I’m a full-stack software engineer currently completing my M.S. in Computer Engineering at NYU Tandon, with a strong foundation in systems architecture and modern AI-driven application development. I specialize in building scalable, production-ready web applications using React, Next.js, and backend services such as Supabase, AWS, and serverless architectures. I’ve led end-to-end development of projects like RavePulse, a music event discovery platform integrating Spotify APIs and real-time data pipelines, and NetGPT, an AI-powered expert discovery system leveraging embeddings and semantic search. With hands-on experience across frontend engineering, backend integration, database design, and automation workflows, I focus on writing clean, maintainable code and delivering polished products under tight timelines. I thrive in fast-paced, remote environments where ownership, accountability, and technical excellence matter.

Yiru Chen

I’m a full-stack software engineer currently completing my M.S. in Computer Engineering at NYU Tandon, with a strong foundation in systems architecture and modern AI-driven application development. I specialize in building scalable, production-ready web applications using React, Next.js, and backend services such as Supabase, AWS, and serverless architectures. I’ve led end-to-end development of projects like RavePulse, a music event discovery platform integrating Spotify APIs and real-time data pipelines, and NetGPT, an AI-powered expert discovery system leveraging embeddings and semantic search. With hands-on experience across frontend engineering, backend integration, database design, and automation workflows, I focus on writing clean, maintainable code and delivering polished products under tight timelines. I thrive in fast-paced, remote environments where ownership, accountability, and technical excellence matter.

Available to hire

I’m a full-stack software engineer currently completing my M.S. in Computer Engineering at NYU Tandon, with a strong foundation in systems architecture and modern AI-driven application development. I specialize in building scalable, production-ready web applications using React, Next.js, and backend services such as Supabase, AWS, and serverless architectures. I’ve led end-to-end development of projects like RavePulse, a music event discovery platform integrating Spotify APIs and real-time data pipelines, and NetGPT, an AI-powered expert discovery system leveraging embeddings and semantic search. With hands-on experience across frontend engineering, backend integration, database design, and automation workflows, I focus on writing clean, maintainable code and delivering polished products under tight timelines. I thrive in fast-paced, remote environments where ownership, accountability, and technical excellence matter.

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Experience Level

Expert
Expert
Expert
Expert
Intermediate

Work Experience

Software Engineer Intern, AI at Chinchilla AI
August 1, 2025 - Present
Built and deployed production-grade FastAPI microservices wrapping Claude API calls for automated code generation, with async endpoints, Pydantic validation, and Redis caching to cut redundant inferences by ~30%. Designed and implemented a CI/CD pipeline (GitHub Actions + Docker + AWS ECS) with automated pytest + coverage tests and rolling deployments, reducing release cycles from ~3 days to <12 hours. Developed interactive React/TypeScript dashboards for real-time monitoring of code-gen jobs and internal tool usage. Prototyped an agentic AI system coordinating autonomous LLM agents for planning, tool use, and multi-step workflows.
Software Engineer Intern (Python, Typescript) at Beta University
March 1, 2025 - June 1, 2025
Automated end-to-end news aggregation and publishing using Python Flask backend, Typescript/React frontend, OpenAI, and NewsAPI, driving 400% lift in weekly traffic and reducing a 5-hour daily workflow to 25 minutes. Designed and deployed NetGPT, a four-quadrant conversational agent classifying user intent and recommending experts from a 10k-row CSV, achieving a match score of 0.84 with fine-tuned LLM optimizations. Developed a LinkedIn contact-enrichment pipeline processing 5000+ profiles with RocketReach and Hunter.io for email validation, achieving 97% deliverability and accelerating outreach campaigns by 60%. Conducted reliability study of Gmail drip-campaign integrations and published best-practice guidelines for marketing.
Embedded Hardware Development Intern at Heidelberg Graphics Equipment
June 1, 2023 - September 1, 2023
Optimized motor loops in MATLAB/Simulink & C, boosting speed from 180 to 215 spm and reducing platen heat by 12°C. Modeled power rails in LTspice, eliminating ground-bounce and maintaining 12h uptime at 150% load.

Education

Master of Science at New York University, Tandon School of Engineering
January 11, 2030 - May 1, 2025
Bachelor of Science at University of California, San Diego
January 11, 2030 - June 1, 2023

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet