Anubhav Choudhary

About Anubhav Choudhary

CFD Engineer specializing in thermal management, fluid dynamics, and powertrain systems, with hands-on expertise in STAR-CCM+, ANSYS Fluent, Simerics, and Python. I combine AI/ML with CFD to accelerate simulations, shorten design cycles, and deliver data-driven engineering insightsAt Tata Consultancy Services, I’ve led advanced CFD simulations for pumps, rotors, stators, turbochargers, and cooling systems, achieving measurable results — including a 22% increase in heat transfer coefficient and a 10°C reduction in rotor temperature. I also developed ML-based surrogate models for centrifugal pumps, reducing design time by 30% while maintaining over 90% prediction accuracy.My technical expertise includes STAR-CCM+, ANSYS Fluent, Simerics, Siemens NX, CATIA, SolidWorks, and Python (NumPy, Pandas, Scikit-learn, Matplotlib) — enabling me to deliver solutions that are both physics-based and data-driven.I hold an M.Tech from NIT Rourkela and a B.E. in Mechanical Engineering from UIET Hoshiarpur, with research and projects focused on thermal systems optimization, fluid mechanics, and product design.I’m currently serving my notice period and open to opportunities where I can contribute to advanced thermal-fluid simulation, CFD process automation, and multidisciplinary design optimization across automotive, EV, aerospace, or energy domains.

Experience

1. Assistant System Engineer (Cfd Analyst)

   Tata Consultancy Services

   Sep 2023 — Present · Bengaluru, IN

   As part of the Powertrain Unit, I specialize in CFD and thermal management simulations to enhance the performance and reliability of automotive systemsKey Contributions- Conducted CFD simulations of pumps, rotors, stators, and cooling systems, improving overall thermal efficiency and reliability- Achieved a 22% improvement in heat transfer coefficient (HTC) of the stator by optimizing flow and geometry- Optimized rotor coolant flow, reducing maximum rotor temperature by 10°C and enhancing motor durability- Performed CHT analysis of turbocharger assemblies (compressor, turbine, shaft, bearings, oil & coolant flow) to identify risks of coolant boiling and oil coking- Developed an AI/ML surrogate model for centrifugal pump design (Python, Scikit-learn), reducing design cycle time by 30% with 92% prediction accuracy- Collaborated with cross-functional teams to translate simulation insights into design improvements for noise reduction and cooling performance.

Education

• Uieth Panjab University

  Bachelor of Engineering, Mechanical Engineering

  2015 — 2019

• National Institute of Technology Rourkela

  Mtech, Industrial Design

  2021 — 2023