Anoop Deoras

Director of Engineering

Mountain View, California, United States21 yrs 10 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led AI/ML initiatives at AWS and Netflix.
Expert in building advanced ML systems.
Strong background in speech and language technologies.

Stackforce AI infers this person is a Machine Learning expert specializing in SaaS and AI-driven solutions.

Contact

akdeoras@yahoo.com LinkedIn

Skills

Core Skills

Machine LearningArtificial IntelligenceData MiningRecommender SystemsNatural Language ProcessingSpeech Recognition

Other Skills

AlgorithmsApache SparkArtificial Neural NetworksDeep LearningImage ProcessingJavaMachine TranslationMathematicsNeural NetworksPythonSoftware EngineeringSpeech Processing

About

Experienced Machine Learning leader who builds and develops large ML applied science and ML engineering organizations. I drive impact by instilling a culture of excellence, integrity and compassion, hiring and developing the best, retaining top talent and setting clear strategic vision for the group.

Experience

Amazon web services (aws)

2 roles

Director, AWS Agentic AI

Promoted

Jul 2023 – Present · 2 yrs 8 mos

I oversee all of applied AI and ML for AWS' agentic AI division. My teams build agentic systems and the required foundational tooling and LLMs. Primary focus is on highly specialized coding agents and agents primitives ( foundational components required to build Agentic workflows ).
Built agents powering Q CLI (agentic experience in terminal), kiro.dev (agentic IDE) and AWS Transforms (agentic solutions for large system and code transformations)
https://github.com/aws/amazon-q-developer-cli
https://kiro.dev/
https://aws.amazon.com/transform/
https://aws.amazon.com/bedrock/agentcore/

Machine LearningArtificial IntelligenceSoftware Engineering

Principal Scientist, AI/ML

Aug 2020 – Jul 2023 · 2 yrs 11 mos

Led AI/ML for all of AI Vertical Services -- Personalization, Recommender Systems, Clean Room ML for Ad targeting, Forecasting, Anomaly Detection and Differential Privacy ML.

Machine LearningData MiningAlgorithms

Netflix

Principal Technologist

Sep 2014 – Aug 2020 · 5 yrs 11 mos · Los Gatos

Principal technologist for the Personalization and Recommender System product. Built Netflix's Deep Learning based Personalization Engine.

Machine LearningDeep LearningRecommender Systems

Microsoft

2 roles

Senior ML Scientist

Aug 2013 – Sep 2014 · 1 yr 1 mo

Senior ML Scientist for the Virtual Personal Assistant product. Worked on large scale Language Models, Automatic Speech Recognition and Spoken Language Understanding.

Machine LearningNatural Language ProcessingSpeech Recognition

ML Scientist

Aug 2011 – Aug 2013 · 2 yrs

Part of the ML applied science team responsbile for research and development of virtual personal assistants.

Machine LearningNatural Language Processing

The johns hopkins university

Ph.D.

Sep 2006 – Aug 2011 · 4 yrs 11 mos · Washington DC-Baltimore Area

My PhD thesis was on the topic of integrating very long span language models in large vocabulary speech recognition and machine translation systems. Advisor: Prof. Fred Jelinek.

Machine LearningSpeech Recognition