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 like Google DeepMind and Meta. My expertise spans LLMs, computer vision, NLP, and MLOps, solving complex problems across various industries.

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

A little more about my journey

Throughout my career at leading organizations such as Google DeepMind, Meta, Amazon, and Netflix, I've consistently designed and implemented innovative AI/ML solutions. My work has focused on large language models, computer vision, and reinforcement learning, resulting in significant improvements in efficiency, accuracy, and scalability. I'm passionate about leveraging AI to tackle global challenges, as evidenced by my contributions to projects like ClimateNet and LLMGuard. I'm also a published author and frequent speaker at leading AI conferences.

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 exceeding AlphaFold's inference speed, and created knowledge-aware LLMs for scientific question answering, while also building a scalable training infrastructure resulting in a 4x speedup.

Staff AI Engineer

Meta (Facebook AI Research - FAIR) • Oct 2018 - Feb 2022

Architected RealTimeDet, Meta's object detection system for Reels and Marketplace, significantly reducing model latency and co-authored Meta's fairness-aware recommendation engine for 3 billion users.

Senior Applied Scientist

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

Designed and deployed anomaly detection models for AWS Shield, creating an AutoML pipeline supporting 500+ enterprise ML workloads and leading the integration of AWS Sagemaker's distributed training with Horovod and EFA.

Machine Learning Engineer II

Netflix • Jul 2013 - Apr 2015

Optimized personalization algorithms for content ranking and dynamic thumbnails, and developed adaptive bitrate prediction models for over 200 million global users.

AI/ML Intern

Apple • Summer 2012

Developed a voice intent classifier enhancing 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 project employing satellite imagery and temporal transformers to predict extreme climate events, deploying it to African agencies for flood early-warning systems.

Satellite ImageryTemporal Transformers

LLMGuard

Developed a security layer for enterprise LLMs to mitigate prompt injection, hallucination, and data leakage risks, currently integrated into LangChain and used by over 20 enterprise clients.

LLMsLangChain

MediVision AI

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

Deep LearningComputer Vision

SafeChat AI

Built an open-source solution for contextual moderation and real-time toxicity filtering for chatbots and generative AI applications, boasting over 10 million downloads on Hugging Face.

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