Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
CAE Engineer with 2+ years in CFD, Heat Transfer & Multi-Physics Simulations
Mechanical and Thermal Engineer (M.Tech candidate) at IIT Ropar with robust expertise in CFD, heat and mass transfer, and multi-physics simulations using Ansys Fluent. Adept at modelling complex thermal-fluid interactions including porous media and reactive flows to identify optimal operating windows and drive design improvements. Demonstrated ability to quantify the impact of key design variables on system performance, reducing trial-and-error and accelerating scale-up decisions. Complementary proficiency in MATLAB/Simulink and Python for 1D system modelling, data analysis, and advanced control algorithms (LMPC/NMPC). Targeting R&D and thermal management roles where rigorous computational simulation and system optimisation are critical.
Indian Institute of Technology, Ropar
M.Tech · Thermal & Fluid Engineering
August 1, 2024 – June 30, 2026
G.B. Pant Institute of Engineering Technology
B.Tech · Mechanical Engineering
August 1, 2017 – June 30, 2021
Central Board of Secondary Education (CBSE)
Higher Secondary (XII)
June 1, 2014 – May 31, 2016
Central Board of Secondary Education (CBSE)
Secondary School (X)
June 1, 2012 – May 31, 2014
Indian Institute of Technology, Ropar
CAE Member – Research and Manufacturing Machine Lab (RMML)
January 1, 2024 – Present
Rupnagar, Punjab, India
Indian Institute of Technology, Ropar
Team Leader - Institute Cricket Club
January 1, 2024 – Present
Rupnagar, Punjab, India
Advanced Thermal Control System Design using MATLAB/Simulink
March 1, 2026 – June 1, 2026
Engineered and simulated Linear and Nonlinear Model Predictive Control (LMPC/NMPC) algorithms in MATLAB to optimise thermal setpoint tracking and disturbance rejection for an endothermic micro-reactor, outperforming classical PID across all tested scenarios. Executed state-space modelling, Jacobian linearisation, and discrete system stability analysis for a continuous-time nonlinear model, achieving a measurable reduction in thermal overshoot and improved long-term hardware protection. Conducted systematic sensitivity analysis across 6+ prediction horizon and weighting matrix configurations, producing quantified performance trade-off data to guide controller tuning for real-world deployment.
Thermal and Fluid Simulation of High-Temperature Catalytic Systems
January 1, 2024 – Present
Developed high-fidelity 3D multi-physics models in Ansys Fluent to simulate complex heat transfer, fluid flow, and species transport within porous media environments, enabling precise quantification of design variables on system thermal performance. Analysed highly nonlinear thermodynamic behaviours to establish optimal thermal operating windows (temperature, porosity, flow rate), directly informing scalable system design and safety protocols for hydrogen storage applications. Reduced the need for physical prototyping by validating simulation results against theoretical benchmarks, demonstrating at least 3 distinct operating regimes with measurably different hydrogen yield profiles. Quantified the thermodynamic and fluid-dynamic roles of inert gases (Ar, N2) via parametric CFD sweeps across 4+ gas configurations, producing actionable selection guidelines that prevent catalyst deactivation and improve system stability. Established thermal stability limits enabling efficient, repeatable hydrogen release, directly addressing a critical barrier to commercially scalable LOHC deployment.
Productivity Measurement of Reconfigurable Manufacturing Systems (RMS)
January 1, 2020 – January 1, 2021
Designed a conceptual RMS architecture with adjustable machine-level and software-level structure, enabling scalable adaptation to new product families without full system redesign. Developed a quantitative productivity framework for reconfigurable cells, establishing performance metrics under varying production demands and providing a replicable evaluation methodology.
Part Design and Assembly using SolidWorks
Unknown
January 1, 2020 – Present
Cultural Fit Analysis
The candidate's academic background and project diversity, particularly in thermal and fluid engineering, align well with a CAE Engineer role. Their involvement in a research lab and a leadership role in a club indicates a proactive and engaged approach, suggesting a good cultural fit for a dynamic and collaborative environment. The focus on hydrogen energy systems and advanced control systems shows a breadth of interest within the engineering domain.
Soft Skills & Operational Fit
The candidate demonstrates leadership skills through their role as Team Leader for the Institute Cricket Club, indicating an ability to manage teams, coordinate, and develop performance. This suggests good organizational and interpersonal skills. Collaboration is also evident from their CAE Member role, where they collaborated with researchers on computational modeling tasks. These soft skills are valuable for operational fit in a team-oriented engineering environment.