Green leaf




Prajin K - PyTorch developer
Member since:Apr 18, 2022
Profile last updated:Apr 11, 2022
Last activity:May 23, 2022, 1:51 p.m. UTC
Location:
Nepal

Prajin K

I am a Computer Science graduate, and working professionally as an AI Engineer with core focus on building and integrating Machine learning applications.

Skills:    ·   ·   ·   ·   ·   ·   ·    ·    ·    ·    ·    ·    ·    ·    · 
Weekly Availability: 49 hours
Day UTC PST
Sun 05 - 17 22 - 10
Mon 12 - 17 05 - 10
Tues 12 - 17 05 - 10
Wed 12 - 17 05 - 10
Thurs 12 - 17 05 - 10
Fri 12 - 17 05 - 10
Sat 05 - 17 22 - 10

Hourly Rate: $31.25
Experience: 3 yrs
PyTorch: 3 yrs
Python: 3 yrs
Docker: 2+ yrs
Deep learning: 2 yrs
Natural language processing: 2 yrs
Speech recognition: 1 yrs
AWS Lambda: 1 yrs
Engineer's Devices:
Mac
iPhone
iPad

LD Talent Work History

Average response time:
12.0 hours
Avg count of messages / Day:
0.2
 

Experiences

Dogma Group     Contrastive Learning from image and text     AI Engineer     Employment
Jan 2022 - Present
Technology

  • 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.

Skills used: Deep learning, Computer vision, Azure, PyTorch, Python


Tribhuwan University     Nepali Automatic Speech Recognition System     ML Engineer     Course Project
Sep 2021 - Present
Research

  • 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.

Skills used: Natural language processing, Deep learning, Speech recognition, PyTorch, Python


Fusemachines     Plagiarism Checker     Machine Learning Engineer     Employment
Feb 2021 - Dec 2021
Technology

  • 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).

Skills used: Natural language processing, Deep learning, Docker, AWS Elasticsearch, AWS Lambda, Python, PyTorch



Link to the project:
Fusemachines     Digitzing Online Examination     Machine Learning Engineer     Employment
Apr 2020 - Jan 2021
Technology

  • 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.

Skills used: Docker, PyTorch, Python, Kubernetes, Flask, AWS



Link to the project:
Fusemachines     Content Creation     Machine Learning Engineer Trainee     Employment
Dec 2019 - Mar 2020
Technology

  • 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.

Skills used: Deep learning, Docker, Pandas, PyTorch, Machine learning, Python



Link to the project:

Education

Bhaktapur Multiple Campus    BSC. CSIT  (Computer Science)
Aug 2018 - Aug 2022

Courses

AWS Machine Learning Speciality    Amazon Web Service
Jul 2021 - Aug 2022
Skills learnt: Deep learning, Docker, AWS S3, AWS ECR, AWS EC2, Machine learning, AWS
Microsoft Certified: Azure Data Scientist Associate    Microsoft Azure
Aug 2020 - Sep 2020
Skills learnt: Deep learning, Azure, Data mining, Data Engineering, Machine learning