YOGESH E S
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Architecting production-grade visual navigation, multi-agent boids swarms, and failsafe avionics for commercial and defense UAV platforms. Elevating mathematics to real-time embedded flight.
SYSTEM_ARCHITECT.EXE
UAV Systems Engineer
I operate at the precise intersection of aerospace engineering, computer vision, and real-time embedded systems. My engineering philosophy is built on absolute robustness: if code can fail in flight, it must failsafe gracefully.
My expertise encompasses the entire autonomous UAV lifecycle. From designing custom high-frequency flight controllers on ESP32-S3, to writing multi-state safety supervisions over Micro-XRCE-DDS. I implement decentralized spatial grid-merging in ROS 2, and engineer Visual-Inertial Odometry state estimators for GPS-denied tactical operations.
CFD WIND TUNNEL & HUD CONSOLE
Real-time aerodynamic coefficient solver. Adjust parameters to verify laminar/turbulent boundaries and structural load distributions.
TELEMETRY & COMMAND PANEL
FLAGSHIP AUTONOMY DECK
Real code. Real math. Real simulations. Click to inspect live on GitHub.
A complete aerospace systems lifecycle combining advanced computational fluid dynamics (CFD) and structural analysis with deep learning and real-time reinforcement learning flight control.
Constructed a 3.0m wingspan HALE UAV in OpenVSP. Certified the load factor using CalculiX/PrePoMax FEA and validated aerodynamic L/D bounds with OpenFOAM CFD solvers.
Engineered an MLP Neural Network to programmatically optimize airfoil geometries (+12% lift efficiency). Implemented an attitude controller using reinforcement learning interfacing MAVLink flight stacks.
Project-TRINITY
Decentralized, multi-agent boids coordination engine. Features isolated ROS 2 namespaces, collaborative grid-merging, and RViz 3D tracking.
Project-ODYSSEY
ES-EKF VIO state estimator and real-time Octomap 3D voxel grid mapping for autonomous navigation in complex, GPS-denied environments.
AEGIS Trinity Stack
Containerized framework featuring 50Hz diagnostic supervisions, priority-state failsafes, and live Gazebo battery crash/RTL simulations.
Project-ARGUS
Structural integrity auditing using Paris-Erdogan Law fatigue estimators, repair stress patch FEA, and hangar CPM schedule optimization.
SkyLink-Commander
Web-based Ground Control Station on Raspberry Pi 4. Streams 50Hz telemetry and command decks from APM 2.8 via MAVLink over WebSockets.
AeroCore-S3
A ground-up custom ESP32-S3 flight controller ported for ArduPilot autonomy, featuring custom SPI/I2C peripheral bus mappings, and EKF3 navigation.
GNC & AERODYNAMIC STACKS
Rigorous mathematical modeling, state estimation, and aerodynamic analysis implemented in MATLAB. Click to open interactive telemetry & mathematical bounds.
3D Quadcopter LQR Simulator
Nonlinear 6-DOF drone dynamics simulator. Utilizes state-space models and LQR control to track trajectory vectors under motor speed saturation.
EKF Drone Sensor Fusion
6-state Extended Kalman Filter fusing IMU/magnetometer. Calibrates MEMS gyro bias and features 3σ covariance verification bounds.
Fixed-Wing Autopilot & SAS
Longitudinal flight dynamics stack with rates-damping pitch SAS inner loops and cascaded outer loops for wind gust rejection.
2D Airfoil Vortex Panel Solver
Aerodynamic BEM solver utilizing the Linear-Strength Vortex Panel Method to compute pressure profiles ($C_p$) and lift curves.
ENGINEERING MATRIX
Autonomy & Middleware
- ROS 2 (Humble/Jazzy)95%
- Micro-XRCE-DDS90%
- Zenoh Routing85%
- MAVLink Protocol92%
Hardware & Embedded
- ESP32-S3 (C++)95%
- STM32 / ARM Cortex88%
- PX4 / APM Avionics92%
- I2C, SPI, UART95%
Physics & Simulation
- Gazebo Harmonic95%
- CalculiX / FEA80%
- Paris Law Modeling85%
- OpenVSP CAD85%
Vision & Edge AI
- YOLOv8 / Inference90%
- ORB-SLAM388%
- OpenCV / PCL92%
- PyTorch Edge82%
COMMUNICATION LINK
Engineering managers and founders: Bypass the portal. Connect directly.
Subject: UAV Systems Engineer Application - Yogesh E S
Hi Team,
I am a UAV Systems Engineer specializing in modern UAV autonomy middleware integration, custom ESP32-S3 flight controller architecture, and PX4 SITL failsafe designs. I've reviewed your robotics stack and wanted to reach out directly.
You can inspect my running Gazebo simulation flight videos, complete ROS 2 modular code, and mathematical models directly on my GitHub: https://github.com/yogesh031020.
I would love to discuss how I can architect these systems for your team.