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👋 Hello there! I'm Likith Ponnanna

I am a versatilist at Machine Learning, working on the full stack of machine learning lifecycle

As a Machine Learning Engineer 🤖, my role involves architecting, development and deployment of the machine learning applications at scale. I am currently specialized in Computer Vision and NLP domain. My current research area as a member of the R&D team is in multi-modal video anomaly models.

🤔 I'm interested in all things data: Machine Learning, Data Science, Cloud , DevOps and MLOps
🔭 My current research is in multi-modal video anomaly models

#!/usr/bin/python
# -*- coding: utf-8 -*-
class MachineLearningEngineer:
  def __init__(self):
      self.first_name = "Likith Ponnanna"
      self.last_name = "Patrapanda Belliappa"
      self.role = "Machine Learning Engineer"
  def hello(self):
      print("Thanks for dropping by, hope you find some of my work interesting.")
me = MachineLearningEngineer()
me.hello()


📫 How to reach me:

Likith Ponnanna's Projects

aws-sam icon aws-sam

Repository explaining how to test locally an AWS sam temaplate containing lambda using lambda layers.

boston-housing-dataset-predictor icon boston-housing-dataset-predictor

This repository contains Building, Training, Saving and deployment code for the model built on Boston Housing Dataset to predict Median Value of owner-specified homes in $1000s (MEDV).

finance-tracker-spring-jpa icon finance-tracker-spring-jpa

Project backend to communicate with database using Java Persistence API to use Java Objects to communicate with the MySQL Database.

golang-api-analytics icon golang-api-analytics

A go build that is built from scratch that allows the end user to fetch API contents and measure website performance analytics.

sample-ci-python icon sample-ci-python

Sample project for setting-up Gitlab CI/CD with pytest and pytest-cov for Python-based applications

text-similarity-scorer icon text-similarity-scorer

This repo contains files to code that deploys an API endpoint for a user to detect text similarity between 2 texts without the use of any libraries.

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