Aerospace CAD & Simulation Portfolio
Engineering the future with advanced modeling, CFD, and AI/ML workflows.
Selected professional, academic, and robotics work across UAV systems, rocketry, hydrodynamics, CFD, AI navigation, embedded sensing, and mechanical CAD.
Intro video first, followed by a visual gallery of UAV CAD, simulation, and onboard autonomy work.
Research and institutional work from NIOT, DRDO, NAL, undergraduate projects, and postgraduate thesis phases.
Studied adaptive winglet configurations for improved flight performance using CAD geometry, angle-of-attack sweeps, pressure contours, velocity contours, and comparative CFD results.
Performed CFD analysis of NASA's Common Research Model at cruise conditions, including meshing, solver setup, drag prediction, and stability interpretation against reference data.
Designed and validated an Autonomous Underwater Vehicle concept using CATIA/SolidWorks-style geometry and ANSYS Fluent pressure, velocity, pathline, pitch, and yaw studies.
Developed deep-learning navigation workflows for autonomous UAV operation in unknown trail environments, combining vision models, onboard compute, and PX4/SITL validation.
Built and evaluated machine-learning control approaches for UAV navigation and attitude behavior, including multi-layer neural networks, ArduPilot SITL, JSBSim, and MAVProxy workflows.
Professional robotics design and product-development work from Graviton projects, including UV disinfection robots, mobile trolley systems, and warehouse automation concepts.
Professional mobile UV robot concept with SolidWorks render studies, power-supply packaging, display integration, mecanum-wheel references, and product visualization assets.
Designed a UV trolley product package with base frame, covers, castor assemblies, lamp mounts, handle geometry, manufacturing references, and high-resolution render iterations.
Developed warehouse robot concepts using CAD assemblies, wheel and castor modules, lifting/jack mechanisms, bevel-drive references, and automation patent research.
Compiled and modeled UV airline bot components, including UV lamp modules, waterproof controls, telescopic/linear hardware references, and enclosure part development.
I am an experienced aerospace engineering professional with a deep concentration on integrating Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence. My expertise spans advanced CAD engineering, CFD simulations, and developing robust AI systems for automation and BVLOS operations.
Driven by an analytical mindset, I specialize in translating complex technical requirements into optimized simulation workflows and proprietary intelligence systems, bridging the gap between frontier aerospace research and scalable deployment.
Equipped to validate designs and optimize components using industry-standard tools and advanced computing paradigms.
Leading engineering teams for Project Stardust (solid propellant) and Project Firefly (liquid propellant). Managing electronics architecture and system integration for independent aerospace missions.
Focused on integrating UAVs and AI for automation. Developed Beyond Visual Line of Sight (BVLOS) operations utilizing long-range radios, mobile networks, and IoT infrastructures.
Advocated and developed advanced computational models, representing Intel's AI and compute technologies within the academic community.
Developed vision-based navigation for autonomous UAVs using Deep Neural Networks (DNN) in GPS-denied environments. Trained models for autonomous forest trail navigation.
Designed an Autonomous Underwater Vehicle (AUV). Conducted rigorous testing and validation of the design using Computational Fluid Dynamics (CFD) simulation tools.
Conducted an academic project in the CTFD (Computational and Theoretical Fluid Dynamics) division. Utilized computational tools to calculate drag on NASA's Common Research Model (CRM) and validated results with experimental data.
Master of Engineering (M.Eng.), Mechatronics, Robotics, and Automation
Bachelor of Engineering (B.E.), Aeronautical Engineering
Variable Cant Angle Adaptive Winglets for Improved Flight Performance