π¨βπ» Professional Summary
Dynamic and results-driven Process Engineer with over 5 years of cross-industry experience in process modeling, simulation, optimization, and digital twin development. Proven expertise in leveraging AI/ML, Python automation, and cloud-based deployment to deliver energy efficiency improvements, cost savings, and operational reliability for global clients in oil & gas, chemicals, desalination, and power sectors. Strong background in front-end and detailed engineering design, process safety, and techno-commercial project delivery. Passionate about sustainable engineering and digital transformation in process industries.
π Work Experience
Aleph Technologies Pte Ltd.
Process Modelling Engineer | Feb 2023 β Present | Singapore (Remote)
Evonik β Methionine Crystallization AI/ML Predictive Model (Germany/Singapore)
- Developed an AI/ML-based predictive monitoring system using historical DCS/SCADA data to forecast solid accumulation and vacuum loss in crystallizers, reducing unplanned shutdowns.
- Engineered a dual-rate accumulation model incorporating pressure spikes, enthalpy changes, and flow dynamics to differentiate between normal and aggravated fouling regimes.
- Introduced an Accumulation Index (AI) for real-time risk scoring, enabling proactive flushing alerts and reducing operator response time by 40%.
- Collaborated with plant operations to validate model accuracy and integrate alerts into existing control room dashboards.
ACWA Power β Desalination Plant Optimization (Saudi Arabia)
- Conducted data mining and preliminary analysis on DCS historian data to identify energy-saving opportunities across multiple RO desalination trains.
- Built digital process models to simulate and optimize specific energy consumption (kWh/mΒ³), presenting case studies with potential savings up to $407,000/year.
- Prepared a techno-commercial proposal including solution architecture, implementation roadmap, and ROI analysis for plant-wide optimization.
Vedanta Alumina Smelter β Fuel & Cooling Water Optimization (Odisha, India)
- Conducted preliminary energy assessment to identify optimization opportunities in fuel oil and cooling water consumption.
- Analyzed DCS data trends and calculated specific energy consumption (SEC) to establish performance baselines.
- Recommended optimized setpoints for air-to-hydrate and air-to-fuel ratios, achieving daily savings of $7,000 in fuel and $700 in cooling water.
- Prepared a techno-commercial proposal detailing project scope, methodology, timeline, and cost-benefit analysis.
SWANCOR β Condenser Feasibility & Optimization (Taiwan)
- Developed and refined digital twin models to investigate solvent loss issues in specialty chemical condensers.
- Analyzed TEMA sheets, P&IDs, and control system data to identify root causes of operational inefficiencies.
- Recommended optimized DCS setpoints that reduced vapor losses and improved condenser efficiency by 12β15%.
- Collaborated with SWANCORβs engineering team to validate model predictions and implement improvements.
ABG Hindalco β Alumina Calcination Fuel Optimization (Jharkhand, India)
- Performed particle size distribution analysis and process modeling to optimize Specific Thermal Energy of Calcination (STEC) while maintaining product quality.
- Developed custom DWSIM models using PFDs and DCS snapshots to identify optimal air-to-fuel and air-to-hydrate ratios.
- Delivered a techno-commercial proposal with detailed engineering recommendations, expected outcomes, and cost-benefit analysis.
GODREJ β Distillation Column Retrofit Optimization (Maharashtra, India)
- Created a digital twin of the FADP distillation column in DWSIM to diagnose throughput limitations and identify retrofit opportunities.
- Conducted on-site visits to gather operator insights and validate simulation assumptions, leading to a 10β15% increase in feed rate with minimal energy penalty.
- Deployed the optimized model on a cloud-based platform for real-time monitoring and scenario analysis.
TES-AMM β MVR Process Energy Optimization (Singapore)
- Analyzed SCADA data trends to pinpoint energy waste during startup operations in a Mechanical Vapor Recompression system.
- Built a detailed process model in DWSIM to simulate pumps, compressors, and heat exchangers, identifying key performance bottlenecks.
- Translated Chinese P&IDs into English and extracted pump curves from vendor documents to enhance model accuracy.
Aleph Tech Stack β Product Development & Features
- Contributed to the development of Alephβs digital twin platform, designing backend calculation modules for mixers, columns, reactors, and separators.
