Muhammad Razeen Bari

Active practitioner in applied machine learning with a focus on audio and speech: publishes datasets and notebooks (audio augmentation, speech analysis, emotion-labeled audio) on Kaggle demonstrating hands-on experimentation with audio ML pipelines. kaggle+2

Contributed to open-source and learning projects on GitHub, sharing educational notebooks such as a manual linear regression implementation to demonstrate foundational ML concepts. github+1

Involved in product-oriented and startup activities: associated with Glassogon (publicly presented on the company's Instagram) and worked on conversational chatbot products at The Botss as a junior ML engineer focusing on TTS and regional-language chatbots. instagram+1

Engages in academic research and scholarly writing on machine learning topics — co-author on a 2023 survey paper about anomaly detection in IoT, indicating involvement in formal research and collaboration with university groups. researchgate+1