
  • Chevron
  • Phillips 66
  • ADNOC
  • Evonik
  • ACWA Power
  • Vedanta
  • Godrej
  • SWANCOR
  • TES-AMM
  • Cambridge CARES

01 / Trajectory

The story so far

From drawing P&IDs by hand, to simulating the plant, to teaching software to read the drawing.

  1. – Vadodara, IN

    AFZAR Consultants

    Drawing the plant

    FEED and detailed design for ADNOC Gas Processing’s Habshan 3 NGI compressor conversion — isolation, vent/drain and ESD philosophies, plus a full basic engineering package for a seawater electro-chlorination plant. This is where I learned how a plant is actually put on paper.

    275+ P&IDs issued or revised

  2. – Vadodara, IN

    L&T Technology Services

    Making it safe

    ESD migration for ExxonMobil’s Baton Rouge refinery — replacing decade-old pneumatic relay systems across 39 fire heaters, with SIL verification to API 560 and a Global Management of Change package per furnace. This is where design met consequence.

    39 fire heaters migrated off pneumatic ESD

  3. – Singapore

    Aleph Technologies

    Simulating the plant

    Digital twins and AI/ML predictive models across seven countries — crystalliser fouling prediction for Evonik, RO desalination energy optimisation for ACWA Power, a cloud-deployed distillation twin for Godrej. This is where I learned to turn historian data into a decision.

    $407K/yr identified · 12–15% efficiency gain

  4. –Present Dallas, TX

    Cerebre

    Teaching software to read the plant

    Converting engineering drawings into structured knowledge graphs at refinery scale, and feeding domain expertise back into the ML models and RAG pipelines that do the reading. The drawings I used to produce are now the training data.

    450+ diagrams digitised into Plant Graph

02 / Experience

Where the work happened

Four roles, reverse-chronological, with the projects that mattered under each.

Cerebre

P&ID Solutions Engineer – Present Dallas, Texas, USA · Remote

Lead triage, diagram solving in Studio Pro, quality assurance and regex development across multiple client sites (ExxonMobil, Chevron, Shell), while contributing process-domain expertise to object-detection model development.

Phillips 66 — Humber Refinery England

P&ID Solutions Engineer · Team of 20 · Completed

  • Digitised 450+ P&ID diagrams, from kickoff and scope alignment through triage, solving, QA and final ingestion into Plant Graph.
  • Led triage activities and tracked issues via JIRA so diagrams were review-ready before solving began.
  • Tagged equipment symbols to taxonomy standards, then mapped lines, asset connections and flow relationships into accurate knowledge graphs.
  • Ran QA reviews and Health Checks on solved diagrams, applying client-specific solving conventions consistently across the full set.

ExxonMobil Sustainment Sarnia & Nanticoke, Canada · Rotterdam, Netherlands

Sustainment Solver/Engineer · Teams of 10 / 15 / 18 · Completed

  • Analysed client-side revision changes across multiple sustainment cycles, ensuring updates landed in Plant Graph without breaking existing data.
  • Flagged rendering, drafting and data anomalies to the triage lead ahead of team execution, improving downstream solving accuracy.
  • Performed UUID mapping of post-solve data enrichments to prevent integration failures.
  • Generated final Health Check reports and raised JIRA tickets for rectification, closing the quality loop across all three sites.

ML Team — Object Detection Internal

Domain SME · Team of 18 · Completed

  • Worked with the ML team to train and fine-tune models for identifying P&ID symbols and lines, adapting LLM prompts per client site.
  • Refined a text-association algorithm keying on both asset location and regex pattern matching, improving association accuracy.
  • Built train/test/validation splits for every ExxonMobil site from site-specific complexity reports.
More from this role

StudioPro Performance Center Internal

SME / Reviewer · Team of 3 · Completed

  • Led Solving Guidance cleanup for ExxonMobil to improve the accuracy of data feeding the RAG pipeline.
  • Ran validation checks confirming retrieved outputs stayed consistent with the original source.
  • Contributed to query engine optimisation by benchmarking results against ground-truth data.

Platform & client enablement

Ongoing

  • Triaged .dwg drawings to verify correct rendering in Studio Pro and escalated technical issues to development.
  • Developed regex rules for ExxonMobil, Chevron and Shell to standardise tag recognition and improve extraction accuracy.
  • Contributed feature ideation for Studio Pro and Plant Graph, and supported client onboarding on digital P&ID workflows.

Aleph Technologies Pte Ltd.

Process Modelling Engineer – Singapore · Remote

Built digital twins, AI/ML predictive models and techno-commercial proposals for industrial clients across Germany, Saudi Arabia, India, Taiwan and Singapore — alongside backend development on Aleph’s own platform.