- Authored white papers on optimization of chillers, distillation columns, and gas-fired boilers using ALEPH CO-PILOT.
- Developed a PythonβDWSIM connector to enable batch simulation, automated data extraction, and parametric studies, reducing manual effort by 60%.
- Currently working on Carbon Emissions and Carbon Footprints calculator for Singapore, to forecast the reduction of carbon emissions by reducing the demands today.
- The basis of this project was taken as McKay-Carbon-Calculator and was modified according to Singapore needs and demands for
Cambridge cares
CCGT (Combined Cycle Gas Turbine Power Plant) | Team Size β 2 Members | Completed |
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Worked on a Combined Cycle Power Plant Simulation Case Study to optimize the steam flow to the turbines using the python connector.
AFZAR Consultants LLC
Process Engineer | Jan 2021 β Apr 2022
ADNOC Gas Processing β FEED & DED Engineering (Abu Dhabi, UAE)
- Delivered 25+ updated FEED P&IDs and defined isolation, vent/drain, and ESD philosophies for the Habshan-3 NGI compressor conversion project.
- Provided process support for instrumentation upgrades, revising 250+ P&IDs based on obsolescence reports and I/O lists for WOOD PLC.
- Participated in alarm rationalization workshops for ADNOC offshore facilities (NGTP, UZ, GPF).
BSS Technologies β Electro-Chlorination Plant Design
- Developed basic engineering package including PFDs, P&IDs, H&MB, line sizing, and equipment datasheets for seawater-based sodium hypochlorite generation.
- Performed hydraulic calculations and supported 3D modeling in AutoCAD 2020.
- Coordinated with vendors for pump curves and material specifications, ensuring design compliance with client requirements.
π οΈ Technical Skills
| Process Engineering |
Simulation & Digital Tools |
Programming & Automation |
Software & Platforms |
| PFD & P&ID Development |
DWSIM (Advanced) |
Python (Data Analysis, Automation) |
Aspen HYSYS, PRO-II |
| Line Sizing & Hydraulics |
Digital Twin Modelling |
DWSim-Python Connector |
HTRI, AFT Products |
| PSV Sizing (API 520) |
Cloud Deployment of Models |
Batch Simulation Scripts |
AutoCAD, Bluebeam Revu |
| SIL Verification, C&E Diagrams |
Static & Dynamic Simulation |
Jupyter Notebooks |
SMath Studio, Pipe-Net |
| HAZOP, Alarm Rationalization |
Korf Hydraulics |
Excel VBA, Macros |
MS Office Suite |
| Process Safety Philosophies |
PRO-II, HTRI Basics |
Git Version Control |
OneNote, SharePoint |
π GitHub Portfolio & Projects
- Process Simulation Repository β A collection of DWSIM models for distillation, reactors, heat exchangers, and energy systems used in client projects.
- Process Automation Repository β Python-based tools for automating simulations, data extraction, and parametric studies using the DWSim-Python connector.
- Python Practice Projects β Scripts for data analysis, visualization, equipment curve fitting, and workflow automation in process engineering contexts.
π Key Achievements
- β
Developed Singapore-specific McKay Carbon Calculator for NUS and investor use in emission forecasting.
- β
Delivered 200+ P&IDs, 39 C&E diagrams, and 39 Process Control Narratives for ExxonMobilβs refinery ESD upgrade.
- β
Created and deployed a cloud-based digital twin for GODREJβs FADP column, enabling real-time optimization.
- β
Won 2nd Prize in Gujarat Cleaner Production Centre competition for innovative waste management technology.
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| β
Qualified CII Industrial Proficiency Test (2020) |
Topper in Polymer Technology, MSU Baroda. |
π Education
- M.E. in Polymer Technology β Maharaja Sayajirao University, Baroda (First Class with Distinction, 70.1%)
- B.E. in Chemical Engineering β Gujarat Technological University (CGPA: 8.86/10)
- Higher Secondary Certificate β Baroda Public School (64.8%)
- Secondary School Certificate β Shree Ambe Vidhyalaya (88.4%)
π¬ Letβs Connect