Senior AI Engineer

A highly accomplished Senior AI Engineer with 12+ years of experience building and deploying cutting-edge AI/ML systems at top companies. My expertise spans machine learning architecture, LLMs, computer vision, and MLOps, solving complex problems across various industries.

5+ Years Experience
4+ Projects
12+ Technologies
Profile picture of Nikita Sutskever
Available for work
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About Me

A little more about my journey

I am a results-oriented AI leader with a proven track record of success in building and scaling AI/ML systems for FAANG companies and impactful startups. My passion lies in leveraging the power of AI to solve global challenges—from fraud detection and autonomous systems to climate change and personalized healthcare. I excel in machine learning architecture, LLMs, computer vision, NLP, reinforcement learning, and MLOps, consistently delivering innovative and scalable solutions.

Clean Code Advocate
Team Collaborator
Problem Solver

Experience

Senior AI Research Engineer

Google DeepMind • Mar 2022 – Present

Spearheaded the development of AlphaCarbon, a generative protein folding model; developed knowledge-aware LLMs for scientific QA; and built scalable distributed training infrastructure, achieving 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; reduced model latency by 60% using quantized vision transformers; and co-authored Meta's fairness-aware recommendation engine for 3B users.

Senior Applied Scientist

Amazon Web Services (AWS AI Labs) • May 2015 – Sep 2018

Designed and deployed anomaly detection models for AWS Shield; built an AutoML pipeline supporting 500+ enterprise ML workloads; and led AWS Sagemaker's distributed training integration with Horovod + EFA.

Machine Learning Engineer II

Netflix • Jul 2013 – Apr 2015

Optimized personalization algorithms for dynamic thumbnails and content ranking; and developed adaptive bit-rate prediction models for 200M+ global users.

AI/ML Intern

Apple • Summer 2012

Developed a voice intent classifier that improved Siri's accuracy on African English accents by 35%.

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

Python
PyTorch
TensorFlow
JAX
Scala
Go
AWS
GCP
Azure
Kubernetes
SQL
Spark

Featured Projects

Some of my recent work

ClimateNet

Co-founded an open-source AI project that leverages satellite imagery and temporal transformers to predict extreme climate events, deploying it to African climate agencies for early flood warnings.

Satellite ImageryTemporal Transformers

LLMGuard

Developed a security layer for enterprise LLMs to detect prompt injection, hallucination risks, and data leakage, adopted by 20+ enterprise clients and integrated into LangChain plugins.

LLMsLangChain

MediVision AI

Created a deep learning system for retinal disease detection using fundus images, deployed in 15 rural hospitals across India and East Africa.

Deep LearningFundus Images

SafeChat AI

Built an open-source project for contextual moderation and real-time toxicity filtering for chatbots and generative AI apps, with a Hugging Face model exceeding 10M downloads.

Hugging FaceNatural Language Processing

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