Xinny (Yixin) Lao

Product Engineer

Boston, Massachusetts, United States3 yrs 8 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Strong foundation in cryptography and distributed systems.
Experience with high-impact projects at Google.
Proven ability to analyze and present complex data.

Stackforce AI infers this person is a Software Engineer with a focus on Cryptography and Distributed Systems in the Tech industry.

Contact

Skills

Core Skills

CryptographyQuantum ComputingNetwork SecurityInformation TechnologyComputer SystemsDistributed SystemsStatistical Data AnalysisGame TheoryLinear ProgrammingData PipelinesDistributed ComputingApplication Programming Interfaces (api)Android DevelopmentInfrastructureC++React.jsPostgresqlJavascript

Other Skills

Computational ComplexityPrint ManagementComputer ArchitectureOptimizationFlumeJavaKotlinProtocol BuffersNetlifyNext.jsPrisma ORMTypeScriptLattice Based CryptographyPublic Key CryptographyPost Quantum CryptographyPrompt Engineering

About

Hi, I'm Xinny 👋 Here's a little self intro: 📚 I am a student at Boston University majoring in math, computer science, and economics 🌏 I want to work on innovative and impactful projects 💻 I'm interested in learning more about complexity theory and distributed systems 🛠️ I'm always open to connections (📸 I also do casual photography for fun! Check out my portfolio here: xinnylao.github.io)

Experience

3 yrs 8 mos

Total Experience

3 yrs 8 mos

Average Tenure

Current Experience

Boston university

2 roles

Department of Mathematics Undergraduate Student Researcher

Promoted

Sep 2025 – May 2026 · 8 mos · On-site

Studied post-quantum cryptography algorithms published by NIST
Evaluated the mathematical foundations to understand the hardness of the algorithms, such as worst case lattices (SVP and CVP), module learning with error, and short integer solutions
Formulated a research paper to summarize the post-quantum algorithms and rank them in terms of efficiency and effectiveness in various scenarios
Oral dissertation defense in committee

Quantum ComputingCryptographyComputational Complexity

Computer Science Grader

Sep 2024 – Dec 2025 · 1 yr 3 mos · On-site

Graded for CS 350: Fundamentals of Computing Systems
Graded for CS 351: Distributed Systems
Graded for CS 392: Computer and Memory Architectures
Responsible for homework, exams, giving feedback, and responding to regrade requests

Computer SystemsDistributed SystemsComputer Architecture

Google

Software Engineering Intern

May 2025 – Aug 2025 · 3 mos · Mountain View, California, United States · Hybrid

Designed and implemented enhancements to YouTube TV analytics Flume (MapReduce) pipelines using Java, addressing gaps in event metadata and allowing internal and external partners to better understand their content audience
Automated pipeline execution using an internal scheduler (Borg) and a workflow management system (Zugzug) to process daily viewership data and build a historical record of content performance
Conducted thorough validation of the updated metadata tables using SQL queries to verify data accuracy and integrity
Established a ground truth for top 1% of content by aggregating historical viewership data and defining numerical thresholds for watch time, which serves as a benchmark for evaluating content prediction models

FlumeJavaData PipelinesDistributed Computing

Google

2 roles

Software Engineering Intern

May 2024 – Aug 2024 · 3 mos · San Jose, California, United States · Hybrid

Developed internal Application Programming Interface (API) for Google Dialer’s Next Generation Call Screen that allows Dual-Tone Multi-Frequency tones to be played in auto-screening mode
Implemented using Java & Kotlin to integrate into several existing features within Google Dialer, also includes gathering requirements, handling concurrency, monitoring incremental rollouts, and comparing user metrics
Collaborated with Google AI team to direct application response to backend ML model messages, improving user experience for >1 billion users

Application Programming Interfaces (API)KotlinAndroid Development

Software Engineering Intern

May 2023 – Aug 2023 · 3 mos · Mountain View, California, United States · Hybrid

Consolidated request signal handling using C++ and Protocol Buffers, reducing function call overhead and improving maintainability across the Google Ads production codebase
Refactored redundant C++ layers in the creative fulfillment event URL generation pipeline, optimizing processing for 500 billion daily display ad queries
Improved code structure and logic within the global Content Ads Targeting system

C++Protocol BuffersInfrastructure

Bu spark!

Software Engineer

Jan 2023 – May 2023 · 4 mos · Boston, Massachusetts, United States · On-site

Contributed to Boston Police Index, a website that presents police and crime data analytics
Built early stages of the website with React, PostgreSQL, and Prisma ORM, hosted using Netlify
Interviewed stakeholders and referenced user stories to design the look and functionality of the index

NetlifyPostgreSQLNext.jsPrisma ORMReact.jsTypeScript

Boston university

3 roles

IT Support Specialist

Sep 2022 – May 2026 · 3 yrs 8 mos · On-site

• Maintained security measures for university-managed devices and resolved tech issues, supporting all students, faculty, staff, and alumni

Network SecurityInformation TechnologyPrint Management

Student Government Statistician

Sep 2022 – May 2023 · 8 mos · On-site

• Analyzed Student Goverment surveys issued to over 20k students and compiled statistical analysis reports, which were subsequently shared with the Provost of Boston University

Statistical Data Analysis

Department of Mathematics Undergraduate Student Researcher

Sep 2022 – Jan 2023 · 4 mos · On-site

Studied mathematical proofs of game theory on the basis of linear algebra
Modeled the social deduction game, Among Us, as a repeated game
Derived an optimal strategy to play Among Us using game theory and linear programming
Presented research findings

Game TheoryLinear ProgrammingOptimization

Shooting stars foundation

Tech Immersion Intern

Jul 2022 – Aug 2022 · 1 mo · Bethesda, Maryland, United States · Remote

Formulated a business plan centered around advocacy-based clothing for women, and presented elevator pitches to judges
Developed website utilizing JavaScript, conducted budgetary analysis

JavaScript

Technica

Technica Fellow @ University of Maryland

Jul 2022 – Aug 2022 · 1 mo · College Park, Maryland, United States · Remote

Coded a bubble tea review website using JavaScript, HTML & CSS
Collaborating with other developers on Github
Attended workshops on cybersecurity, machine learning, and entrepreneurship

JavaScript

The maryland general assembly

Student Page

Feb 2022 – Apr 2022 · 2 mos · Annapolis, MD · Hybrid

• Conducted research on the ghost gun bill under Senator Susan Lee and engaged in Senate floor and committee hearings, contributing to the successful passage of the bill through the Senate