Mrigank Raman
Machine Learning Researcher at Abridge
Pittsburgh, Pennsylvania, United States
Summary
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Rockstar🎓
Top SchoolMrigank Raman is a Machine Learning Researcher with seven years of experience blending deep academic rigor and hands-on engineering to deliver production-ready ML systems. Based in Pittsburgh, he leads the ASR stack at Abridge and helped optimize deployment of LLaMA-13B for fast medical summarization on a single 24GB GPU while researching distillation techniques to compress 30–70B models into practical 7–13B consumer-grade LMs. He holds an MS in Machine Learning from Carnegie Mellon and a high-performing Math & CS bachelor’s from IIT Delhi, and has research and internship experience spanning federated learning, quantitative research, and remote academic projects. An attentive educator early in his career, he has TA’d advanced math courses and contributed to dataset curation and instruction-tuning approaches that improve efficiency for domain-specific LLMs. Colleagues describe him as research-focused and product-minded, with a particular knack for making clinical AI tools faster and more deployable in constrained environments.
7 years of coding experience
1 year of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)Master of Science - MS, Machine Learning, 4.28/4, Master of Science - MS, Machine Learning, 4.28/4 at Carnegie Mellon University
Github Skills (85)
thrust10
ai-agent10
silo10
intrinsics10
marketplace10
opennmt10
simulation10
neural-machine-translation10
inference-engine10
cross-device10
federated-learning10
distributed-training9
avx9
scale9
security9
Programming languages (4)
Github contributions (5)
MrigankRaman/MrigankRaman.github.io
Aug 2022 - Nov 2023
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:60 pushes in 1 year 4 months
templategithub-pages-templatemmistakesmistakesjekyll
INK-USC/deceive-KG-models
Apr 2021 - Apr 2021
An implementation of the experiments on KG robustness
Contributions:16 commits, 1 PR, 15 pushes in 3 days
robustnessjulia
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