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George Ioannides is listed as Deep Learning R&D @ Amazon Web Services (AWS) at Amazon Web Services (AWS), based in San Diego, California, United States. AeroLeads shows a work email signal at nasa.gov and a matched LinkedIn profile for George Ioannides.
George Ioannides previously worked as Deep Learning Research Engineer / Architect at Amazon Web Services (Aws) and Research Affiliate at Carnegie Mellon University - School Of Computer Science - Language Technologies Institute. George Ioannides holds Master Of Science - Ms, Computer Science And Engineering (Msit-Is) from Carnegie Mellon University.
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I am a researcher and engineer in Natural Language Processing, Speech Processing, Computer Vision, Multimodal Machine Learning, Pre-trained Foundation Models, Transformer-based Models, Attention-based Models and Generative Models.Previously, I worked with Amazon Alexa and NASA. Prior joining Amazon, I developed novel Automatic Speech Recognition (ASR) models that outperformed AWS and Microsoft Azure ASRs in conversational AI.
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Seattle, Wa, Us
•Research and Development in pre-training, efficient model fine-tuning and retrieval methods.•Building end-to-end Machine Learning pipelines.•Improving and fine-tuning models for domain-specific business use cases.•Involved in Model training, Model Optimization, Model Profiling, Machine Learning System Architecture Design, and Scalable Machine Learning Model deployment (Custom Model and Optimization Program)
Pittsburgh, Pennsylvania, Us
•Research and development activities related to voice/image/text processing for Explainable AI.and intelligence operations.•Deducing feature representations from data using Bayesian methods.•Collaborating on developing grant proposals (international and US-based fundingsources)
Moffett Field, California, Us
•Airport surface simulation and aircraft movement control (CMU Practicum project)•Improved aircraft path scheduling for the San Francisco airport (SFO).
Seattle, Wa, Us
•Alexa Artificial Intelligence•Proposed and developed a novel method for Speech Emotion Recognition.•Proposed and developed a method towards disentanglement of linguistic and paralinguistic features for Speech Emotion Recognition.Paper (INTERSPEECH 2023): https://www.amazon.science/publications/towards-paralinguistic-only-speech-representations-for-end-to-end-speech-emotion-recognition
Limassol, Cyprus, Cy
•Researched & developed methods for audio/voice authentication and counter-measures against replay attacks.
Limassol, Cyprus, Cy
•Researched and developed an Automatic Speech Recognition (ASR) system.•Applied novel Machine Learning methods on Speech Processing and Natural Language Processing.•Adapted Machine Learning models (model architecture, hyperparameters) on conversational speech and outperformed the Word Error Rate of state-of-the-art open-source and commercial tools (Amazon Web Services ASR by ~20% and Microsoft Azure ASR by ~2%) for finance and education industries.•Worked with a continuous stream of data in the scale of Petabytes.•Contributed to OpenSeq2Seq (https://github.com/NVIDIA/OpenSeq2Seq).
Nicosia, Cy
•Worked in the Computing sector at the General Headquarters.•Improved my leadership skills and self-discipline.
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George Ioannides works for Amazon Web Services (AWS).
George Ioannides is listed as Deep Learning R&D @ Amazon Web Services (AWS) at Amazon Web Services (AWS).
AeroLeads has found 1 work email signal at @nasa.gov for George Ioannides at Amazon Web Services (AWS).
George Ioannides is based in San Diego, California, United States while working with Amazon Web Services (AWS).
George Ioannides has worked for Amazon Web Services (Aws), Carnegie Mellon University - School Of Computer Science - Language Technologies Institute, Nasa Ames Research Center, Amazon, and Impactech.
You can use AeroLeads to view verified contact signals for George Ioannides at Amazon Web Services (AWS), including work email, phone, and LinkedIn data when available.
George Ioannides holds Master Of Science - Ms, Computer Science And Engineering (Msit-Is) from Carnegie Mellon University.
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