Prajin K
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.
ML ENGINEER Preferred Title
$31.25 /hr $ 24.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
LD Talent History - Average Count of Messages/Day 0.2
- Project Completion Rate 2/4
- Interview Acceptance Rate 4/6
- Timezone Overlap 28h PST, 47h 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
- English Communication 4.0/5
- Documentation 3.0/5
- Desktop Mac
- Phone iPhone
- Tablet iPad
- Member Since Apr 18, 2022
- Profile Last Updated Apr 11, 2022
- Last Activity Aug. 27, 2022, 4:53 p.m. UTC
- Location Nepal
Profile Summary
I am a Computer Science graduate, and working professionally as an AI Engineer with core focus on building and integrating Machine learning applications.
Skills
Total Experience: 5+ years
PyTorch (5E, 6Y)
5 experiences, across 6 yearsPython (5E, 6Y)
5 experiences, across 6 yearsDeep learning (4E, 6Y, 2C)
4 experiences, across 6 years, with 2 coursesNatural language processing (2E, 4Y)
2 experiences, across 4 yearsSpeech recognition (4Y)
4 years of experienceComputer vision (3Y)
3 years of experienceAzure (3Y, 1C)
3 years of experience, with 1 courseDocker (3E, 3Y, 1C)
3 experiences, across 3 years, with 1 courseAWS Lambda
AWS Elasticsearch
AWS (2Y, 1C)
2 years of experience, with 1 courseKubernetes (2Y)
2 years of experienceFlask (2Y)
2 years of experienceMachine learning (2Y, 2C)
2 years of experience, with 2 coursesPandas (2Y)
2 years of experienceAWS S3 (1C)
1 courseAWS ECR (1C)
1 courseAWS EC2 (1C)
1 courseData mining (1C)
1 courseData Engineering (1C)
1 course
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 28h PST, 47h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
05 - 17
12 - 17
12 - 17
12 - 17
12 - 17
12 - 17
05 - 17
PST
22 - 10
05 - 10
05 - 10
05 - 10
05 - 10
05 - 10
22 - 10
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
- Code Quality
- Code Readability
Experience
AI Engineer
Employment
Jan 2022 - Present
Dogma Group Company
Technology Industry
Project: Contrastive Learning from image and text
- Worked on computer vision techniques: Object detection, Instance segmentation ( training and fine tuning ) in Python and Pytorch. Involved in hiring ML human resources ( Interview, Onboarding )
- Research on deep learning approach such as Contrastive learning techniques to extract information from images and text at once. Deployed demo app in Azure.
ML Engineer
Course Project
Sep 2021 - Present
Tribhuwan University Company
Research Industry
Project: Nepali Automatic Speech Recognition System
- Nepali Automatic Speech recognition system.
- Worked on Data collection, validation, Model building in Pytorch and deployment.
- Worked on Supervised learning ( RNN, Transformers ) with Python.
- Worked on Semi Supervised learning deep learning methods, i.e., on wav2vec2 architecture (training , fine-tuning the model ).
- Worked on Natural Language processing pipeline.
Machine Learning Engineer
Employment
Feb 2021 - Dec 2021
Fusemachines Company
Technology Industry
Project: Plagiarism Checker
- Developed Plagiarism checker (English and Nepali ) in Python.
- Used AWS Elasticsearch for finding syntactically similar documents, deep learning methods built with Pytorch to compare them semantically.
- Worked on Natural language processing pipeline.
- Deployed the containerized application( Docker ) on AWS lambda with CI/CD pipeline ( Jenkins).
Machine Learning Engineer
Employment
Apr 2020 - Jan 2021
Fusemachines Company
Technology Industry
Project: Digitzing Online Examination
- Developed Face Detection, Recognition, Anti-spoofing application using Pytorch and Python.
- Deployed the containerized micro-services with event driven architecture using AWS SQS, ECR, and EKS. (Kubernetes).
- Developed Gaze estimation, head-pose estimation models.
- Developed Speaker verification using Python and Pytorch. Used AWS services S3, and SQS
- Deployed the containerized micro-services ( Docker) in Flask.
Machine Learning Engineer Trainee
Employment
Dec 2019 - Mar 2020
Fusemachines Company
Technology Industry
Project: Content Creation
- Involved heavily in creating content (Reading materials, Slides, Videos, Coding Assignments, Projects) related to Machine learning, Deep learning using Python, and Pytorch.
- I learned in-depth about ML, DL algorithms, use cases, data analysis with Pandas, and deployment pipeline with Docker. This experience improved my Python proficiency.
Qualifications
Education
Bhaktapur Multiple Campus
Aug 2018 - Aug 2022
BSC. CSIT (Computer Science)
Courses