• Developed a customer relationship management platform (CRM) using Node.js and Firebase to reduce the overhead cost by 80%

• Designed and developed a scheduling board to connect players with coaches and increased individual profits of the coaches by 30%

• Built a messaging platform for the players to communicate with each other and schedule practices using Typescript.

• Implemented authentication functions in Firebase/Firestore to manage user access and data security within the platform, ensuring streamlined integration with the backend and consistent user authentication across the application.

• Implemented CI/CD pipelines using GitHub and Firebase Deploy, enabling automated and efficient deployment processes with continuous integration and delivery.

• Developed and maintained 7 different metrics that measure the developers' productivity to identify the bottlenecks in the workflow using Golang, PostgreSQL, and Superset.

• Built a solution that reverts the deployment of the services through a slack command reducing the time to rollback by 30 minutes using Golang and SlackAPI

• Developed a script that drove the adoption of the internal tool from 10% to 100% by creating new pull requests in every project using Bash, Python, and GithubAPI

• Collaborated with cross-functional teams to migrate the existing systems from Digital Ocean to AWS using Terraform, Kubernetes, Docker, and Bash.

• Developed a micro-service that checks for compliance checks for all projects in the company and notifies teams that need to be compliant using HTML, CSS, JavaScript, React, and Golang.

• Made the ETL process more cost-effective by using AWS Lambda serverless functions to be triggered on object insertion in an S3 bucket and converted the data into parquet format to reduce the training time for the model and saved 3000$ dollars in the form of compute resources and storage space.

• Enhanced the data quality for the NLP models by gathering social media data and extracted keywords to enhance the prediction power by 15% using Python, Numpy, Pandas, Matplotlib, NLTK and TwitterAPI

• Extracted product data from Amazon's best-selling ranks to find the critical characteristics of the products to analyze and visualize the consumer trends by using Beautifulsoup4 and selenium

• Developed a web application that identifies skin cancer using pre-trained models from IBM API using HTML, CSS, Flask, and Python

• As a tech lead of the Google DSC, my main responsibility is to

bridge the gap between theory and practical knowledge by

providing hands-on experience to students and developers.

• Built a full-stack application tutorial to teach students the full life

cycle of a web application using HTML, CSS, JavaScript, and GCP.

• Hosted several workshops, study sessions, and tutorials on

React.js, Node.js, Firebase, and Google Cloud Platform.

Designed and implemented 10 different multiplayer augmented reality (AR) games that can be played on both apple and android using Unity and React Native