Jinchen Ma of Beijing, China, has earned a Bachelor of Science in Computer Science with Highest Honors from the Georgia Institute of Technology in Atlanta. Ma was among approximately 4,435 undergra...
June, 07 2021 - Verified by Georgia Institute of TechnologyDesigned and implemented an automated metadata system for all 56791 internal software services within Amazon.
Learned and Built from scratch with AWS Data Pipeline, Redshift, AuroraDB, S3, Andes, Redash, and SQL. Explored and attempted AWS CDK, CloudFormation, Lambda, and Abacus API. Monitored with Couldwatch, Carnaval, and SNS.
Run time improved from 300 minutes (Beta) to 50 seconds (Production) with better accuracy than any existing applications.
Expanded the project scope from Last Mile Team (per requirement) to all teams within Amazon (extra feature).
Came up with an extra project to upgrade teams service monitoring system to cover all stages of all team-owned services.
Independently developed the system Multiscale Stroke-based Painterly Rendering by Evolutionary Algorithm (Python) that can render pictures to oil-paintings stroke by stroke according to the RGB Gradient Image and Convolutional Neural Network then convert to arscript data and render the painting in Arscript5.
Further optimized with Evolutionary Algorithm to create more aesthetic paintings with 36% better fitness values.
Wrote detailed and easily-understandable documentations for future maintaining and upgrading
Resulting output from the system can hardly be distinguished among man-made paintings, and satisfied corporations criteria of deploying the project into museums and galleries.
Independently developed GUI that shows real-time, visualized data from the solar racing car.
Developed MPPT (maximum power point tracer) Firmware using C to optimize battery charging power from solar-array using Incremental Conductance (InCond) and Perturb & Observe (P&O) algorithms.
Optimized charging power by 40%, prevented back-charging, and prepared car for American Solar Challenge 2020.
