I’m Suraj Meshram, a machine learning practitioner with a PhD in Artificial Intelligence from IIT Kharagpur. My work centers on deep learning, end-to-end model training, and—especially—rigorous model evaluation using reproducible ML pipelines. I enjoy bridging physics-aware modeling and simulation with data-driven learning, and I’ve built and validated physics-in-the-loop approaches to ensure models behave reliably.
Alongside my research, I contribute to high-stakes ML/LLM quality at Scale AI/Outlier, where I evaluate model outputs against structured rubrics and document assessments clearly. I’m a benchmark-driven researcher and author with first-author publications in ML, optimization, and embedded systems, and I also bring strong engineering fundamentals in Python (PyTorch/TensorFlow/scikit-learn), Linux/GPU compute, and C/C++ to translate experiments into dependable systems.
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