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ABDULSAMATH GAG
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ABDULSAMATH G

@abdulsamathg

I build embedded AI systems for real-time automotive and industrial edge applications.

India
Message

What I'm looking for

I'm looking to build and deploy embedded AI, computer vision, and industrial edge solutions where I can work with real-time inference, hardware integration, model optimization, and production edge platforms.

At EinNel Technologies, I develop embedded AI software for driver monitoring systems on Qualcomm QCS6490 hardware, achieving 25 FPS real-time inference for eye-blink detection, gaze estimation, yawning detection, and driver distraction analysis.

I integrate ONNX deep learning models with Qualcomm NPUs and embedded Linux platforms, validating latency, model performance, camera hardware, and deployment readiness on edge devices.

I also build C/C++ and Python software for sensor streaming, hardware bring-up, embedded peripherals, backend APIs, and industrial communications using OPC UA, MQTT, and Modbus TCP.

My work spans predictive maintenance pipelines, Digital Twin platforms, synthetic data generation, and computer-vision deployment for automotive and industrial IoT applications.

Experience

Work history, roles, and key accomplishments

ET
Current

Associate Embedded Engineer

EinNel Technologies

Jul 2023 - Present (3 years 1 month)

Developed embedded software for a Driver Monitoring System achieving 25 FPS real-time inference on Qualcomm QCS6490 using ONNX Runtime. Integrated ONNX models on embedded hardware, performed model validation, and worked on hardware bring-up and industrial communication protocols.

Education

Degrees, certifications, and relevant coursework

Vels Institute of Science Technology and Advanced Studies logoVS

Vels Institute of Science Technology and Advanced Studies

Bachelor of Engineering, Electronics and Communication Engineering

2019 - 2023

Grade: 8.73/10

Bachelor of Engineering in Electronics and Communication Engineering with a CGPA of 8.73/10.

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