Adith Swaminathan

AI Researcher

Bellevue, Washington, United States15 yrs 11 mos experience

Highly StableAI Enabled

Key Highlights

Expert in machine learning and AI research.
Developed automated trading systems in Fintech.
Strong background in data-driven decision making.

Stackforce AI infers this person is a Machine Learning Researcher with expertise in AI and Fintech.

Contact

Skills

Core Skills

Machine LearningArtificial Intelligence (ai)Research And Development (r&d)Software Development

Other Skills

Reinforcement LearningData-driven Decision MakingData MiningAlgorithmsMatlabCComputer ScienceC++PythonQuantitative FinanceJavaSQLNatural Language Processing

About

I research machine learning to improve decision-making for user-interactive systems.

Experience

15 yrs 11 mos

Total Experience

3 yrs 8 mos

Average Tenure

1 yr 8 mos

Current Experience

Netflix

Research Scientist

Oct 2024 – Present · 1 yr 8 mos · Seattle, Washington, United States · Remote

I am a member of the Machine Learning and Inference Research (MLIR) team.

Reinforcement LearningData-driven Decision MakingResearch and Development (R&D)Artificial Intelligence (AI)Machine Learning

Microsoft

3 roles

Principal Researcher

Sep 2023 – Oct 2024 · 1 yr 1 mo · Redmond, Washington, United States · On-site

I research new machine learning methods as a member of the Augmented Learning and Reasoning group at MSR Redmond.

Artificial Intelligence (AI)Research and Development (R&D)Machine LearningReinforcement LearningData-driven Decision Making

Senior Researcher

Mar 2019 – Oct 2024 · 5 yrs 7 mos · Redmond, Washington, United States · On-site

I research new machine learning methods as a member of the Reinforcement Learning group at MSR Redmond.

Artificial Intelligence (AI)Research and Development (R&D)Machine LearningReinforcement LearningData-driven Decision Making

Researcher

Feb 2017 – Oct 2024 · 7 yrs 8 mos · Redmond, Washington, United States · On-site

I research new machine learning methods as a member of MSR AI.

Artificial Intelligence (AI)Research and Development (R&D)Machine LearningReinforcement LearningData-driven Decision Making

Universiteit van amsterdam

Visiting Scholar

Sep 2015 – May 2016 · 8 mos · Amsterdam Area, Netherlands · On-site

Visited the Information and Language Processing Systems (ILPS) group at UvA, hosted by Prof. Maarten de Rijke, during Prof. Thorsten Joachims' (my PhD advisor) sabbatical.

Research and Development (R&D)Machine LearningData-driven Decision Making

Microsoft

3 roles

Research Intern

May 2015 – Jul 2015 · 2 mos · New York City

With the Machine Learning Group at MSR NYC.
Developed off-policy estimators that evaluate policies for contextual combinatorial bandits.

Research and Development (R&D)Machine LearningData-driven Decision Making

Research Intern

May 2013 – Jul 2013 · 2 mos · Redmond, Washington, United States · On-site

With the Computer Human Interactive Learning group at MSR Redmond.
Developed interpretable text classification methods using active learning.

Research and Development (R&D)Artificial Intelligence (AI)Data MiningMachine Learning

Research Intern

May 2012 – Aug 2012 · 3 mos · Mountain View, California, United States · On-site

With the Search Labs at MSR Silicon Valley Center (Vidya Project).
Explored methods to automatically augment textbooks with relevant high quality videos.

Research and Development (R&D)Artificial Intelligence (AI)Data MiningMachine Learning

Cornell university

PhD Candidate

Aug 2011 – Jan 2017 · 5 yrs 5 mos · Ithaca, New York Area · On-site

Department of Computer Science.
My thesis studies machine learning for interactive systems.
I develop principles and algorithms that can re-use the interaction logs of these systems to inform the design of (e.g. train and evaluate) future systems -- technically speaking,
solving batch learning under bandit feedback models.

Research and Development (R&D)Machine LearningData-driven Decision Making

Tower research capital

Strategist

May 2010 – Jul 2011 · 1 yr 2 mos · Gurgaon and New York City · On-site

Conceptualized and implemented several profitable automated high frequency trading systems.
Wrote high performance protocol implementations for many electronic trading exchanges.
Developed critical monitoring, alerting and broadcasting systems.

Software DevelopmentMachine LearningData Mining

Microsoft

Software Development Engineer - Tester - Intern

May 2009 – Jul 2009 · 2 mos · Hyderabad, India · On-site

With the Office Mobile team, in charge of Excel Mobile testing and performance benchmarking.
Created an add-in for Visual Studio on my own initiative that automated stress-tests and improved test team productivity many-fold.

Software Development