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Senior AI Engineer • Founder @ Decoding AI • Author @ LLM Engineer’s Handbook ~ I ship AI products and teach you about the process.
hands-on-llms. 🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
3.4kenergy-forecasting. 🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
980designing-real-world-ai-agents-workshop. Hands-on workshop: Build a multi-agent AI system from scratch — Deep Research Agent + Writing Workflow served as MCP servers. Includes code, slides, and video
481squid. The Software Factory
179ai-research-os-workshop. How to turn your Second Brain into a living research memory that your agents maintain. Workshop with slides, video and code.
159yacht. Order execution in the financial markets using Deep Reinforcement Learning.
16LLM-engineer-handbook. A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.
15distributed-churn-prediction. End-to-end customer churn prediction pipeline using Spark.
11machine-learning-blog. Implementation of various Machine learning and MLOps applications/tutorials used within my Medium blog.
11agentic-ai-engineering-course-data. Public data for the Agentic AI Engineering course
10portfolio-management. Financial portfolio management using Deep Reinforcement Learning.
6VectorHub. VectorHub is a free, open-source learning website for people (software developers to senior ML architects) interested in adding vector retrieval to their ML stack.
4IusztinPaul.
2airbnb-data-analysis. Airbnb data analysis on the biggest cities in The Netherlands following the CRISP-DM methodology.
2disaster-response-classification. End-to-end solution for classifying multi-target disaster response messages using Machine Learning and NLP.
2evernote-html-graphics. A parser that extracts data from an html exported from Evernote and makes visual representation of that data.
1python-project-template. Shell
1economic_crisis_2020. Jupyter Notebook
1ibm-assets-recommendation-engine. Deployable recommendation system for predicting the fittest IBM articles for a given user.
1financial-portfolio-aggregator. Python
1karen-aiohttp-backend. Drone Garbage Object Detector with Deep Learning
1AWS-lambdas-chat-api. Jupyter Notebook
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