Goutham Tholpadi

AI Researcher

Seattle, Washington, United States23 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in machine learning algorithms and data science applications.
Proven track record in developing NLP and information retrieval systems.
Strong background in software development and data warehousing.

Stackforce AI infers this person is a Data Science and AI specialist with a focus on E-commerce and Advertising Technology.

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Skills

Other Skills

Information RetrievalBusiness IntelligenceAlgorithmsData MiningProduct DevelopmentAnalyticsRequirements AnalysisJavaSAPCSQLSoftware Project ManagementABAPLinuxPython

About

My current work and my research work during my PhD involved developing systems and machine learning al- gorithms for understanding real-world data. Prior to my PhD, I developed software for nearly 6 years, mainly for data warehousing and enterprise analytics.

Experience

23 yrs

Total Experience

3 yrs 3 mos

Average Tenure

3 yrs 11 mos

Current Experience

Amazon

2 roles

Applied Scientist II

Jun 2024 – Present · 1 yr 11 mos · Hybrid

Data Science for the Sellers Marketplace

Applied Scientist II

Jun 2022 – Jul 2024 · 2 yrs 1 mo · Hybrid

Data Science for Amazon Sellers

Peritus.ai

Tech Lead, Data Scientist

Mar 2018 – May 2022 · 4 yrs 2 mos · Bengaluru, Karnataka, India

Multiple NLP and IR applications in data center support: search, auto-suggestion, ticket similarity, article recommendation, task-oriented chatbots, question answering
Classification, anomaly detection, and ranking on machine-generated time series data

Makemytrip.com

Senior Principal Data Scientist

Mar 2017 – Mar 2018 · 1 yr · Bengaluru, Karnataka, India

Optimizing the hotel feed per user (architecture and algorithms for balancing revenue, conversion, spread)
Measurement and testing frameworks for the feed (real-time dashboards; A/B experiment design)

Microsoft india

Data Science for Advertising

Feb 2015 – Feb 2017 · 2 yrs · Bengaluru Area, India

Developed parts of infrastructure and algorithms for the ad serving stack at Bing Native Ads.
Special focus on inferring intent from page context and matching advertiser targeting (at scale).
Developed explore-exploit algorithms and infrastructure for ads.

University of york

Research Intern

Apr 2013 – May 2013 · 1 mo · York, England, United Kingdom

Developed a graphical model for comparable corpora incorporating syntactic features, and a Gibbs sam-
pler for inference.

Microsoft research india pvt ltd.

Research Intern

May 2010 – Aug 2010 · 3 mos

Mined Multi-word Named Entity equivalents from comparable corpora using a multi-tier generative
model (workshop paper, IJCNLP 2011).

Indian institute of science

2 roles

Teaching Assistant

Jan 2010 – Jan 2012 · 2 yrs

Machine Learning (Jan–Apr 2012), Algorithms and Programming—undergraduate course (Aug–Dec
2011), Linear Algebra and Applications (Aug–Dec 2010).

PhD

Jan 2008 – Jun 2018 · 10 yrs 5 mos

Apply machine learning approaches to solve problems in natural language processing.

Yahoo! research

Intern

May 2009 – Jul 2009 · 2 mos · Bangalore

Developed algorithms for minimally supervised information extraction from product web sites; per-
formed large-scale experiments with web data on Hadoop clusters.

Sap

2 roles

Principal Software Engineer

Sep 2007 – Dec 2007 · 3 mos

Returned for a brief stint before starting my PhD program at the Indian Institute of Science

Development Lead

Jun 2003 – Jun 2007 · 4 yrs

Developed tools for a data warehousing and analytics product (SAP NetWeaver BI)
Remodeling data cubes in-place; enterprise search tool for BI objects
Created a prototype artificial intelligence agent that responds to natural language queries.