srinivas vemprala

AI Researcher

Bengaluru, Karnataka, India11 yrs 10 mos experience
Highly Stable

Key Highlights

  • Expert in applied science with a focus on machine learning.
  • Proven track record in developing innovative algorithms.
  • Strong background in e-commerce and advertising technologies.
Stackforce AI infers this person is a Machine Learning Expert in E-commerce and Advertising technology.

Contact

Experience

11 yrs 10 mos
Total Experience
5 yrs 4 mos
Average Tenure
1 yr 2 mos
Current Experience

Walmart global tech

Principal Applied Scientist

Apr 2025Present · 1 yr 2 mos · Bengaluru, Karnataka, India

Microsoft

4 roles

Senior Applied Scientist

Oct 2022Apr 2025 · 2 yrs 6 mos

Senior Applied Scientist

Promoted

Dec 2021Oct 2022 · 10 mos

Applied scientist II

Mar 2019Dec 2021 · 2 yrs 9 mos

Data and Applied Scientist II

Jan 2017Mar 2019 · 2 yrs 2 mos

Ebay

Software engineer 2

Jul 2014Dec 2016 · 2 yrs 5 mos · Bengaluru, Karnataka, India

  • Email Time Prediction:
  • Ebay marketing strategy involves notifying the users through more than 30 different
  • emails about item price reduction, watch item ending, Out Bid Notification etc. The
  • amount of revenue generated is directly proportional to open and click rates. So the
  • email sending time really matters and it has been justified through several researches as
  • well. Most recipients (95 percent) open and read the email within the first 60 minutes
  • and if the email goes unopened for 24 hours, the chances of it being read come close
  • to zero. The idea is to send email to user during his peak opening time to increase
  • open and click rates. Developed an algorithm to model user email opening behavior
  • and predict most favorable time for sending emails.
  • See It Want It Get It:
  • One big fallback every e-commerce user experiences is not able to find what they are
  • looking for. This is mainly because they cannot express their thoughts with words.
  • Developing an Image searching app is becoming necessary for any e-commerce company.
  • This idea is worked on after office hours and developed a mobile app from which a picture
  • can be taken and user will be directed to item page on eBay. For this daunting project
  • developed a Custom feature extraction method based on Deep Belief networks and a
  • custom dimensionality reduction algorithm , which can index images for similar item
  • retreival. The accuracy of algorithm over all of eBay.in(around 30Tb of data) is 100
  • percent in case of perfect match and highly satisfactory in case of similar searches. This
  • project won at Skunkworks which is Global innovation challenge for eBay.

Amazon

Machine Learning Intern

May 2013Jul 2013 · 2 mos · Bengaluru, Karnataka, India

  • Publisher Fraud Detection:
  • As a part of their advertising campaign Amazon bids for the online spaces of various
  • websites. The bidding amount for a website is influenced mainly by click through rates
  • and conversion rates of that particular website. Recently botnets like chameleon have
  • been developed which infect users systems and divert traffic to some websites which will
  • result in loss of huge share of advertising costs. We successfully developed a model to
  • differentiate such faulty websites from genuine websites leading to frugal utilization of
  • advertising resources. Ran this model for around 200 million users on Hadoop cluster.

Qualcomm

Internship

May 2011Jul 2011 · 2 mos · Bengaluru, Karnataka, India

  • Internship at Qualcomm Inc. in Windows Phone Development team for a period of two months.
  • Asynchronous parallel testing of Multiple Mobiles:
  • Developed hardware and software for testing multiple windows based mobile phones
  • simultaneously. Impact of the project is cutting off the time and effort of quality testing
  • by more than 75 percent.

Education

Indian Institute of Science (IISc)

Master’s Degree — System Science and Automation

Jan 2012Jan 2014

National Institute of Technology Warangal

Engineer’s Degree — Electrical and Electronics Engineering

Jan 2008Jan 2012