Aare Yashwanth

I am a Machine Learning Engineer and Data Scientist experienced in building production ML pipelines, deploying models, and delivering data products that drive measurable business value. I have implemented demand-forecasting and inventory-optimization solutions that reduced holding costs by 15% and lowered stockouts by 10%.

My technical strengths include model development with PyTorch and TensorFlow, feature engineering, NLP, computer vision, and end-to-end deployment using Python and scikit-learn. I design robust ETL pipelines, retraining workflows, and monitoring systems to ensure model reliability in production.

I have led research and project work—publishing a paper on sentiment-based music generation accepted to an IEEE 2025 conference—and built practical systems such as a Graph RAG chatbot and secure image verification framework. I seek positions where I can apply ML expertise to solve real-world problems and continue advancing production-grade AI solutions.