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Full‑Stack Engineer with extensive experience building high‑performance, cloud‑native applications. Delivered a distributed e‑commerce platform serving 12k monthly shoppers with 99.97% uptime and an 18% checkout conversion increase, and created a GMP‑compliant audit‑log service that reduced latency to sub‑50 ms for scientific workflows. Proven ability to design secure, scalable microservices and implement CI/CD pipelines that cut rollback time and operational costs. Ready to leverage this expertise to drive robust, user‑centric solutions and accelerate product growth.…Full‑Stack Engineer with extensive experience building high‑performance, cloud‑native applications. Delivered a distributed e‑commerce platform serving 12k monthly shoppers with 99.97% uptime and an 18% checkout conversion increase, and created a GMP‑compliant audit‑log service that reduced latency to sub‑50 ms for scientific workflows. Proven ability to design secure, scalable microservices and implement CI/CD pipelines that cut rollback time and operational costs. Ready to leverage this expertise to drive robust, user‑centric solutions and accelerate product growth.

Jiacheng Liu

Full Stack Developer, Web Developer, Front-End Developer, +2

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Full‑Stack Engineer with extensive experience building high‑performance, cloud‑native applications. Delivered a distributed e‑commerce platform serving 12k monthly shoppers with 99.97% uptime and an 18% checkout conversion increase, and created a GMP‑compliant audit‑log service that reduced latency to sub‑50 ms for scientific workflows. Proven ability to design secure, scalable microservices and implement CI/CD pipelines that cut rollback time and operational costs. Ready to leverage this expertise to drive robust, user‑centric solutions and accelerate product growth.…Full‑Stack Engineer with extensive experience building high‑performance, cloud‑native applications. Delivered a distributed e‑commerce platform serving 12k monthly shoppers with 99.97% uptime and an 18% checkout conversion increase, and created a GMP‑compliant audit‑log service that reduced latency to sub‑50 ms for scientific workflows. Proven ability to design secure, scalable microservices and implement CI/CD pipelines that cut rollback time and operational costs. Ready to leverage this expertise to drive robust, user‑centric solutions and accelerate product growth.

Available to hire

Full‑Stack Engineer with extensive experience building high‑performance, cloud‑native applications. Delivered a distributed e‑commerce platform serving 12k monthly shoppers with 99.97% uptime and an 18% checkout conversion increase, and created a GMP‑compliant audit‑log service that reduced latency to sub‑50 ms for scientific workflows. Proven ability to design secure, scalable microservices and implement CI/CD pipelines that cut rollback time and operational costs. Ready to leverage this expertise to drive robust, user‑centric solutions and accelerate product growth.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

French

Intermediate

Spanish; Castilian

Advanced

Chinese

Advanced

Work Experience

Full Stack Engineer at JulySunFlowers

August 1, 2025 - Present

Supported 12,000 monthly active users with 99.97% uptime by designing and maintaining backend APIs using Go and Gin, with PostgreSQL as the primary database, and orchestrating data management workflows. Built stateless backend microservices, implemented PgBouncer for Postgres pooling, and leveraged Redis caching to sustain 650 requests per second with sub-180 ms p95 latency. Led end-to-end frontend development with Next.js, integrating Stripe Checkout and Firebase authentication to improve checkout flow and security. Implemented security-first controls (JWT rotation, rate limits, audit logs, webhooks) to reduce fraud and achieve SOC2-ready evidence. Enabled daily deployments through a fully automated CI/CD pipeline (Docker Compose, GitHub Actions) and performance testing (k6).

Full-Stack Software Engineer Intern at SuperstarsRemote

June 1, 2025 - September 1, 2025

Enhanced application reliability and user experience for final production release by refactoring and modularizing core authentication flows into reusable React components, ensuring frontend consistency and maintainability. Delivered fully responsive UIs across devices by implementing React components aligned with Figma designs for new landing and about pages. Improved security and reduced bot abuse by CAPTCHA integration and hardening backend OTP verification logic, addressing critical issues before launch. Increased codebase scalability by modularizing authentication logic and integrating backend APIs and frontend components for smoother onboarding.

Full-Stack Software Engineering Intern at ArsenalBioRemote

January 1, 2025 - June 1, 2025

Enhanced scientist workflow efficiency by 40% by building a React and TypeScript frontend with optimized API interactions for high-throughput screenings. Reduced backend API load by 60% by refactoring API usage from O(m) to O(n) and optimizing data aggregation. Delivered GMP-compliant audit logging with Go, React, and PostgreSQL to ensure data integrity and traceability. Improved deployment scalability by containerizing apps with Docker and deploying on AWS ECS Fargate, and achieved 100% unit-test coverage across frontend (Jest) and backend (Go tests).

Full-Stack Software Engineer Intern at Superstars

June 1, 2025 - September 1, 2025

Refactored and modularized core authentication flows into reusable React components to improve reliability and maintainability for the final production release. Built fully responsive UIs using React, achieving 100% design fidelity with Figma designs for the landing and about pages. Added CAPTCHA and hardened OTP verification to protect against bot abuse, and optimized backend API logic to resolve critical pre-launch errors. Transformed monolithic authentication logic into modular end-to-end flows for scalable onboarding. Supported backend and database tasks, troubleshooting API endpoints, and assisting with PostgreSQL integration for secure data management.

Full-Stack Software Engineering Intern at ArsenalBio

January 1, 2025 - June 1, 2025

Enhanced scientist workflow efficiency by 40% by building a React + TypeScript frontend with optimized API interactions, enabling intuitive plate-well selection and bulk operations during high-throughput screenings. Reduced backend API request load by 60% by refactoring API usage from O(m) to O(n), minimizing redundant calls to PostgreSQL. Delivered GMP-compliant audit logging via end-to-end Audit Log solution using Go for backend services, React for frontend UI, and PostgreSQL for robust data management. Improved deployment scalability and reliability by containerizing with Docker and docker-compose on AWS ECS Fargate. Achieved 100% unit-test coverage across stack using Jest for React UI and Go tests for backend API endpoints, ensuring robust frontend and backend performance.

Co-Founder and Full Stack Developer at AniClips

October 1, 2024 - Present

Achieved scalable user engagement with zero downtime during traffic surges by architecting an end-to-end backend using Spring Boot, integrating API endpoints and optimizing database operations for high throughput and reliability. Enabled seamless video streaming for over 10,000 daily active users during launch by designing a robust frontend with SwiftUI and building a modular architecture to facilitate future integration of React for cross-platform scalability. Reduced database latency by 40% for globally replicated video content and user profiles by optimizing backend data models and query structures, preparing for future migration to Postgres for enhanced relational database management and analytics capabilities. Streamlined content moderation and recommendation workflows by researching and prototyping machine learning pipelines for video content classification and moderation, laying the foundation for AI-driven user experiences. Enhanced system reliability and future extensibility b

Founder and Full Stack Developer at Polaris

January 1, 2025 - Present

Unified access to multiple large-language-model vendors via a single REST API by designing and implementing an end-to-end backend using FastAPI, streamlining AI integrations for developers. Reduced integration complexity for AI-driven applications by developing a robust frontend interface with React, enabling real-time monitoring of API usage, cost, and metadata. Enhanced data tracking and cost transparency for AI usage by integrating Postgres as the primary database to store per-thread metadata, token usage, and cost data. Streamlined retrieval-augmented generation (RAG) processes by implementing prompt multiplication with retrieved vector chunks, leveraging machine learning for optimized model responses. Standardized API responses across various large-language-model providers by engineering backend and frontend systems for uniformity, ensuring reliability and ease of integration.