Animesh S
The star rating is a representation of the overall rating, calculated as the mean of the client satisfaction rating, the average client interview rating, and internal interview scores.
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.
Computer Scientist Preferred Title
$62.50 /hr $ 60.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
Interview Scores (3.3/5) - Software Engineering Process 3.0/5
- 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
- English Communication 3.0/5
- Documentation 3.0/5
- Desktop Windows・Linux
- Phone Android
- Tablet Android Tablet
- Member Since Jul 11, 2022
- Profile Last Updated Jun 26, 2022
- Last Activity Aug. 30, 2022, 9:53 a.m. UTC
- Location India
- Current Status Student
Profile Summary
I am a computer science graduate student from IIIT Hyderabad in India and am currently interning at Google. My primary skills are Machine Learning, in particular Reinforcement Learning, and Software Development. I also love to participate in sports programming contests and solve problems in data structures and algorithms.
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 32h PST, 15h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
12 - 20
20 - 24
20 - 24
20 - 24
20 - 24
20 - 24
19 - 24
PST
05 - 13
13 - 17
13 - 17
13 - 17
13 - 17
13 - 17
12 - 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
- English Communication
- Documentation
Experience
Research Engineer
Internship
Oct 2020 - Dec 2020
AICrowd Company
Research Industry
Project: Food Segmentation and Classification from Images
- Open source landscape of semantic segmentation pipelines and models (like OpenMMlabs MMCV or Facebook Detectron), and how their internals work, customizing these pipelines in PyTorch.
- Systematic benchmarking and evaluation process for machine learning tasks and logging everything on WandB.
Qualifications
Education
International Institute of Information Technology, Hyderabad
Aug 2018 - Jul 2022
B.Tech. (Computer Science)
International Institute of Information Technology, Hyderabad
Aug 2018 - Jul 2023
M.S. (Computational Natural Science)