Jayasimha Talur

AI Researcher

Bengaluru, Karnataka, India11 yrs 9 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in deep learning and machine learning applications.
  • Proven track record in improving relevance models for advertising.
  • Experience in healthcare-related AI projects.
Stackforce AI infers this person is a highly skilled AI and Machine Learning expert with a focus on healthcare and advertising technologies.

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Skills

Other Skills

PythonTensorflowDeep LearningMachine LearningNumPyPandasC++CJavaScriptProgrammingData StructuresCUDAJavaMatlab

Experience

11 yrs 9 mos
Total Experience
2 yrs 11 mos
Average Tenure
7 yrs 8 mos
Current Experience

Amazon

2 roles

Senior Applied Scientist

Jun 2023Present · 3 yrs

Applied Scientist

Oct 2018Jun 2023 · 4 yrs 8 mos

Microsoft

Data and Applied Scientist 2

Jun 2017Sep 2018 · 1 yr 3 mos · Bengaluru, Karnataka, India

  • I work on building/improving relevance models for Bing Ads.

Indian institute of science (iisc)

Research Associate

Feb 2017Jun 2017 · 4 mos · Bengaluru, Karnataka, India

  • Deep learning applied to computer vision.
  • 1. Improved reconstruction of medical images using deep convolutional neural networks.
  • 2. Experimented with novel image de-noising methods in an adversarial setting.
  • 3. Implemented a part of automatic differentiation framework. (https://github.com/iamsimha/dlsys-course-solutions)
  • 4. Exploring problems at the intersection of computer vision and natural language processing.

Cisco

Software Engineer

Aug 2014Feb 2017 · 2 yrs 6 mos

  • Developed, Tested, Maintained, Java and JavaScript code-base for an enterprise software product. Owned a major product component, meeting timely feature delivery and fixing critical bugs. I was also a part of the code review team and hiring committee.

Education

Indian Institute of Science

Master of Technology (MTech) — Computational Science

Jan 2012Jan 2014

PES Institute of Technology

Bachelor of Engineering (BE) — Electronics and Communications Engineering

Jan 2008Jan 2012

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