Aniket K.

Multiphysics simulation engineer: 7 years at Ansys, MSc in CFD from Cranfield, 3 granted US patents in thermal modelling. I deliver CFD, thermal and FEA studies with mesh-independence evidence and a plain statement of what wasn't tested. I come from an industrial CAE background, and I have also trained machine learning models and deployed AI solutions at scale, so I work on both sides: the simulation and the AI built on top of it. CAE tools 1. Geometry cleanup: Solid Edge, NX, SolidWorks, SpaceClaim, Salome 2. Meshing: Fluent Meshing, snappyHexMesh, cfMesh, Salome 3. Solver setup: OpenFOAM, Ansys Fluent, STAR-CCM+ 4. Solving and post-processing: Ansys, ParaView Problems I work on 1. Conjugate heat transfer and electronics cooling 2. Buoyancy-driven flow, multiphase, rotating machinery (MRF), FSI 3. Multiphysics: thermal and thermo-structural analysis 4. Grid-independence studies in OpenFOAM, SU2, Fluent and Icepak AI-assisted CAE 1. Surrogate models for engineering: neural operators, PINNs, reduced-order models 2. Multi-fidelity co-Kriging that blends many cheap coarse runs with a few expensive fine ones 3. Agentic AI for CAE: end-to-end simulation workflow automation General-purpose AI (15+ GenAI systems shipped to production) 1. AI agents 2. Voicebots 3. Custom AI: information extraction and evaluation harnesses 4. Conversational AI Machine learning models I have trained 1. A BERT PII classifier at 95 percent test accuracy 2. Battery health prediction 3. Demand forecasting Based in Pune, India (IST). Happy to work under NDA.