• Mesh geometry optimization to improve scene performance and visual quality.• Mesh normals correction through ray casting to ensure accurate lighting and shading in Unreal Engine.• Unreal Engine plugins development and updating geometric data within the core Unreal Engine framework.• Mesh simplification to enhance frame rates and overall scene efficiency in Unreal Engine.

• Implemented mesh normals correction through ray casting to ensure accurate lighting and shading.• Developed Unreal Engine plugin and updated geometric data within the core Unreal Engine framework.

Research project focused on the automated generation of high-quality quadrilateral meshes directly from triangle meshes:• Developing methods for structure simplification to enhance mesh quality.• Implementing automated, parallelized connectivity operations to streamline the meshing process.Conducting extensive research and experimentation to refine and validate the mesh generation techniques for Finite Element Method (FEM) simulations.• Preparing the findings for submission to a peer-reviewed research publication.Keywords: FEM, Finite Element Method, simulations, meshing, quadrilateral meshes, triangle meshes, automated mesh generation, structure simplification, parallelized connectivity operations, research publication.

Freelance project focused on the generation of high-quality tetrahedral meshes for Finite Element Analysis (FEA). My responsibilities include:• Improving the quality of surface meshes to ensure optimal conditions for subsequent volumetric mesh generation.• Utilizing advanced meshing techniques and tools to create robust, high-quality tetrahedral meshes.Collaborating with clients to understand project requirements and deliver solutions that meet their specific needs.• Continuously refining mesh generation processes to enhance performance and accuracy in FEA applications.

• Hands on experience developing an end-to-end application for automated generation of 2D and 3D Quadrilateral meshes for use in CAD, FEM and numerical simulation applications.• Hands on experience developing 3D visualization tool to visualize structure of hexahedral meshes to study their properties suitable for simulations.• Built plugins in Python for Paraview and Blender to visualize the structure of 100+ 2D and 3D meshes and proposed operations to optimize the mesh structure.• Implemented automated framework for generation of Quadrilateral meshes using C++, OpenGL, VTK and CGAL.• Employed efficient 3D data structure and multithreaded scheduler to perform proposed novel operations on 2D and 3D meshes and achieved up to 99.99% optimization in the structure of input meshes.• Engineered a parallel geometry processing algorithm using C++ to optimize the geometry of 2D and 3D models and attained a 40% increase in quality of meshes resulting in published research.• Developed the 3D visualization tool using C++, OpenGL and QT and successfully visualized structure of 50+ hexahedral meshes and reported findings in research publication.

• Hands on experience collaborating with a team of 10+ engineers and researchers to generate high resolution 3D human brain model for medical research using Machine Learning and Computer Graphics algorithms.• Hands on experience optimizing human brain mesh model for Level of Detail rendering in a 3D visualization application.• Formulated an optimization function to generate 4 tier hierarchical meshes of human brain model via cost minimization using Python, VTK and OpenGL.• Slashed web page load time by 60% through Level of Detail rendering of optimized meshes in the web based visualization application programmed in React, Three.js and WebGL.

• Hands on experience implementing frontend, backend and DevOps for a large scale UI extensive graphics designing web application resulting in 50,000+ active users and 10,000+ sales monthly.• Proposed transition to TypeScript for frontend and optimized the page load and asset management time by 40% through augmented asset loading and efficient memory management with React and Angular.• Enhanced UI response time by 80% by dynamic data handling and implementing custom rendering features in Fabric.js.• Programmed the backend using Node, AWS (S3, Cloud Compute, Elastic Transcoder), REST APIs and PostgreSQL.• Built key DevOps components with Docker, Jenkins (CI/CD) and Git for automated deployment of web application to production environment and achieved 100% unit tests coverage.