I am a Computer Science graduate student at California State University, Fullerton. I worked as a software engineer at HSBC for 2 years. I have a keen interest in machine learning. I have worked on full-stack development with Flask, Django, and AWS. I create technical content on my YouTube channel- HackerShrine.
My skillset lies in Machine Learning, Python, AWS, Flask,and Django. I love to create different projects on use cases and learn new technologies. I am intrigued by Machine Learning and its applications.
An ecommerce website made with HTML/CSS, bootstrap for frontend and Django for backend. The site is deployed on AWS Elastic Beanstalk.
Utilizes the features of Personalize to builld a recommendation engine with different algorithm like personalized ranking, popularity count and more.
A Django based ML webapp which trains the algorithm on Logistic and XGBoost. The user can choose which evaluation metrics to display like accuracy and F1 score.
A webapp built with AWS, python, and flask. The user will upload a file to S3 and it will trigger a lambda function to invoke the SNS service and send a notification email to the user.
A webapp will take a document as input and store it in S3. When the user clicks on the Extract button it will trigger the AWS Textract API and display the output back to the user.
A complete login and signup page which uses Amazon DynamoDB as its database to perform Read and Write operations. Python and boto3 with HTML, CSS, Bootstrap was used.
A webapp will take a document as input and store it in S3. When the user clicks on the Extract button it will trigger the AWS Textract API and display the output back to the user.
A kaggle problem set on Heart Attack Analysis which explains the model outputs using Eli5. The notebook shows the weights of all the features for all the outputs making the user understand the data.
I have always been fond of learning new technologies. With Hackershrine I aim to provide everyone with simple use cases using Python, Machine Learning, AWS, Flask, and Django
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