James Kelly
@jameskelly
Senior software engineer building high-scale web apps and production LLM systems.
What I'm looking for
I’m a senior software engineer with 8 years of experience at Apple, where I’ve designed and delivered high-scale web apps, internal tools, and developer platforms. I focus on full-stack development and production-ready integration of LLMs, with a strong track record of improving developer velocity and reducing latency.
In my recent work, I led real-time matchmaking and live leaderboard experiences, using React/TypeScript with Node.js and backend Go services backed by PostgreSQL and Redis—reducing QA debug time by 35%. I also fine-tuned Llama 3 8B to summarize server logs, cutting MTTR from 20 to 4 minutes in controlled testing.
I’ve also driven portal and platform modernization, rewriting the App Store web experience with Next.js/TypeScript to reach Lighthouse 98+ performance via ISR, code splitting, and lazy loading. Beyond traditional web work, I built retrieval-augmented generation systems (Python/FastAPI and React with Milvus/Redis) deployed as a Slack bot and web UI—serving 2,000+ queries per week and estimated to save 150 engineering hours monthly.
Experience
Work history, roles, and key accomplishments
Led high-scale web and internal ML tooling for Apple’s Games System and App Store teams, delivering real-time dashboards and portals that achieved Lighthouse 98+ performance, reduced QA debug time 35%, and improved load times from 3.2s to 0.9s. Integrated production LLM and RAG pipelines (Llama 3, CodeLlama, BERT) to cut MTTR from 20 to 4 minutes and reduce hallucinations from 18% to 4%, serving 2
Education
Degrees, certifications, and relevant coursework
Rochester Institute of Technology
Master of Science in Computer Science, Computer Science
2016 - 2018
Earned an M.S. in Computer Science at Rochester Institute of Technology (2016–2018).
Rochester Institute of Technology
Bachelor of Science in Computer Science, Computer Science
2012 - 2016
Earned a B.S. in Computer Science at Rochester Institute of Technology (2012–2016).
Tech stack
Software and tools used professionally
OpenAPI
RAML
JDA
GitHub
GitLab
Kubernetes
GitHub Actions
GitLab CI
Salesforce
PostGIS
PostgreSQL
Shopify
Gmail
Node.js
Spring Boot
Ruby on Rails
Next.js
Neo4j
Redis
Terraform
Webpack
JavaScript
Java
Kotlin
Objective-C
HAProxy
PyTorch
FastAPI
Crossplane
Linux
Windows
Gemini
Milvus
Webflow
pytest
JUnit
SQL
Google Kubernetes Engine
Hugging Face
LangChain
Pinecone
Cursor
Score
GitHub Copilot
ONNX Runtime
Bash
Transform
Middleware
Core ML
Objective
ChatGPT
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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