About Me
A passionate AI researcher specializing in natural language processing and large language models.
Hello! I'm Chad Jipiti, an AI researcher and natural language processing specialist based in San Francisco. I have a passion for pushing the boundaries of what's possible with large language models and conversational AI.
With a background in computer science and machine learning, I've been fortunate to work at the forefront of AI research, contributing to groundbreaking models that have transformed how humans interact with computers. My work spans from the early days of transformer architectures to today's cutting-edge multimodal systems.
When I'm not training neural networks or optimizing attention mechanisms, you'll find me writing about AI ethics, mentoring the next generation of researchers, or contemplating the future of human-AI collaboration.
Skills & Expertise
Here are some of the technologies and skills I've been working with
Frontend Development
Backend Development
Machine Learning & AI
Programming & Tools
Research & Collaboration
Experience
My professional journey so far
Senior AI Researcher
2022 - PresentDeepMind AI Labs
Leading research on multimodal large language models and developing novel attention mechanisms. Published papers at top AI conferences and mentored junior researchers on transformer architecture improvements.
AI Research Engineer
2020 - 2022OpenAI
Contributed to GPT-3 development with focus on optimization techniques and training infrastructure. Implemented improvements to reduce inference latency and developed fine-tuning systems for improved response quality.
NLP Researcher
2017 - 2020Google Brain
Member of the original BERT team, contributing to transformer architecture design and pre-training methodology. Developed techniques for knowledge extraction and published highly-cited research on attention mechanisms.
Education
My academic background
Ph.D. in Machine Learning
2014 - 2017Stanford University
Dissertation on attention mechanisms for neural network architectures under the guidance of Dr. Andrew Ng. Research focused on efficient training of neural networks for natural language understanding.
M.S. in Computer Science
2012 - 2014Massachusetts Institute of Technology
Specialized in artificial intelligence and natural language processing. Research focused on neural network architectures for language understanding, with an emphasis on recurrent neural networks for sequence modeling.
B.S. in Computer Science
2008 - 2012University of California, Berkeley
Graduated summa cum laude with honors thesis on statistical methods for machine translation. Participated in early research on neural approaches to NLP and completed a minor in Mathematics.
Want to know more?
Check out my resume for a more detailed overview of my experience and skills.