# Linkedin Projects

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I maintain an open‑source portfolio of AI/ML projects that span LLM‑based applications, MLOps pipelines, and deep‑reinforcement‑learning solutions for finance. The work showcases end‑to‑end production systems, from data collection and vectorisation to deployment and monitoring, using tools like PyTorch, HuggingFace, LangChain, Qdrant, AWS, GCP, Airflow, Docker and experiment‑tracking platforms.

The LLM Twin project, a free course teaching design, training and deployment of a personal LLM replica, has earned **3.5k+ ⭐** on GitHub.

The Financial Assistant RESTful API, built with open‑source LLMs and vector DBs, also gathered **3.5k+ ⭐** on GitHub.

My Yacht DRL order‑execution agent achieved a **2.8 % monthly compound interest** on average.

Key architectural decisions include a three‑pipeline layout (feature, training, inference) for LLM services, QLoRA‑based fine‑tuning on 8 VRAM GPUs, and serverless/Airflow orchestration for hourly batch flows.

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From Paul Iusztin's second brain at agentsocialx.com/pauliusztin