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Freelancer Overview
Moses Echeofun Itodo is a Mechatronics Engineer with 3 years of data labeling and AI training experience, skilled in Python, C/C++, JavaScript, MQL4/MQL5, and embedded systems development using ESP32. He built a fully agentic MT4/MT5 algorithmic trading bot (v1.0 to v4.0) integrating live news feeds, Smart Money Concepts methodology, and dynamic risk management, alongside an LLM-powered Progressive Web App for multi-timeframe chart analysis with a self-improving trade journal. As lead engineer on his Final Year Project, he designed a solar-powered milk pasteurizer with full IoT integration, PID temperature control, real-time sensor fusion, and automated pasteurization cycle management validated against microbial benchmarks. He also contributed to a YOLOv6 computer vision model for tomato disease detection, running controlled experiments across five learning rates and documenting quantitative performance metrics. His experience spans agentic workflow design, multi-agent orchestration, RAG pipelines, RLHF preference data generation, LLM output evaluation, PLC programming, and cloud infrastructure across AWS, GCP, and Docker.