Martin Li

Software Engineer II · Full-Stack · Java · Spring Boot · React · AWS · AI/ML

Plano, TX simplisticmartin@gmail.com simplisticmartin.github.io linkedin.com/in/simplisticmartin github.com/simplisticmartin

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Summary

Full-stack Software Engineer with 5+ years building enterprise financial microservices in Java, Spring, Spring Boot, React, TypeScript, and SQL Server on AWS. Strong across the full software development life cycle, Agile, CI/CD, application resiliency, and security, with a track record in modernization, fund and portfolio tooling, and SRE monitoring. Georgia Tech M.S. in Computer Science (Artificial Intelligence), AWS Certified Cloud Practitioner, and a policy-aware user of AI coding assistants (GitHub Copilot, Claude Code, Cursor).

Skills

Languages
Java, Python, TypeScript, JavaScript, SQL, Bash, HTML/CSS
Backend
Java, Spring, Spring Boot, Moneta Boot, Microservices, REST APIs, OpenAPI/Swagger, JUnit, Mockito, Liquibase
Frontend
React, Redux, Redux-Saga, React Query, Jest, React Testing Library, ag-Grid, styled-components
Cloud & SRE
AWS, Kubernetes, Cloud Foundry, Docker, CI/CD, AutoSys, Linux, monitoring & alerting
Data & AI
MS SQL Server, Oracle SQL, MongoDB, Spark, scikit-learn, Jupyter, machine learning, LLMs (llama.rn)
Practices
Agile/Scrum, CI/CD (Jenkins), application resiliency, application security, automated testing, responsible AI use

Experience

JPMorgan Chase & Co. — Software Engineer II

Jul 2022 – Present

Plano, TX

  • Shipped fund-onboarding, due-diligence, and factsheet tools plus a portfolio-management toolkit used by portfolio managers and clients, built full-stack in React/TypeScript and Java/Spring Boot microservices (Moneta Boot) on Microsoft SQL Server.
  • Own SRE, observability, and application resiliency for a 30+ application team portfolio, authoring AutoSys schedules and alerting that catch failures before users and safeguard release reliability across production workflows.
  • Cut deployment time up to 40% by modernizing legacy services to the latest Spring Boot/Moneta Boot and containerizing delivery on Kubernetes, Cloud Foundry, AWS, and Docker with Jenkins CI/CD.
  • Gave portfolio managers self-service access to fund initialization, restriction, and reporting workflows by building REST APIs, fund-data dashboards, and internal web tools.
  • Accelerated onboarding of new funds with Liquibase-managed schema changes and tuned SQL Server queries, cutting manual setup and configuration errors.
  • Built reusable React components and data grids (Redux/Redux-Saga, React Query, ag-Grid) with Jest, RTL, JUnit, and Mockito coverage; use AI coding assistants (Copilot, Claude Code, Cursor) within firm policy to speed refactoring, testing, and review.

Ouicruit — Software Engineer Consultant

Dec 2021 – Jun 2022

Remote

  • Modernized Java/SQL API services with OpenAPI/Swagger, stronger validation, REST improvements, CI hardening, and expanded test coverage; improved median API latency by about 30%.

Oppenheimer & Co. — Linux Consultant

Dec 2020 – Jun 2021

New York, NY

  • Automated secure 6–15 GB weekly financial file transfers using Linux, Bash, GPG, and scheduled jobs, reducing transfer errors by 25% and supporting 99.9% data integrity.

Federal Home Loan Bank — Software Engineer Intern

2019

Jersey City, NJ

  • Built a QA data-visualization dashboard that reduced outsourced reporting costs by 15% and streamlined recurring reporting workflows.

Projects

ClearSpeak — AI Speech Coach (React Native)

  • Cross-platform mobile app with an on-device LLM (llama.rn) and speech-to-text (whisper.rn) for real-time feedback — filler detection, live coaching, and progress analytics; TypeScript, Expo, Zustand.

ML Model Optimization

  • Python, scikit-learn, neural networks, and randomized optimization; compared backpropagation, genetic algorithms, and MIMIC for heart-disease classification, reaching about 0.945 accuracy.

Education, Certifications & Awards

Georgia Institute of Technology — M.S., Computer Science (Artificial Intelligence)

May 2026 · GPA 3.6

Coursework: Machine Learning; Artificial Intelligence; ML for Trading; Data & Visual Analytics; AI, Ethics & Society

The City College of New York — B.S., Computer Science

2020

AWS Certified Cloud Practitioner

Nov 2022

Awards

  • 1st Place — Cornell University Data Science Hackathon
  • 1st Place — Heroes vs Hackers Hackathon
  • Best Website Hack — Columbia Health Hacks

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