Muhammad Awais

I build LLM and deep learning systems end to end — retrieval and agent architectures, neural audio models, and the evaluation infrastructure that tells you whether either of them actually works. Three years of prior production data engineering (Razor Group Berlin, Teradata, NETSOL) is why my projects tend to be instrumented rather than demoed: latency budgets, cost per query, measured quality, and failure modes documented rather than hidden.

I’m currently an M.Sc. Media Engineering student at TU Ilmenau, Germany, focused on making LLM systems measurable, and on locating the real ceiling in learned audio compression for my thesis, supervised by Prof. Gerald Schuller and co-supervised by Andreas Brendel at Fraunhofer IIS Erlangen.

Selected work, full stack breakdown, and career history are on the projects and CV pages. Reach me by email, or find me on GitHub and LinkedIn below.