# Linkedin Experience

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I am an AI Engineer, author, and educator based in Timișoara, Romania. Over more than a decade I have shipped 20 applications, written the Amazon bestseller *LLM Engineer’s Handbook*, run Decoding AI Magazine for a 160 k‑plus audience, and taught the Agent Engineering course at Towards AI. My career has focused on end‑to‑end AI product development, from data collection through production deployment, monitoring, and evaluation.

- Senior ML Engineer at BRAHMA AI (Jan 2024 – Sep 2024): reduced data‑curation latency by **‑88.7 %** and batch‑pipeline processing time by **‑62.5 %**, while cutting AWS cost by **‑52 %**.
- Senior ML Engineer at BRAHMA AI (May 2023 – Dec 2023): achieved a **‑62.5 %** reduction in batch‑pipeline time and a **‑52 %** reduction in AWS spend.
- ML Tech Lead at CoreAI (Dec 2022 – Jun 2023): built a real‑time recommender serving **> 100 k** users via Kafka Streams, Kotlin, and PyTorch.
- Founder/Member, Technical Staff – Decoding AI Magazine (Jun 2023 – Present): scaled RAG ingestion from 1 500 to **> 36 000** documents per hour.
- Senior ML Engineer at Everseen (Aug 2021 – Feb 2022): achieved **mAP 85 %** on 100 k retail images and a **‑50 %** inference speed‑up using Docker + ONNX + TensorRT.
- Junior ML Researcher at Continental (Nov 2019 – Oct 2020): reduced model memory usage by **‑40 %** through Dynamic Voxelization.
- Senior Software Engineer at Dorel (2022 – Present): introduced a unit‑test suite that **decreased development time by 20 %**.
- Master’s dissertation in ML: reinforcement‑learning order‑execution algorithm realized a **2.8 % monthly compound interest** on average.

My decisions consistently favor infrastructure‑as‑code, CI/CD, monitoring, and experiment tracking to improve latency, cost, and developer productivity across all projects.

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