Professional Overview
Sonya Jin is a highly accomplished early-career AI researcher and product manager with direct experience at NVIDIA, where she served as an Enterprise AI Product Manager and Research Scientist focusing on large language models (LLMs) during a summer internship from June to August 2024. Her role was embedded within NVIDIA’s enterprise AI team and the code + reasoning team, indicating direct involvement in applied AI solutions targeted at business and industrial applications of AI technologies. This position came after her prior role as an Applied Scientist specializing in Graph Machine Learning at Amazon Web Services (AWS) AI Lab from July to September 2023.
Sonya is also the Co-Founder of a stealth-mode startup (since April 2025) named PearX S25, located in San Francisco, signaling entrepreneurial interests and experience in leading innovative ventures, likely within the AI or technology sectors.
Educational Background
Sonya is currently pursuing a Bachelor’s degree in Computer Science with a focus on Artificial Intelligence at Stanford University (2022–2025). Her academic excellence is demonstrated through leadership roles in student organizations such as:
- Stanford Students in Biodesign (SSB), where she leads the Stanford Health Innovations in Future Technologies (SHIFT) subteam.
- ASES Global Entrepreneurship in the Breakthrough Venture Capital subteam.
- Stanford Social Entrepreneurial Students Association, participating in venture capital-related initiatives.
- Business Association of Stanford Entrepreneurial Students.
Her earlier academic record includes graduating in 2022 from Stuart Country Day School of the Sacred Heart, heralded by a 4.0 unweighted GPA, and various leadership positions in extracurricular activities.
Key Technical and Research Contributions
- Graph Machine Learning Innovation: Sonya developed a novel methodology to improve seen-image reconstruction using graph convolutional networks (GCNs) by incorporating brain region interconnectivity within the visual cortex. This approach outperformed standard linear and PCA baselines by 14.12% in test feature correlation metrics, marking a significant technical advancement in computational neuroscience and AI-driven image reconstruction.
- AI in Biomedical Applications: Through a project titled PatchTrackr, she contributed to creating a dermatologist-endorsed allergic contact dermatitis testing app during a Stanford-affiliated biodesign initiative, evidencing interdisciplinary skills in AI and healthcare technologies.
- Vaccine AI Research: Sonya developed tools using LSTM and GRU models to enhance vaccine stability prediction for tropical and temperate climates, resulting in a 20% increase in predictive reactivity accuracy, recognized with a third-place award at the Nucleotide Hackathon 2020.
- AI for Creative Tools: She led the engineering of Expressiva, an AI-powered music production platform incorporating MIDI audio transcription and melody auto-completion with recurrent neural networks, reducing music production times by 25% and winning the Best Far Out Hack at Creatica 2020.
Recognitions & Awards
- Stanford x MIT Impactathon 2024 – First Place
- Genentech Outstanding Student Award (2024) — recognizing biotechnology-related research excellence.
- Stanford Probability for Computer Scientists Challenge – Grand Prize (2023)
- Stanford Boothe Prize Nominee for undergraduate expository writing (2023)
- Regeneron Science Talent Search Scholar 2022 — named in America’s Top 300 Young Scientists.
- International top honors in music competitions (American Protege and Virtuoso International).
- Numerous other awards highlighting strengths in STEM, entrepreneurship, and creative arts.
Professional Activities & Leadership
Sonya has maintained a strong presence in the AI research community, actively sharing insights and engaging with leading AI researchers and industry figures via social media and professional events. For instance, she has hosted discussions involving founders and researchers from OpenAI, Meta, Anthropic, and other AI leaders, indicating her networking reach and influence within cutting-edge AI circles.
She demonstrates a commitment to bridging academic research and practical enterprise AI applications, with hands-on experience shipping production code at NVIDIA impacting millions of users.
Current and Future Focus
- As of April 2025, Sonya is focused on her role as co-founder of a stealth startup, implying a transition from corporate research into entrepreneurship.
- Her recent work and internships position her as a specialist in enterprise AI product management and AI research, strongly emphasizing LLMs, graph machine learning, and AI applications in biomedicine and digital health.
- She is actively involved in academic contributions, including research presentations targeting AI model improvements, biomedical AI, and generative AI implications.
NVIDIA Relevance
Sonya’s brief but technically deep engagement at NVIDIA’s enterprise AI team indicates familiarity with NVIDIA’s cutting-edge AI frameworks and their applications in real-world enterprise settings, particularly related to large-scale language models and reasoning systems. Her interdisciplinary skills spanning AI research, product management, and entrepreneurship provide a unique perspective aligned with NVIDIA’s strategic focus on AI acceleration platforms and solutions.
Profile Image:
Location: Palo Alto, California, United States
LinkedIn: [https://www.linkedin.com/in/sonya-jin](https://www.linkedin.com/in/sonya-jin)
Following: 2,488 followers
This profile suggests Sonya Jin is a technically skilled AI researcher and product manager with hands-on experience at NVIDIA and AWS, recognized for innovative AI applications spanning enterprise AI, graph machine learning, and biomedical domains, currently leveraging these capabilities towards startup creation in the AI sector.
