I am an AI Systems Engineer focused on building reliable multi-agent orchestration systems, policy enforcement pipelines, and explainable AI platforms. I work primarily with Python and agentic frameworks to create systems for intent classification, bias auditing, structured workflow routing, and autonomous agent governance. I also have a background in computer vision, edge inference, and UAV autonomy. I enjoy building practical end-to-end products, from real-time perception and autonomous flight systems to AI interview simulators, hiring platforms, and intelligent ground control stations.

Udbhaw Anand

I am an AI Systems Engineer focused on building reliable multi-agent orchestration systems, policy enforcement pipelines, and explainable AI platforms. I work primarily with Python and agentic frameworks to create systems for intent classification, bias auditing, structured workflow routing, and autonomous agent governance. I also have a background in computer vision, edge inference, and UAV autonomy. I enjoy building practical end-to-end products, from real-time perception and autonomous flight systems to AI interview simulators, hiring platforms, and intelligent ground control stations.

Available to hire

I am an AI Systems Engineer focused on building reliable multi-agent orchestration systems, policy enforcement pipelines, and explainable AI platforms. I work primarily with Python and agentic frameworks to create systems for intent classification, bias auditing, structured workflow routing, and autonomous agent governance.

I also have a background in computer vision, edge inference, and UAV autonomy. I enjoy building practical end-to-end products, from real-time perception and autonomous flight systems to AI interview simulators, hiring platforms, and intelligent ground control stations.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Work Experience

Computer Vision & UAV Autonomy Engineer at Archanion Engineering
November 1, 2025 - April 1, 2026
Engineered real-time YOLOv8 detection and tracking pipelines for UAV edge perception, achieving sub-100ms latency at over 30 FPS on Jetson-class hardware. Designed a modular perception-to-control pipeline covering sensor ingestion, detection, state estimation, and command generation, reducing manual operator intervention by approximately 70% and enabling model hot-swapping without changes to control logic. Integrated computer vision models with PX4 and MAVSDK for closed-loop autonomous flight, completing more than 20 software-in-the-loop missions with zero collisions and a 96% success rate.

Education

B.Tech in Computer Science (Artificial Intelligence) at ABESIT, Dr. A.P.J. Abdul Kalam Technical University
January 11, 2030 - May 1, 2027

Qualifications

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Industry Experience

Computers & Electronics, Software & Internet, Transportation & Logistics, Government, Education