The Hidden Complexity of Real-Time AI: Beyond Theory and Training

While machine learning education emphasizes model architecture, real-world implementation demands deep expertise in data pipeline engineering and optimization. This internship account exposes how the journey from theoretical knowledge to working prototype often involves more infrastructure challenges than algorithmic innovation—a gap that AI educators and industry practitioners rarely acknowledge openly.