Teja Kanchinadam
About Teja Kanchinadam
◦ 7+ years of academic and industrial experience with extensive experience in the research and development of machine learning solutions with a wide background of studies and experience that includes theoretical math, computer science, software engineering and machine learning. ◦ Published extensively (6 first-author) in reputed journals and conferences of machine learning including KDD, IAAI, etc, in topics related to machine learning, deep learning, natural language processing, active learning, attention networks, graph neural networks \& recommender systems. ◦ Conducted & supported research to implementing full stack, production-ready and user-friendly solutions. ◦ Tech Stack: Python pandas, SQL & PySpark for ETL; Python sklearn for ML; Keras, Tensorflow & PyTorch for deep learning; Matplotlib for data visualization; Python Flask and HTML/CSS/JS for app development; Solr for search; AWS for prototyping & production.