Deep Learning Specialization

Statistics for Machine Learning

Convolutional Neural Networks

Sequence Models

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

DeepLearning.AI TensorFlow Developer

Neural Networks and Deep Learning

Structuring Machine Learning Projects

Natural Language Processing in TensorFlow

Sequences, Time Series and Prediction

Convolutional Neural Networks in TensorFlow

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Bachelor of Engineering - BE

Lead

Software Developer Internship

Software Developer Internship - ML

• Built data pipelines, Flask APIs, AI-based models with production-ready code.
• Also worked on AWS S3 and EC2 instance for deployment and used AWS boto3 within the project. 
• Worked on the extraction of Tabular data from Images.
• Built a REST API for Time-series forecasting and prediction cashflow.
• Implemented LSTM based Text classification model for document classification.
• Made an API gateway for the Text classification model based on Flask to handle
requests from microservice.
• Worked on a Rule Engine to computer credit score and made an API around it.
• Generated Synthetic Finance Data for Forecasting Models.
            

    
    

    
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Machine Learning Engineer Intern

• Worked on Image Segmentation, Lane Detection, Single Shot Detectors based on Deep Learning
• Trained Faster-RCNN model for Traffic Signs and Traffic Lights detection.
• Image Segmentation of Road scenes based on Mask-RCNN and PSP-Net.

Deep Learning Computer Vision Intern

Speaker at Google AI/ML Explore organized under GDG Bangalore.
https://blog.glugmvit.com/google-ai-ml-explore/

Core Member

• Worked on wildfire detection along with 40 collaborators from the world.
• Implemented various computer vision-based research papers.

Junior Machine Learning Engineer

Software Engineer - ML at HackerRank

Software Engineer 2, ML at HackerRank

hashnode

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