• Cleaned and analyzed non-profit data with Python using PANDAS library on Jupyter Notebooks through Anaconda across multiple markets

• Built Looker dashboard to visualize core business KPIs (e.g. Monthly Referrals)

• Supported sales teams with demos, communicating technical concepts to non-technical audiences

• Acted as bridge between sales, product, engineering, and professional service

• Product developed under tech accelerator OS Labs (opensourcelabs.io)

• Implemented Next.js for faster load time and integrated built-in tools, better code readability and therefore improved project management

• Migrated from JavaScript to TypeScript to develop the tool with strong, static typing for a more maintainable, scalable code base with less bugs

• Utilized Tailwind for component level styling for easy readability

• Implemented CodeMirror 6 as a text editor within the app for its performant and extensibility features, modular aspects and slim core

• Created video and image uploading feature using GraphQL and GraphQL codegen in Typescript and React Hook Form across micro frontend (FE) architecture, optimizing data fetching process

• Conduct code reviews and provided feedback for production code for 3 engineers

• Mentored 15 software engineers across 3 projects using AGILE/SCRUM stand-ups to keep on track with sprints

• Trained software engineers in core web technologies including JavaScript, React, Node, Express, Postgres, NoSQL, Data Structures & Algorithms through white boarding sessions, one-on-one code review and lectures

• Incorporated Redis for caching, resulting in more performant API/server calls, reduced total calls & faster load time by 50% after the first visit

• Utilized NoSQL database to support rapid iterative development and flexibility for evolving data models

• Stored files on AWS S3 to manage documents for scalability and high durability

• Used Socket.io for interactive communication between multiple users due to its ability to add an abstracted layer making it more developer friendly