Technologies:
Python, NLP, Deep learning, Machine
learning, torchtext, azure, aws
Responsibilities:
Automatically read and rank forms and applications against organizations eligibility and merit criteria.
Transform any text into meaningful insights within minutes
Automate screening or and sales follow-ups
Build AI model to match applicants to the criteria that matters most to organization
Technologies:
Python, Pytorch, Keras, pandas, spacy, Numpy, NLP, Recommendation Sytem, Deep learning, Machine
learning, torchtext,
Django
Responsibilities:
Employ machine learning algorithms and generating training data.
Experience with NLP, Text mining, Scrapping, Data
visualization, Recommendation system
Computer vision, Time-series data etc
Experience in Atlassian JIRA/Confluence/Agile SDLC
Generate words embedding using word2vec, fasttext and glove models.
Develop App architecture and provide technical guidance to the team.
Optimizing the performance bottlenecks using multi-processing.
Generate training data from scratch using advance regexes.
Develop App architecture and provide technical guidance to the team.
Detecting and optimizing the performance bottlenecks.
Responsible for full release cycle of the project.
Develop the pipelines to enable ML models training on multiple machines and make real time
predictions.
Parsing trip emails for extracting the entities using NLP / machine learning.
Building and managing new features and integrations with third-party services.
Machine learning models deployment using flask and docker.
Peer code reviews.
Technologies:
Python, Django, RestAPI, Django-ORM, sqlalchemy
Responsibilities:
Experienced with building a scalable web applications.
Experienced with web frameworks like Django, Flask in
addition; familiarity with the different libraries for socket
programming, multi-processing, etc..
Experienced with Designing of data workflow and building
a secure API.
Image Captioning, automatically generates descriptions according to the objects observed in an image.
Read MoreMaintaining the privacy of data for the users has become crucial. With the rise of machine learning, the concerns regarding data misuse are taken seriously.
Read MoreGood recommendation on platforms not only saves time for those who are looking for connection but also improves user experience and engagement
Read MoreStandardization of End-to-End Data Pipeline for AI Project Using Kedro consisting of both data engineering and data science pipelines.
Read MoreI'm currently taking on freelance work.
I can help with the following:
Drop me a line at sushil79g@gmail.com or call me at +61 04321 69 155