Prashant K
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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 Response Time 12.0 hours
- Average Count of Messages/Day 0.3
- Project Completion Rate 2/4
- Interview Acceptance Rate 4/6
- Timezone Overlap 0h PST, 30h UTC
- Code Quality 60%
- Soft Skill Attributes 60%
- Expertise 2/3
- Coding Challenges 60%
- No. of Lifelong Learning Projects 2
- No. of Coding Challenges Completed 2 More details
- Software Engineering Process 4.0/5
- Technical Breadth 4.0/5
- Algorithmic Thinking 4.0/5
- Technical Strength 4.0/5
- Teamwork 3.0/5
- Intellectual Merit 4.0/5
- 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
16 - 16
16 - 16
Vetting
- Interview Data
- Agile Development Process
- Productivity and Responsiveness
- Teamwork
- Software Engineering
- Logical Thinking
- Technical Strength
- Intellectual Merit
- English Communication
- Documentation
- System Design
- Coding Challenges60%
- Algorithms Score60%
- General Score60%
- Easy Algorithm
- Correctness60%
- Performance60%
- Medium Algorithm
- Correctness60%
- Performance60%
- Hard Algorithm
- Correctness60%
- Performance60%
- Expertise2/3
- Design Patterns and Architectures2/3
- Debugging2/3
- Stack Traces2/3
- Testing2/3
- System Administration2/3
- Soft Skill Attributes60%
- Entrepreneurial60%
- Whole Brained60%
- Divergent Thinking / Creativity60%
- Design Ability60%
- Empathy60%
- Project Management Ability60%
- Security60%
- Code Quality60%
- Complex Logic60%
- Models60%
- Controllers60%
- Templates60%
- APIs60%
- Training/Testing Data Models60%
- Code Readability60%
- Ongoing Evaluation
- Number of Lifelong Learning Project2
- Number of Coding Challenge Completed3
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.