Prashant K
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The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
Software Engineer Preferred Title
$25.00 /hr $ 20.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
LD Talent History - Average Count of Messages/Day 0.3
- Project Completion Rate 2/4
- Interview Acceptance Rate 4/6
- Timezone Overlap 0h PST, 30h UTC
- Software Engineering Process 4.0/5
- Design Practice 3.0/5
- Design Theory 3.0/5
- Technical Breadth 4.0/5
- Logical Thinking 4.0/5
- Technical Strength 4.0/5
- System Design 3.0/5
- Productivity and Responsiveness 3.0/5
- Teamwork 3.0/5
- Agile Development Process 3.0/5
- Intellectual Merit 4.0/5
- Documentation 3.0/5
- Desktop Linux
- Phone iPhone
- Tablet iPad
- Member Since Jun 01, 2021
- Profile Last Updated May 24, 2021
- Last Activity July 17, 2021, 5:57 a.m. UTC
- Location India
Profile Summary
Currently Inclined towards optimizing deep learning models. Working on Heterogeneous computing using MLIR Framework. Open Sourced transformations to tensorflow and ONNX MLIR Framework. I am interested in Compiler Optimisation.
Skills
Total Experience: 6 years
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 0h PST, 30h UTC
Day
Sunday
Saturday
UTC
00 - 24
00 - 24
PST
17 - 17
17 - 17
Vetting
- Interview Data
- Software Engineering Process
- Design Practice
- Design Theory
- Technical Breadth
- Logical Thinking
- Technical Strength
- System Design
- Productivity and Responsiveness
- Teamwork
- Agile Development Process
- Intellectual Merit
- Documentation
Experience
Software Engineer
Employment
May 2020 - Present
PolyMage Labs Company
Technology Industry
Project: MLIR Framework
- MLIR Framework for Heterogenous Computing, Deep Learning, Compilers, Python, Tensorflow.
- Open Source Transformations from hlo to affine in tensorflow.
- Advanced C++ with llvm backend.