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Hanadi Thaisir Jaradath

@hanadithaisirjaradat

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I build real-time AI, robotics, and telemetry systems from vision to deployment.

India

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What I'm looking for

I'm looking to build real-time AI, robotics, computer vision, or intelligent systems where I can apply Python, embedded systems, telemetry, and machine learning to measurable technical challenges.

I built a multi-threaded Python system at ISRO's Master Control Facility to monitor real-time telemetry from 32 active satellites during live commanding operations. I also developed health-parameter validation and automated anomaly alerts in a distributed Linux environment.

My AI-powered animatronic face combines OpenCV, MediaPipe, Llama3-8B, Vosk, and servo actuation for autonomous multimodal interaction. It achieved a 97% detection rate and 67ms gaze latency across seven servo motors.

I've also automated agricultural price collection across 819 markets in 26 states and built linear-regression predictions using Scikit-learn. My work on an AI-driven humanoid animatronic face was published at IEEE ICESST 2026.

Experience

Work history, roles, and key accomplishments

Computer Systems Intern

Indian Space Research Organisation (ISRO)

Jun 2025 - Jul 2025 (1 month)

Built a multi-threaded Python system for real-time telemetry monitoring of 32 active satellites during live commanding operations. Designed health-parameter validation logic in a distributed Linux system and automated anomaly-detection alerts across continuous telemetry streams.

Python Linux Telemetry Anomaly Detection Distributed Systems

Education

Degrees, certifications, and relevant coursework

Srinivas University Institute of Engineering and Technology

Bachelor of Technology, Robotics, Artificial Intelligence & Machine Learning

Grade: CGPA 8.88/10.00

Activities and societies: Relevant Coursework: Control Engineering, Machine Learning, SLAM, Statistics for Engineers, Signal Processing, Numerical Techniques & Integral Transforms.

Pursuing a B.Tech in Robotics, Artificial Intelligence & Machine Learning with a CGPA of 8.88/10.00 and First Class with Distinction.