AS a software engineer passionate about building scalable, high-performance systems and crafting elegant solutions to complex backend challenges. I thrive on optimizing data pipelines, designing robust APIs, and diving deep into distributed systems where every millisecond and byte counts. My unique engineering interest lies at the intersection of infrastructure efficiency and developer tooling, where I can turn intricate architectural bottlenecks into seamless, automated workflows.

• 🔭 Current Focus: I am actively developing an ML-powered security engine designed to detect and prevent account takeover (ATO) fraud on real estate platforms. My focus is on engineering low-latency data pipelines that can ingest behavioral signals in real time, allowing the machine learning models to catch anomalous login patterns and unauthorized actions before any damage is done.
• 🌱 Learning & Exploration: On the learning front, I am currently diving deep into advanced machine learning workflows, specifically anomaly detection algorithms and feature engineering for real-time streaming data. To support the heavy infrastructure demands of my fraud detection project, I am also exploring distributed event-streaming platforms like Apache Kafka and sharpening my skills in Go (Golang) to build faster, highly concurrent microservices.
• ⚡ Core Interests: Cybersecurity, Machine Learning, Distributed Systems

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• 💼 Professional Network: https://www.linkedin.com/in/wesley-mutisya-ab4914417
• 📧 Direct Contact: wesley.mutisya@strathmore.edu