• Architectured a Scoring System in Flask, React, and PostgreSQL that Utilized AI and API calls to score prospects based on our client’s Ideal Customer Profile Fit, allowing them to contact high-value and potential prospects, and increasing Acceptance rate by 30%

• Initiated the migration from local storage for Server State to using React Query for Server State Management, reducing server syncing issues by 60% and load times by 80% through caching implementations, and Database Indexing

• Optimized Spring backend endpoints by replacing synchronized API calls to external services with Kotlin Coroutines, resulting in a 52% decrease in time taken for requests

• Testing code changes and API calls with libraries such as Mockito and Mockk, as well as creating automated Python scripts to test Kafka producers and consumers between microservices

• Wrote comprehensive documentation of existing and new features of code base, allowing future repetitive and complicated work to be automated and comprehensible

• Developing AWS Services including Appsync, Opensearch, and writing GraphQL queries and resolvers to create a backend-for-frontend system for faster development and lower latency processes

• Implemented backend service using Ruby on Rails, and frontend service using React and Remix.

• Developed an algorithmic visualization project that uses React, FastAPI and external requests to grab items and schedule them with considerations of different parameters and conditions, saved 8 combined hours of scheduling per week

• Collaborated in the creation of an OpenCV program that detects bacterial colonies, and assisted in development of a Python server for communication between machines

• Developed Python scripts and internal automation tools for scientists, such as data entries, manipulation and calculation, which reduces manual workloads by 20% a week

• teaching Assistant for Undergraduate Algorithms Course

• Graded and assisted over 50 students taking the class over the summer