Summary
Antonios Alexos is a research scientist and PhD candidate in computer science with a decade of experience advancing deep learning for speech-enabled large language models, transformers, generative AI, and adversarial robustness. He bridges top-tier research—published at ICML, NeurIPS, AISTATS and AAAI—with industry impact through roles at Meta Superintelligence Labs, AWS, and Disney Research, focusing on Speech LLM training and safety. His work spans applied safety techniques like adversarial training, novel robustness methods, and practical speech editing/TTS systems, demonstrating a rare mix of theoretical rigor and production-aware engineering. Based in Sunnyvale, he is known for collaborating across product and research teams to scale ML solutions and has a track record of transferring academic innovations into real-world services. A less obvious strength is his multidisciplinary background in healthcare and financial ML applications, showing adaptability across domains.
10 years of coding experience