- ποΈ Building production AI systems with observability, reliability, and performance at scale.
- π Author of Prompt Engineering for LLMs (O'Reilly).
- π¨βπ« Taught 306K+ developers and delivered 45+ bootcamps on AI/ML and software engineering.
- π§ Specializing in LLM engineering, RAG systems, fine-tuning, and full-stack development.
- πΌ Open to opportunities in AI/ML infrastructure and engineering roles.
- π¬ Ask me about: production AI systems, LLM engineering, and scaling ML infrastructure.
- π« How to reach me: jamesaphoenix@googlemail.com.
π―
Building the future
AI Infrastructure Engineer | O'Reilly Author | Building production AI systems that work at scale, not demos that break under load.
-
Just Understanding Data LTD
- High Wycombe
- https://understandingdata.com
- @jamesaphoenix12
- in/jamesphoenix
- channel/UCLKL6bVqM1WM8VJavfokGSg
- jamesaphoenix
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Python_For_SEO
Python_For_SEO PublicA 16-Part Free Course Demonstrating All Of The Different Ways That You Can Use Python To Improve Your SEO Processes.
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banking_script.py
banking_script.py 1import os
2import uuid
3from typing import List
45import requests
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Click_Through_Rate_Optimization_Google_Search_Console
Click_Through_Rate_Optimization_Google_Search_Console PublicThis is a small, mini-project where I created a simple machine learning model to predict the click through rate of a given URL (web page) using Python + sci-kit learn.
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Google_My_Business_Python_Prospector
Google_My_Business_Python_Prospector PublicThis was a mini-project and was inspired by a friend of mine needing to prospect for clients that didn't have an active Google My Business page.
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