Omid Aghdaei
Angestellt, Data Scientist, Part AI Research Center
Tehran, Iran (Islamische Republik )
Über mich
Highly skilled data scientist and machine learning engineer with over 3 years of industry experience in computer vision, speech processing, and deep reinforcement learning. Proficient in Python, SQL, and implementing machine learning algorithms. Experienced in utilizing cutting-edge techniques and methodologies to solve complex problems and deliver impactful solutions.
Werdegang
Berufserfahrung von Omid Aghdaei
Bis heute 3 Jahre und 2 Monate, seit März 2021
Data Scientist
Part AI Research Center
Played key role in developing & optimizing state-of-the-art models for audio-to-text conversion. Collaborated on project for converting telephone speech to text, leading to best-performing model in Iran. Contributed to Speaker Diarization projects, successfully identifying & separating speakers in audio recordings. Leveraged tools like VAD to improve speech segmentation. Utilized model compression techniques like ONNX, Distillation, and Quantization to optimize size, performance, and deployment efficiency.
2 Jahre und 10 Monate, Dez. 2019 - Sep. 2022
Research Assistant
Ferdowsi University of Mashhad
Developed deep RL system for drone navigation, achieving 2% accuracy improvement and 18% faster inference. Utilized MiDaS algorithm for obstacle detection in diverse weather conditions. Trained ResNet-8 on real collision datasets for precise decision-making. Compressed networks with ONNX, resulting in 25% faster inference with minimal accuracy decrease. Developed specialized model with YOLO v5 for small obstacle detection, enhancing drone's navigation capabilities in complex environments.
Ausbildung von Omid Aghdaei
3 Jahre und 1 Monat, Sep. 2019 - Sep. 2022
Artificial Intelligence
Ferdowsi University of Mashhad
Thesis title: Quadcopter Autonomous Navigation using Deep Reinforcement Learning Grade: 3.61/4.00 GPA
4 Jahre, Sep. 2014 - Aug. 2018
Information Technology (IT)
Islamic Azad University South Tehran Branch
Thesis title: The relation of Internet of Things in smart city and smart car Grade: 3.31/4.00 GPA
Sprachen
Englisch
Fließend
Deutsch
Gut
Persian
Muttersprache