Piyush Bhardwaj

AI Researcher

India11 yrs 10 mos experience
Highly Stable

Key Highlights

  • Expert in Machine Learning and Natural Language Processing.
  • Developed advanced algorithms for ad placement and content analysis.
  • Strong background in quantitative analysis and predictive modeling.
Stackforce AI infers this person is a Machine Learning Engineer with expertise in Advertising and Financial Modeling.

Contact

LinkedIn

Skills

Core Skills

Machine LearningStatisticsC

Other Skills

C#C++CFDData AnalysisEngineeringFinancial ModelingHydraulicsJavaMatlabMicrosoft ExcelMicrosoft OfficeNatural Language ProcessingProgrammingSolidworks

Experience

11 yrs 10 mos
Total Experience
2 yrs 8 mos
Average Tenure
1 yr 1 mo
Current Experience

Linkedin

Staff Software Engineer, Machine Learning

May 2025 – Present · 1 yr 1 mo · Bengaluru, Karnataka, India · On-site

Machine LearningNatural Language Processing

Thinkbot research

Quantitative Trader and Partner

Jun 2020 – Jun 2025 · 5 yrs · Bengaluru, Karnataka, India

Goldman sachs

Vice President

Mar 2017 – May 2020 · 3 yrs 2 mos · Bangalore Urban, Karnataka, India

Microsoft

Software Engineer

Aug 2015 – Mar 2017 · 1 yr 7 mos · Bangalore

  • I work on Native Ads in Bing Ads team. We show contextually relevant ads in news articles on MSN.com. My role includes building Machine Learning algorithms to understand news articles and develop them in our production system. Past projects include sentiment analysis of articles to block ads on sensitive news content and article recommendation using Deep Neural Networks.
Machine LearningNatural Language ProcessingC#Microsoft Excel

Citi

Analyst

Jun 2012 – Jul 2013 · 1 yr 1 mo

  • Built mathematical models to predict customer behaviour on credit card transactions.Used techniques like logistic regression, decision trees, PCA etc. for predictive modeling
StatisticsFinancial Modeling

Syracuse university

Research Intern

May 2011 – Jul 2011 · 2 mos

  • Proposed and implemented algorithms in C and MATLAB to solve optimization problems for
  • dynamic resource allocation in cognitive radio networks.
CMatlab

Education

Indian Institute of Technology, Kanpur

Master’s Degree — Computer Science

Jan 2013 – Jan 2015

Indian Institute of Technology, Kanpur

B.Tech-M.Tech Dual Degree — Mechanical Engineering

Jan 2007 – Jan 2012

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