Machine Learning Engineer
I’m Tiiso Letsapa, a Data Engineer & AI Engineer with over 3 years of hands-on experience building production-grade, real-time data systems that process millions of records daily — all while keeping costs ridiculously low (think pipelines running at under $0.10/month with 99.5%+ uptime). What makes me unique? I’m the guy who treats every rand like it’s my own. I’ve consistently slashed operational costs by 30–85% through clever serverless architectures (AWS Lambda, Kinesis, Step Functions, Glue, SageMaker) without ever compromising reliability. I love turning messy, high-velocity data — whether it’s IoT sensors, crypto ticks, F1 telemetry, or medical images — into clean, actionable insights with rock-solid monitoring and near-zero error rates. I’m equally comfortable deep in the trenches of ETL/MLOps as I am training CNNs for medical imaging (ResNet50, Grad-CAM, synthetic data gen) or hitting 90% accuracy predicting Formula 1 race winners with XGBoost. My projects aren’t just prototypes — they’re fully deployed, monitored, cost-optimized, and often open-source on GitHub. Currently I’m looking for a full-time Data Engineer, MLOps Engineer, or Machine Learning Engineer role (mid/senior level) anywhere. I can design and own end-to-end data platforms, real-time pipelines, or AI-powered products that actually move the bottom line. Tech I live in daily: Python, SQL, TypeScript, AWS , Airflow, Docker, TensorFlow/Keras, XGBoost, React when needed, and a serious obsession with clean, scalable, cost-effective systems. If you need someone who ships fast, optimizes harder, and can explain complex pipelines to both engineers and executives — let’s talk!
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