Hi, my name is
Jagadish Reddy Ramana.I am ML Engineer,
Machine learning Engineer with 6 years of experience in building data intensive applications overcoming complex architectural and scalability issues. Proficient in predictive modelling, data processing, data mining and deployment of diverse services to translate business to substantial deliverables.
01.About Me
Hello! My name is Jagadish Reddy Ramana and I enjoy working on Machine learning and AI. My interest in Machine learning started back in 2019 when I decided to try playing with data and enjoyed to score and train the data as per needs using ML models. After couple of months I became ML Engineer
Fast-forward to today, and I had the privilege of working at an travel based product company, a good workspace, and with good learning environment.
Here are a few technologies I have been working with recently:
- Python, R
- TensorFlow
- PyTorch
- NumPy
- Docker
- Kubernetes
- Jenkins
- Github Actions
- Airflow
- Datadog

02.Where I have Worked
- LeadMLEngineer
- TechnologyAnalyst
- SeniorEngineer
- SystemEngineer
Machine Learning Engineer III@IBSxExpedia
Sept 2022 - present
- Led engineering efforts for deploying and maintaining ML model pipelines using GitHub Actions, Jenkins, and other deployment tools.
- Utilized AWS services including S3, EMR clusters, EC2, and Lambda for storing models and procesing data and deployed the GBDT model end point on AWS with a feedback loop and monitoring framework.
- Developed and maintained end-to-end ML models and MLOps pipelines to map room types for Expedia, focusing on competitor analysis.
- Worked on projects improving search relevance and ranking on Expedia platform, using various ML models to enhance user experience.
- Developed NLP models (VADER and BERT) to analyze customer feedback and reviews, extracting insights to improve product offerings.
- Implemented generative AI models using Amazon Bedrock (CLAUDE and TITAN) to create personalized content recommendations for users based on their search history and preferences.
- Tools used: Github, Jenkins, docker, Github actions, Airflow
03.Some Things I have Built

Featured Project
OLd Image Colouring
Old Image Colourisation refers to the process of adding color to black and white or grayscale images, Using advanced algorithms and machine learning techniques, this technology analyzes the content and context of the image to intelligently apply appropriate colors, restoring them to a more lifelike appearance.
Other Noteworthy Projects
view the archive
Text Summarizer
Text summarizer is Gen AI model created on top of PaLM which summarizes the story or novel in PDF
- PALM
- Gen AI
- Google Colab
Zomato- Sentimental Analysis
A kaggle Project to determine the sentimental analysis of customer based on reviews and rating
- Numpy
- Sklearn
- NLP
Ola Ensemble learning
Built a model for the business case, along with KNN imputation and Feature engineering
- Ensemble Algorithms
- Encoding
- Feature Engineering
04. What’s Next?
Get In Touch
I’m currently looking for any new opportunities, my inbox is always open. Whether you have a question or just want to say hi, I’ll try my best to get back to you!

