Our Team
Meet the researchers and engineers behind Applied AI Labs.
Co-Founder
Engineer, entrepreneur, and AI architect. 8 years at Snap building platforms for 150M+ users, now helping enterprises deploy AI systems that generate real ROI. From quant trading to customer service automation — if it can be automated, we build it.
Applied AI Labs
Co-Founder · Los Angeles
Building enterprise-grade AI solutions: automated trading systems, virtual employees, social media engines, and custom AI workflows — all driving measurable business outcomes.
Digillect
Co-Founder · Los Angeles
Built a consumer AIGC company from zero to launch — shipped an iOS app, Discord bot, and cloud-native ML inference platform on K8S/GCP.
Snap Inc.
Senior Software Engineer · Santa Monica
8 years building platforms at scale for 150M+ daily users. Led iOS performance optimization (60%+ faster), architected modular camera platform, and engineered real-time media processing pipelines.
Quixey
ML Engineer · Mountain View
Pioneered semantic search using deep learning embeddings and NLP, building self-evolving knowledge graph systems.
RPI · SYSU · SZSY
Rensselaer Polytechnic Institute (M.S. in CS, MBA, 3.97 GPA, Full Scholarship), Sun Yat-Sen University, SZSY. Fellow alumni — always happy to connect.
Jane Smith
Co-Founder & CTO
AI researcher and technologist with deep expertise in transformer architectures, multi-modal learning, and reinforcement learning. Former research scientist at Google DeepMind with a Ph.D. in Machine Learning from MIT.
Applied AI Labs
Co-Founder & CTO · Los Angeles
Leading technical strategy and AI research initiatives, building cutting-edge solutions that bridge the gap between theoretical AI research and real-world applications.
Google DeepMind
Research Scientist · Mountain View
Led research on large-scale transformer architectures and multi-modal learning systems, publishing influential papers on efficient attention mechanisms.
Stanford AI Lab
Postdoctoral Researcher · Stanford
Conducted pioneering research in reinforcement learning and natural language processing, developing novel approaches to reward modeling and alignment.
MIT · Cambridge, MA
Ph.D. Computer Science (Machine Learning). B.S. Mathematics & Computer Science.