Evonik — Methionine Crystallisation AI/ML Model Germany / Singapore

  • Developed an AI/ML predictive monitoring system on historical DCS/SCADA data to forecast solid accumulation and vacuum loss in crystallisers, reducing unplanned shutdowns.
  • Engineered a dual-rate accumulation model using pressure spikes, enthalpy changes and flow dynamics to separate normal from aggravated fouling regimes.
  • Introduced an Accumulation Index for real-time risk scoring, enabling proactive flushing alerts and cutting operator response time by 40%.
  • Validated model accuracy with plant operations and integrated alerts into existing control-room dashboards.

ACWA Power — Desalination Plant Optimisation Saudi Arabia

  • Mined DCS historian data to identify energy-saving opportunities across multiple RO desalination trains.
  • Built digital process models to simulate and optimise specific energy consumption (kWh/m³), presenting case studies worth up to $407,000/year in potential savings.
  • Prepared the techno-commercial proposal: solution architecture, implementation roadmap and ROI analysis.

Godrej — Distillation Column Retrofit Maharashtra, India

  • Created a digital twin of the FADP distillation column in DWSIM to diagnose throughput limits and find retrofit opportunities.
  • Ran on-site visits to gather operator insight and validate simulation assumptions, leading to a 10–15% feed-rate increase with minimal energy penalty.
  • Deployed the optimised model to a cloud platform for real-time monitoring and scenario analysis.
Five more projects from this role

SWANCOR — Condenser Feasibility & Optimisation Taiwan

  • Built and refined digital twin models to investigate solvent loss in specialty chemical condensers.
  • Analysed TEMA sheets, P&IDs and control system data to root-cause operational inefficiencies.
  • Recommended optimised DCS setpoints that reduced vapour losses and improved condenser efficiency by 12–15%.

Vedanta Alumina Smelter — Fuel & Cooling Water Odisha, India

  • Ran a preliminary energy assessment on fuel oil and cooling water consumption, establishing SEC performance baselines from DCS trends.
  • Recommended optimised air-to-hydrate and air-to-fuel ratios achieving $7,000/day in fuel and $700/day in cooling water savings.

ABG Hindalco — Alumina Calcination Fuel Optimisation Jharkhand, India

  • Performed particle size distribution analysis and process modelling to optimise Specific Thermal Energy of Calcination (STEC) while holding product quality.
  • Developed custom DWSIM models from PFDs and DCS snapshots to find optimal air-to-fuel and air-to-hydrate ratios.

TES-AMM — MVR Process Energy Optimisation Singapore

  • Analysed SCADA trends to pinpoint energy waste during startup of a Mechanical Vapour Recompression system.
  • Built a detailed DWSIM model of pumps, compressors and heat exchangers to locate performance bottlenecks.
  • Translated Chinese P&IDs to English and extracted pump curves from vendor documents to improve model fidelity.

Aleph Tech Stack — Product Development

  • Designed backend calculation modules for mixers, columns, reactors and separators in Aleph’s digital twin platform.
  • Authored white papers on optimisation of chillers, distillation columns and gas-fired boilers using ALEPH CO-PILOT.
  • Built a Python–DWSIM connector for batch simulation, automated data extraction and parametric studies — cutting manual effort by 60%.
  • Developed a Singapore-specific carbon emissions calculator for Cambridge CARES, adapted from the MacKay Carbon Calculator; and a CCGT power plant case study optimising steam flow to turbines via the Python connector.

Larsen & Toubro Technology Services

Process Engineer – Vadodara, India · On-site

Engineering design and safety validation for refining and energy, centred on ESD migration and SIL verification to global standards.

ExxonMobil Baton Rouge Refinery — ESD Migration Louisiana, USA

Detailed Engineering Design · Team of 4 · Completed

  • Executed ESD migration for 39 fire heaters, replacing decade-old pneumatic relay systems and reducing frequent trip incidents.
  • Updated 200+ P&IDs, 39 Safety Critical Device lists, Cause & Effect diagrams and Process Control Narratives for the construction phase.
  • Prepared Global Management of Change packages per furnace and coordinated IDC/ITR/approval workflow through WRENCH.
  • Facilitated SIL vendor meetings and used exSILentia reports for SIS validation to API 560.

AFZAR Consultants LLC

Process Engineer – Vadodara, India · Remote

ADNOC Gas Processing — FEED & DED Abu Dhabi, UAE

  • Delivered 25+ updated FEED P&IDs and defined isolation, vent/drain and ESD philosophies for the Habshan-3 NGI compressor conversion.
  • Provided process support for instrumentation upgrades, revising 250+ P&IDs from obsolescence reports and I/O lists for WOOD PLC.
  • Participated in alarm rationalisation workshops for ADNOC offshore facilities (NGTP, UZ, GPF).

