Manu Seth

Software Engineer

Mountain View, California, United States9 yrs 1 mo experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in Machine Learning and Data Analysis.
  • Proven track record in developing predictive models.
  • Strong foundation in software engineering and algorithms.
Stackforce AI infers this person is a Machine Learning Engineer with strong software development skills.

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Skills

Core Skills

Machine LearningDeep LearningData AnalysisStatistical Modeling

Other Skills

C++CUDA ToolkitMXNetPythonRegression AnalysisSystemVerilog2D GraphicsUI DesignCData StructuresAlgorithmsMatlabSQLMicrosoft ExcelLaTeX

Experience

9 yrs 1 mo
Total Experience
4 yrs 6 mos
Average Tenure
7 yrs 11 mos
Current Experience

Amazon web services

Software Development Engineer

Jul 2018Present · 7 yrs 11 mos · San Francisco Bay Area

Amazon development centre germany

SDE Intern (Core ML team)

Jul 2017Sep 2017 · 2 mos · Berlin Area, Germany

  • Implemented parallelized algorithms for distribution samplers with GPU support to reduce operational latency
  • Used cuRAND library (CUDA Toolkit) to develop different samplers on C++ with a Python testing environment
  • Assumed full responsibility of the project and contributed to MXNet, an open-source library for Deep Learning
  • Also developed a box-cox transformation operator using MXNet, to be used by other teams to normalize samples
C++CUDA ToolkitMXNetPythonMachine LearningDeep Learning

Loylty rewardz mngt pvt ltd

Strategy Analyst

Jun 2015Aug 2016 · 1 yr 2 mos · Mumbai Area, India

  • Analyzed consumer behavior and made prediction models based on it; targeted consumers more likely to comply
  • Used regression analysis and other statistical models to increase marketing efficacy and induce desired response
  • Built a model to increase consumer transaction frequency and repeat purchase behavior for leading retail merchants to generate a revenue of approximately INR 5 million in the period April-June 2016
Regression AnalysisStatistical ModelingData Analysis

Samsung r&d institute

Intern

May 2014Jul 2014 · 2 mos · Bengaluru Area, India

  • Enabled use of 2D accelerator design for UIs with same performance as 3D Graphics engine but at a lower power
  • Modeled & implemented an innovative blending technique to address issues like screen freezing in smartphones
  • Abstracted & verified RTLs in SystemVerilog for the above technique; ensured that it satisfies industry standards
SystemVerilog2D GraphicsUI Design

Education

UC San Diego

Master of Science (M.S.) — Machine Learning

Jan 2016Jan 2018

Indian Institute of Technology, Kanpur

Bachelor of Technology (B.Tech.) — Electrical Engineering

Jan 2011Jan 2015

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