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.

SURAJ MESHRAM

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.

Available to hire

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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Work Experience

AI/ML Evaluation Specialist (Senior Quality Control Contributor) at Scale AI (Outlier), Soul.ai
January 1, 2024 - Present
Evaluate ML/LLM model outputs against rigorous rubrics. Author structured technical assessments, document methodology clearly, and continuously improve evaluation quality. Contribute to QA/quality processes for model behavior and response correctness using disciplined, rubric-based analysis.
AI/ML Evaluation Specialist (Senior Quality Control contributor) at Scale AI / Outlier / Soul.ai
January 1, 2024 - Present
Evaluate ML/LLM model outputs against rigorous rubrics. Author structured technical assessments and document evaluation methodology clearly. Progressed from Contributor to Senior Quality Control by maintaining high-quality, consistent judgment criteria for model output review.
AI/ML Evaluation Specialist (Senior Quality Control Contributor) at Scale AI / Outlier
January 1, 2024 - Present
Evaluate ML/LLM model outputs against rigorous, rubric-based criteria; author structured technical assessments and clearly document evaluation methodology. Progressed from Contributor to Senior Quality Control while maintaining consistency, accuracy, and reproducibility in assessments.
Doctoral Researcher — Machine Learning, Optimization & Physics-Aware Modeling at Department of Artificial Intelligence, IIT Kharagpur
January 1, 2020 - January 1, 2025
Designed, trained, and rigorously evaluated ML and optimization algorithms in reproducible Python workflows, with benchmarking against exact methods. Built physics-in-the-loop models with simulation validation, administered Linux/GPU compute, and led algorithm design work in a Python lab context while publishing first-author research in ML and optimization.
Assistant Professor, Mechanical Engineering at UPES, Dehradun
August 1, 2016 - August 1, 2020
Taught mechanical engineering, materials-related, and numerical/computational courses. Mentored 20+ research projects and supported students across computational science and engineering problem solving.

Education

PhD in Artificial Intelligence at Indian Institute of Technology (IIT) Kharagpur
January 1, 2020 - January 1, 2025
M.Tech in Mechanical Design at Indian Institute of Technology (IIT) Delhi
January 1, 2014 - January 1, 2016
B.E. in Mechanical Engineering at University of Pune
January 1, 2009 - January 1, 2013
PhD in Artificial Intelligence at Indian Institute of Technology (IIT) Kharagpur
January 1, 2020 - January 1, 2025
M.Tech in Mechanical Design at Indian Institute of Technology (IIT) Delhi
January 1, 2014 - January 1, 2016
B.E. in Mechanical Engineering at University of Pune
January 1, 2009 - January 1, 2013
PhD in Artificial Intelligence at Indian Institute of Technology (IIT) Kharagpur
January 1, 2020 - January 1, 2025
M.Tech in Mechanical Design at Indian Institute of Technology (IIT) Delhi
January 1, 2014 - January 1, 2016
B.E. in Mechanical Engineering at University of Pune
January 1, 2009 - January 1, 2013

Qualifications

Add your qualifications or awards here.

Industry Experience

Education, Manufacturing, Computers & Electronics, Professional Services, Software & Internet