BSS Technologies — Electro-Chlorination Plant Design

  • Developed the basic engineering package — PFDs, P&IDs, H&MB, line sizing and equipment datasheets for seawater-based sodium hypochlorite generation.
  • Performed hydraulic calculations and supported 3D modelling in AutoCAD 2020.
  • Coordinated with vendors on pump curves and material specifications to ensure design compliance.

03 / Open source

Selected work on GitHub

Public repositories on process simulation, automation and control — the reference material behind a lot of my client modelling.

  • DWSIM Simulation Library

    Worked open-source simulation cases — distillation, reactors, heat exchangers and energy systems. The reference set behind most of my client modelling.

    • DWSIM
    • Simulation
    • Unit Ops

    HTML 51

  • DWSIM Python Automation

    The Python–DWSIM connector: batch simulation, automated data extraction and parametric studies. Cut manual modelling effort by roughly 60%.

    • Python
    • Automation
    • Parametric

    HTML 31

  • OpenPLC Control Tutorials

    Step-by-step tutorials and code samples for open-source PLC programming — the controls side of the ESD and safety work.

    • PLC
    • Controls
    • Ladder Logic

    C 13

  • Python for Chemical Engineers

    Jupyter notebooks on data analysis, visualisation, equipment curve fitting and workflow automation in a process engineering context.

    • Jupyter
    • Data Analysis
    • Curve Fitting

    Jupyter Notebook 9

  • IDAES Process Optimisation

    Equation-oriented flowsheet optimisation worked through the US DOE’s IDAES process systems engineering framework.

    • IDAES
    • Pyomo
    • Optimisation

    Jupyter Notebook 7

  • RAG Pipeline Prototype

    Retrieval-augmented generation over technical documents — the experiment behind the StudioPro Performance Center query work.

    • LLM
    • RAG
    • Retrieval

    Python 3

  • DWSIM × NEQSim

    Coupling DWSIM flowsheets to NEQSim thermodynamics for better property accuracy on gas-processing problems.

    • Thermodynamics
    • Gas Processing

    Jupyter Notebook 0

  • OpenFOAM CFD Tutorials

    CFD case setups for flow and mixing problems, built up from the OpenFOAM tutorial structure.

    • CFD
    • OpenFOAM
    • Meshing

    C++ 0

All repositories Star counts refresh from the GitHub API on load.

04 / Capabilities

What I work with

Grouped by what I reach for, with an honest read on how often. Marks without a logo simply don’t have one — most process-engineering software never shipped a brand asset.

  • Simulation & Modelling

    • DWSIMDaily
    • Aspen HYSYSAdvanced
    • PRO-IIWorking
    • HTRIWorking
    • OpenFOAMWorking
    • OpenModelicaWorking
  • P&ID & Digitisation

    • Studio ProDaily
    • Plant GraphDaily
    • AutoCADAdvanced
    • Bluebeam RevuAdvanced
    • JIRADaily
  • Programming & Data

    • PythonDaily
    • JupyterDaily
    • GitDaily
    • pandasAdvanced
    • NumPyAdvanced
    • JuliaWorking
  • Calculation & Safety

    • exSILentiaAdvanced
    • SMath StudioAdvanced
    • Korf HydraulicsAdvanced
    • AFT productsWorking
    • Pipe-NetWorking
  • Delivery & Docs

    • Excel & VBADaily
    • SharePointWorking
    • WRENCHWorking
    • GitHubDaily
    • AnacondaWorking

05 / Recognition

Achievements & education

Key achievements

  • Supported P&ID digitisation of 450+ diagrams for Phillips 66’s Humber Refinery, from triage through Plant Graph ingestion.
  • Delivered 200+ P&IDs, 39 C&E diagrams and 39 Process Control Narratives for ExxonMobil’s refinery ESD upgrade.
  • Built a Singapore-specific MacKay Carbon Calculator for Cambridge CARES, used in emission forecasting.
  • Created and deployed a cloud-based digital twin for Godrej’s FADP column, enabling real-time optimisation.
  • Won 2nd Prize at the Gujarat Cleaner Production Centre competition for innovative waste management technology.
  • Qualified the CII Industrial Proficiency Test (2020); topper in Polymer Technology, MSU Baroda.

Education

  • M.E. Polymer Technology Maharaja Sayajirao University, Baroda First Class with Distinction · 70.1%
  • B.E. Chemical Engineering Gujarat Technological University CGPA 8.86 / 10

06 / Contact

Let’s talk

Open to process simulation, digital twin and industrial-AI roles. Email is the fastest way to reach me.