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Prashant K - Python developerLD Talent logo

Prashant K

The star rating is calculated by averaging the reviews provided by all clients the talent has worked with for a significant amount of time.

If such data is not available, the star rating is calculated from the fraction of work sessions approved by their past clients versus the total tracked by the talent.

If such data is not available, the star rating defaults to the interview rating of the talent at the time of the vetting process.

Other data including reviews from interviews are available on the talents’ profiles but do not influence their star rating, though they do influence their position in the search results.
Software Engineer Preferred Title
$25.00 /hr $ 20.0K /yr Hourly Rate and Yearly Salary
Overview Vetting Experiences Qualifications
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
Vetting Summary
  • 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
Interview Scores (3.8/5)
  • 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
Talent's Devices
  • Desktop Linux
  • Phone iPhone
  • Tablet iPad
General
  • 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: 4+ years
  • Python (2E, 3Y)

    2 experiences, across 3 years
  • Tensorflow (2E, 3Y)

    2 experiences, across 3 years
  • Deep learning (1E, 3Y)

    1 experience, across 3 years
  • C++ (1E, 3Y)

    1 experience, across 3 years
  • Compilers (1E, 3Y)

    1 experience, across 3 years
  • scikit-learn (1E, < 1Y)

    1 experience, less than a year
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
  • Agile Development Process
  • Productivity and Responsiveness
  • Teamwork
  • Software Engineering
  • Logical Thinking
  • Technical Strength
  • Intellectual Merit
  • English Communication
  • Documentation
  • System Design
  • Coding Challenges
    60%
  • Algorithms Score
    60%
  • General Score
    60%
  • Easy Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Medium Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Hard Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Expertise
    2/3
  • Design Patterns and Architectures
    2/3
  • Debugging
    2/3
  • Stack Traces
    2/3
  • Testing
    2/3
  • System Administration
    2/3
  • Soft Skill Attributes
    60%
  • Entrepreneurial
    60%
  • Whole Brained
    60%
  • Divergent Thinking / Creativity
    60%
  • Design Ability
    60%
  • Empathy
    60%
  • Project Management Ability
    60%
  • Security
    60%
  • Code Quality
    60%
  • Complex Logic
    60%
  • Models
    60%
  • Controllers
    60%
  • Templates
    60%
  • APIs
    60%
  • Training/Testing Data Models
    60%
  • Code Readability
    60%
  • Ongoing Evaluation
  • Number of Lifelong Learning Project
    2
  • Number of Coding Challenge Completed
    3
  • Lifelong Learning Project 1
  • Lifelong Learning Project 1
  • Coding Challenges 1
  • Coding Challenges 2
  • Coding Challenges 3
Experience
Software Engineer
Employment
May 2020 - Present
PolyMage Labs Company
Technology Industry
Project: MLIR Framework
  • Deep learning
  • Tensorflow
  • Compilers
  • Python
  • C++
  • MLIR Framework for Heterogenous Computing, Deep Learning, Compilers, Python, Tensorflow.
  • Open Source Transformations from hlo to affine in tensorflow.
  • Advanced C++ with llvm backend.
Software Engineer
Internship
May 2019 - Jul 2019
IBM Company
Technology Industry
Project: Cognitive Recommendation Engine.
  • Python
  • Tensorflow
  • scikit-learn
  • Learnt about AutoEncoders for training recommendation engine, using python, tensorflow, scikit-learn.
  • End to End deployment of models.
Qualifications
Education
IIT Delhi
Jul 2019 - Jul 2020
M.tech (Computer Science)
Courses
Deep Learning Specialization
Jan 2020 - Jul 2020
Coursera
  • Deep learning
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