Aryan Pandey
@7000839272
GSOC 2024 at OpenVINO
Delhi
Aryan Pandey is a Machine Learning Engineer with over 1.5 years of experience in reinforcement learning, post-training alignment, and applied agents. He has a background in policy optimization using KL regularization and reward modeling. He has contributed to OpenVINO's inference infrastructure and multi-GPU LLM fine-tuning. Aryan is also active in the research community, having analyzed over 300 papers on RLHF, world models, and distributed training architectures.
Experience
GSOC 2024
OpenVINO
Developed and optimized inference extensions for Stable Diffusion pipelines using OpenVINO. Implemented PyTorch operator support (e.g., aten::mv) and aligned ONNX Relu-6 behavior with upstream frameworks. Added TensorFlow MatrixSetDiagV3 frontend support, increasing operator coverage. Debugged numerical inconsistencies between training-time PyTorch graphs and production inference graphs. Conducted performance benchmarking and contributed through design discussions and PR reviews.
Front End Developer Intern
Embifi
Developed the front end of a web application using React and JavaScript. Integrated Google Firebase for data management, optimizing cross-platform user experiences. Collaborated with a Git team, enhancing code management and version control practices.
Open Source Contributor
Anarchy-ai
Contributed to LLM fine-tuning pipelines using Hugging Face with multi-GPU support. Assisted in distributed training workflows and memory optimization for large models. Worked on load-balancing and auto-scaling setups for LLM serving in cloud environments (GCP). Improved inference throughput and training stability for downstream applications.
Education
Dr. A.P.J Abdul Kalam Technical University
B.Tech
Computer Science
Noida, Delhi
Licenses & Certifications
Deep Learning Specialization
DeepLearning.ai
Stanford Meta Reinforcement Learning
Stanford
LLM agents at UC Berkeley
UC Berkeley