• Build a shopping cart feature that fetch the local restaurant menu via REST API, rank the food item within the menu based on the nutrition information, and allow the user to place the order which later is post to the middleware. This significantly helps to increase the rate of placing and managing the restaurant order by 80% and provide the full nutrition information to the user• Improve the accuracy of exercising and sleeping related sensor data including sleep time, heart rate, move minute, steps, distance, etc. by fetching the data from google fit which helps to increase precision of calculating the app health scoring systems by from 10% to 90% accuracy• Implement the login and onboarding process by using the AWS Cognito and Dynamo DB which helps reducing the login progress time from 5 minutes to 2 minutes and increasing the rate of posting and retrieving user personal data, including, phone number, name, age, height, weight, etc. by 80%.

• Build product test requirements and integrate automated test results using Python and Visual Basic that prevented 80% of errors from being deployed to production• Improve financial document processing time by 1.4x for 25k customers by enhancing data models of existing information management systems using UML diagrams and SQL• Improve automatic business name categorization from bank statement’s descriptions using pattern matching framework increased accuracy, and reduced sorting time from 2 hours to under 10 seconds

• Revamped mobile and desktop user login flow by simplifying and improving UIs design using HTML and CSS which boosted up monthly new user acquisition by 12%• Delivered weekly bug reports, assisted in documentation of customer expectations, and communicated with team in a timely manner to increase customer satisfaction

• Performed basic customer assistance-related tasks; for instance, helping packaging customers merchandise, answering customer questions through phone, and advising customers with the best plan for the delivery service