Cloud Functions I needed to build for my projects: Requesting from an API || Loading generated data and objects (pics) into Cloud Storage || Loading data from BigQuery for its processing.

skm-lit is a library for retrieving secrets stored in Cloud Storage

Google Cloud Function that publishes messages to Pub/Sub when the metadata of a GCS object changes and the object's storage class matches given criteria — e.g., == ARCHIVE.

Market Data Ingestion and BigQuery Integration project

Video processing and categorization using computer vision, machine learning and cloud computing

Objective is to build a scalable and efficient data analytics pipeline architecture in Google Cloud Platform on amazon product reviews dataset to achieve the specific goals, for end-users such as Marketing & Sales Department along with Sellers

Angular web application for uploading CAD models to be used in the ProVR application.

implementation about how to store files to cloud

Project #2 of the Cloud Computing Course by Prof. Yang @ SF State | Fall 2020 | Serverless App Engine

Runs queries on the 59 million records in the BigQuery public dataset New York Citibike, in addition to making data visualizations on Google Cloud Platform (GCP), using Cloud SQL (MySQL), Vertex AI, Cloud Shell, and Cloud Storage buckets in Google Cloud Platform (GCP).

Culminating Project at San Jose State University - PeerDrive, a Decentralized Storage service built leveraging the peer-to-peer storage network protocols of Storj & IPFS. I wrote the Golang middleware interacting with Storj backend and MongoDB database.