Summary
Erim Yanik is a Machine Learning Research Scientist with 11 years of experience specializing in real-time voice AI, conversational speech recognition, and deployable STT systems. Currently at Deepgram and as a lead maintainer on conda-forge, he builds production-ready frameworks and an MLOps trustworthiness library (TrustPy) that bridge research and dependable deployment. His PhD-era work delivered measurable gains in clinical and training settings—cutting labeling costs dramatically with meta-learning and improving task accuracy via gaze-attention models—showing a knack for practical, high-impact research. A proven team leader and communicator, he has overseen academic labs, mentored researchers, and grown a Toastmasters club to double-plus membership while serving in divisional leadership. Based in Chicago, he blends academic rigor with open-source engineering to move agentic LLM workflows and causal knowledge retrieval toward real-world operational use.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Engineering (AI/ML focus), Doctor of Philosophy - PhD Engineering (AI/ML focus) at Rensselaer Polytechnic Institute
Bachelor of Science - BS, Bachelor of Science - BS at Istanbul Technical University
Master of Science - MS, Master of Science - MS at Southern Illinois University Edwardsville
Turkish, English, German