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Alekh Agarwal

Vice President - Finance | VWO, VWO
Bengaluru, Karnataka,India
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Alekh Agarwal's Overview

Total Experience22 years
CompanyVWO
CountryIndia

Alekh Agarwal is a distinguished Staff Research Scientist at Google Research, New York, focusing on the theoretical and algorithmic foundations of machine learning. He is a leading expert in areas such as reinforcement learning, contextual bandits, online learning, and learning theory. His research aims to develop robust, scalable, and theoretically sound algorithms for sequential decision-making under uncertainty, with broad applications in areas like recommendation systems, resource allocation, and personalized medicine. Before joining Google, Alekh was a Principal Researcher at Microsoft Research, where he made significant contributions to similar fields. He received his Ph.D. in Computer Science from the University of California, Berkeley, and his work is characterized by a blend of deep theoretical insights and practical algorithmic design, often leading to highly influential publications and open-source contributions.

Professional Summary

Alekh Agarwal's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:

VWO - Vice President - Finance | VWO (2023 to Present)
LambdaTest - Director (2021 to 2023)
Wingify - Director of Finance (2017 to 2021)
Groupon India - Head - Financial Planning and Business Intelligence (2012 to 2016)
Groupon - Manager - Financial Planning &Analysis, APAC Emerging Markets (India,Indonesia,Thailand,Philippines) (2013 to 2015)
Fidelity International - Assistant Manager (2010 to 2012)
E & Y - Executive (2009 to 2010)
Deloitte - Assistant (2005 to 2008)

Notable Achievements

Pioneering Research in Contextual Bandits

Recognized for foundational theoretical work and development of practical algorithms for contextual bandit problems, significantly influencing the field of interactive and online learning.

Significant Contributions to Reinforcement Learning Theory

Authored numerous influential papers advancing the theoretical understanding of reinforcement learning, particularly in areas like sample efficiency, exploration-exploitation trade-offs, and offline RL.

Co-author of Highly Cited Publications

His research papers, published in top-tier machine learning conferences and journals (NeurIPS, ICML, COLT, JMLR), are widely cited, indicating a substantial impact on the machine learning community and guiding future research directions.

Program Committee Leadership at Premier AI Conferences

Frequently serves as an Area Chair or Senior Program Committee member for leading AI conferences like NeurIPS, ICML, and COLT, playing a key role in shaping the direction of AI research.

Development of Scalable Machine Learning Algorithms

Contributed to the development and understanding of algorithms that can operate effectively at large scale, crucial for real-world machine learning applications.

Educational Background

Bachelor’s Degree, Business/Commerce, General

Government College, Ajmer - Year 2002

Commerce

St. Anselms Senior Secondary School - Year 1994

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Notable news
Hiring actively
Corporate Finance
Corporate Finance
Corporate Finance
Corporate Finance
Corporate Finance

Company Overview

VWO
Total employees350
HeadquartersDelhi
Founded2009

VWO is a leading global A/B testing and conversion rate optimization (CRO) platform. It empowers marketing professionals to increase online sales and conversions by providing tools for visitor research (heatmaps, session recordings), hypothesis building, A/B, split, and multivariate testing, personalization, and feature rollouts. VWO helps businesses understand user behavior, test ideas, and deliver better digital experiences without needing deep technical expertise.

VWO Funding Information
Not applicable - Total Funding Raised
Not applicable - Most recent funding amount
Not applicable - Number of funding rounds
Not applicable - Latest funding round
Lead Investors:
Bootstrapped / Self-funded

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