The Team

PhoenixCore did not begin as a business plan. It began as a conviction.

A conviction that autonomy should not collapse when GPS fades. That aerial systems must think, adapt, and respond — not just follow commands.

At PhoenixCore, we are not just building drones. We are building decision-making machines for environments where reliability is non-negotiable and uncertainty is constant. Every system is shaped by real-world testing, long iterations in the field, and an uncompromising standard for performance.

Our team of robotics engineers, autonomy researchers, and system designers share a common belief: intelligence must be embedded at the core. It must be designed, tested, and earned — not assumed.

We build deliberately.
We question deeply.
We refine relentlessly.

Because in mission-critical environments, there is no room for hesitation.

We build with precision.
We test with discipline.
We deploy with purpose.

Niket Shah

Founder & Systems Architect

Robotics engineer building autonomous aerial systems for GPS-denied and mission-critical environments. His work focuses on control systems, multi-sensor fusion, embedded intelligence, and field-proven drone autonomy engineered to perform where conventional systems fail.

With a deep foundation in robotics and real-world system integration, Niket approaches autonomy as a discipline — not a feature. From flight control architecture to perception stack integration, every layer is designed with resilience, precision, and operational reliability at its core.

He believes autonomy must be earned in the field, not assumed in theory.

His philosophy is simple: If it cannot survive the field, it does not belong in the sky.

Shreyash Palande

Robotics Engineer / Controls &Autonomy Consultant

Robotics Engineer with 5+ years of experience in deploying autonomous systems, sensor fusion, and perception algorithms. Expertise in multi-sensor integration (LiDAR, Radar, Camera, INS), sensor fusion algorithms, mobile robot navigation and ROS/ROS2 development. Proven ability to deliver robust, production-ready certified solutions for complex robotic applications.

Siddhesh Rane

Advisor / Computer Vision &Autonomy Consultant

Computer vision and robotics engineer specializing in perception-driven autonomy. Built and optimized end-to-end systems spanning multi-camera calibration, Visual-Inertial Odometry, SLAM, Structure-from-Motion, and real-time 3D reconstruction.

Led development of large-scale volumetric capture pipeline integrating geometric vision with modern neural rendering method. Industry experience deploying resource-efficient VIO and 3D localization systems in C++ for real-world robotics platforms.

Strong foundation in geometric estimation, sensor fusion (LiDAR, camera, IMU), and production-grade C++ system architecture.