Senior AI Engineer
A highly accomplished AI leader with 12+ years of experience building and deploying cutting-edge AI/ML systems at top companies like Google DeepMind, Meta, and Amazon. Expertise spans LLMs, computer vision, NLP, and MLOps, consistently solving complex problems and driving impactful results.
About Me
A little more about my journey
Nikita Sutskever is a results-oriented Senior AI Engineer with over a decade of experience creating and scaling impactful AI systems across FAANG companies and innovative startups. His expertise encompasses machine learning architecture, LLMs, computer vision, NLP, reinforcement learning, and MLOps. He has a proven record of tackling global-scale challenges, from fraud detection and autonomous systems to climate AI and personalized healthcare, consistently delivering innovative and impactful solutions.
Experience
Senior AI Research Engineer
Google DeepMind • Mar 2022 – Present
Spearheaded the development of AlphaCarbon, a generative protein folding model, and created knowledge-aware LLMs for scientific QA, significantly improving model performance and efficiency. Built a scalable distributed training infrastructure resulting in a 4x speedup on TPUv4 pods.
Staff AI Engineer
Meta (Facebook AI Research - FAIR) • Oct 2018 – Feb 2022
Architected RealTimeDet, Meta's production object detection system, and reduced model latency by 60% through quantization. Co-authored a fairness-aware recommendation engine impacting 3B users.
Senior Applied Scientist
Amazon Web Services (AWS AI Labs) • May 2015 – Sep 2018
Designed and deployed anomaly detection models for AWS Shield, enhancing security and protection. Developed an AutoML pipeline supporting over 500 enterprise ML workloads and led the integration of Sagemaker with Horovod + EFA for distributed training.
Machine Learning Engineer II
Netflix • Jul 2013 – Apr 2015
Optimized personalization algorithms for dynamic thumbnails and content ranking. Developed adaptive bit-rate prediction models for 200M+ global users, improving user experience and resource utilization.
AI/ML Intern
Apple • Summer 2012
Developed a voice intent classifier for Siri, boosting accuracy by 35% on African English accents.
Education
M.S. in Artificial Intelligence
Stanford University • 2011 – 2013
B.Sc. in Computer Science
Egerton University, Kenya • 2007 – 2011
Skills & Technologies
The tools and technologies I work with
Featured Projects
Some of my recent work
ClimateNet
Co-founded an open-source AI project using satellite imagery and temporal transformers to predict extreme climate events, deploying it to African climate agencies for early flood warnings.
LLMGuard
Developed a security layer for enterprise LLMs to mitigate prompt injection, hallucination risks, and data leakage, currently adopted by over 20 enterprise clients and integrated into LangChain.
MediVision AI
Created a deep learning system for retinal disease detection using fundus images, successfully deployed in 15 rural hospitals across India and East Africa.
SafeChat AI
Built an open-source solution for contextual moderation and real-time toxicity filtering in chatbots and generative AI apps, boasting over 10M downloads on Hugging Face.
Let's Work Together
I'm always interested in new opportunities and exciting projects. If you have a question or just want to say hi, I'll get back to you!
Get In Touch