Manish Tiwari is a dedicated ML engineer and open source contributor, specializing in building practical AI systems. As a third-year CS engineering student, he focuses on creating end-to-end machine learning pipelines, from data and models to deployment and evaluation. His passion lies in MLOps, AI systems, and ensuring model reliability beyond notebooks. Manish actively contributes to open-source projects, experiments with multilingual language models, and explores large-scale system development. Key features of his work include a Production Model Drift Monitoring System using FastAPI, Streamlit, and Docker for real-time drift detection, and the Trimurti-LM, a custom language model developed with PyTorch. His open source contributions to projects like sktime and CHAOSS/augur highlight his commitment to community-driven development. Manish's technical expertise is supported by a robust tech stack including Python, PyTorch, FastAPI, and more, enabling him to deliver impactful AI solutions.