👨🏻‍🎓 Education

🛠 Technical Skills

<aside> <img src="/icons/graduate_gray.svg" alt="/icons/graduate_gray.svg" width="40px" /> **Wesleyan University | Sep 2018 – May 2022

Major:** Computer Science Minor: Informatics & Modeling GPA: 4.00 / 4.00

Honors: Freeman Asian Scholarship, Phi Beta Kappa Honor Society, Michael Rice Prize in Computer Science

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<aside> <img src="/icons/snippet_gray.svg" alt="/icons/snippet_gray.svg" width="40px" /> Language: Java | Python | C# | C/C++ | JavaScript

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<aside> <img src="/icons/wrench_gray.svg" alt="/icons/wrench_gray.svg" width="40px" /> DevOps Tools: Docker | AWS Certified Developer - Associate | Git | Postman | Shell Scripting

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👨🏻‍💻 Work Experience

<aside> <img src="/icons/briefcase_gray.svg" alt="/icons/briefcase_gray.svg" width="40px" /> Software Engineer I | Amazon Web Service (AWS) | Sep 2022 - Present

<aside> <img src="/icons/info-alternate_gray.svg" alt="/icons/info-alternate_gray.svg" width="40px" /> I am working on AWS Lambda Control Plane Functions Team. I contributed to developing and maintaining Lambda Function CRUD APIs, including feature design, documentation, testing, release, and monitoring.

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Implemented, tested, and released Lambda function CRUD API support of IPv6 network protocol for outbound connections in VPC
Investigated work logs and implemented changes to improve regional CreateFunction API availability from 99.99% to 99.999%
Implemented code changes to improve resilience and completeness of resource reaping in DeleteFunction API workflow
Implemented changes to enable Lambda compliance of confused deputy security campaigns and produced risk analysis reports
Introduced, implemented, and tested dynamic rules of host failures detection based on fleet size and regional traffic
Troubleshot integration tests and canary tests of Lambda control plane features; launch various features in multiple regions
Participated in on-call and deployment rotations to address system alarms, deployment blockers, and customer reach outs
Created and updated documentation / internal wikis on existing design choices, facilitated onboarding of new team members </aside>

<aside> <img src="/icons/briefcase_gray.svg" alt="/icons/briefcase_gray.svg" width="40px" /> Software Engineer Intern | Microsoft Azure | June 2022.6 - Aug 2022

<aside> <img src="/icons/info-alternate_gray.svg" alt="/icons/info-alternate_gray.svg" width="40px" /> I worked on the Azure Resource Manager team, with a focus on the site reliability of the ARM service

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Redesigned a dashboard of Azure Resource Manager (ARM) to track service deployment status and worker instance health
Implemented dashboard frontend in React (optimized code to improve the frontend responsiveness) and backend APIs in C# .NET
Rearchitectured and simplified the dashboard authentication process; integrated it with Azure Key Vault to reduce time taken to

access ARM deployment status by 50% for on-call engineers
Participated in the creation of a full CI/CD pipeline for the dashboard service and deployed the dashboard in production </aside>

<aside> <img src="/icons/briefcase_gray.svg" alt="/icons/briefcase_gray.svg" width="40px" /> Software Engineer Intern | Jina AI | Jan 2022 - May 2022

<aside> <img src="/icons/info-alternate_gray.svg" alt="/icons/info-alternate_gray.svg" width="40px" /> Jina AI is a neural search company that creates deep learning frameworks for cloud-native multimedia search applications

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Engaged with and maintained product deployment pipeline on AWS using API Gateways, Lambda Functions, EC2, ECR and Amazon Batch
Designed and implemented monitoring / logging services for deployed products such Slack chatbots, API latency reports, and user onboard email notification using CloudWatch and SES
Write and configure unit tests and integrations tests for two products work streams; create and maintain CI/CD pipelines using Docker and GitHub Actions </aside>

<aside> <img src="/icons/briefcase_gray.svg" alt="/icons/briefcase_gray.svg" width="40px" /> Software Engineer Intern | Irys Inc | May 2020 – Aug 2020

Developed a RASA NLP chatbot to interact with 35,000+ Irys Inc users in the U.S. and Mexico to report city infrastructure issues
Configured REST APIs with Python for fetching chatbot training data and storing user-uploaded multimedia files in AWS S3
Containerized and deployed the chatbot on Facebook Messenger and WhatsApp using Docker </aside>

👨🏻‍💻 Research Experience

<aside> <img src="/icons/paste_gray.svg" alt="/icons/paste_gray.svg" width="40px" /> Research Engineer | Wesleyan University | Apr 2020 - May 2022

Research Focus: Building a computational understanding of the allosteric effect behind GPX4 protein mutations and exploring the drug design possibility as a potential approach to tackle Alzheimer’s Disease

Publication: Mutagenic Activation of Glutathione Peroxidase-4: Approaches toward Rational Design of Allosteric Drugs

Used high-performance computing clusters to perform molecular dynamics simulation on GPX4 protein variants
Applied K-means clustering, MD-Markov State Model, and other machine learning algorithms to analyze structural differences between GPX4 wild type protein system and that of its mutant variants
Created energetic networks of protein structures and devised a novel approach of examining protein allosteric effects via the shortest electrostatic pathways </aside>

<aside> <img src="/icons/paste_gray.svg" alt="/icons/paste_gray.svg" width="40px" /> Research Engineer | Privacy Tech Lab | Jun 2021 - May 2022

Research Focus: Designing Global Privacy Control (GPC) based active generalized privacy preference signal system for ad tracking

Publication: Generalizable Active Privacy Choice: Designing a Graphical User Interface for Global Privacy Control

PoPETs Proceedings — Generalizable Active Privacy Choice: Designing a Graphical User Interface for Global Privacy Control

Developed a Global Privacy Control (GPC) chromium-based browser extension which sends Do Not Sell (DNS) signals in the outgoing HTTP requests, allowing the users to opt out of domains sharing and selling personal information for ad purposes
Designed and implemented a NoSQL database schema for collecting user behavioral data interacting with the extension
Designed and built APIs for registering research users, collecting browsing fingerprints, and tracking 3rd party HTTP requests
Determined and implemented the architecture to automatically switch among different schemes to perform A/B testing and analyze feasibility of enforcing California Consumer Protection Act (CCPA) on the web
Led major code base refactoring and migration of browser extension to Manifest Version 3 (MV3) by updating to use service worker and new APIs </aside>

<aside> 💻 Research Engineer | Wesleyan University | Aug 2021 – May 2022

Research Focus: Devising generalized methods to extract characteristics of dynamic graphs, which support Q-value estimation of reinforcement learning based routing algorithms in multi-hop wireless mobile networks

Thesis: Predicting Delay Features in Dynamic Graphs Using Long Short-Term Memory (LSTM) Neural Networks

Designing and implementing deep recurrent (long short-term memory) neural networks to estimate meeting intervals between pairs source and destination nodes in mobile networks using decentralized local information
Conducting network simulations to evaluate and improve the accuracy of the neural network estimation </aside>

☎️ Contact

<aside> <img src="/icons/link_gray.svg" alt="/icons/link_gray.svg" width="40px" /> Email: [email protected] Github Profile: https://github.com/chunyuema LinkedIn Profile: chunyue-ma-7b944717a/ Personal Website: https://chunyuema.github.io/

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