Sroniyan

ML Engineer

Languages :

Python C C++ Typescript Multithreading etc

Tools :

GIT BitBucket JIRA PyCharm Anaconda etc.

Frameworks :

Scikit-Learn Tensorflow Keras matplotlib numpy pandas NLTK Spacy coreNLP Textblob Scipy Flask Spark ray framework Dask etc.

Databases :

MySQL Neo4J GraphDB etc

Servers :

Apache Tomcat

Cloud Platform :

Amazon Web Services (AWS) Microsoft Azure Google Cloud Oracle Cloud IaaS SaaS PaaS DaaS

Experience :
Based your requiremenrt

Working Summary :

Several Years of experience in ML Development using various technologies.
Expertise into AI algorithm implementation for supervised machine learning.
Expertise into AI algorithm implementation for Unsupervised machine learning.
Expertise into AI algorithm implementation for Re-enforcement machine learning.
Expertise in ML, NLP, Deep Learning, Online/Incremental learning etc.
Expertise in Transfer Learning by using GPT3 and Google Bert Model and another custom model.
Expertise in ML pipeline and ML cluster on AWS.
Expertise in Model hyper parameters tuning and Model Training.
Expertise in Model Training based big data using GPU/TPU Support etc.
Expertise in Ray cluster for running ML or Non-ML task on multiple nodes parallel.
Expertise in writing the any application architecture from scratch.
Expertise in code review and code sanitization & code refactoring and testing/debugging etc.
Expertise in object-oriented programming (oops) and design pattern and design principal implementation.
Expertise in core and framework level programing for best solution.
Good knowledge in code optimization, reducing code redundancies and writing clear & loosely coupled code & logic.
Expertise in writing stories and their points into any sprint and applying agile methodology implementation.
Have experience in technical team lead and Individual technical contributor as well.