News
Hosted Large Language Model Distributed Inference Workshop at Harvard
March 16, 2026I recently hosted a hands-on workshop at Harvard University, focused on the technical challenges and solutions for Large Language Model (LLM) Distributed Inference. As both a Lead ML Research Engineer and a PyTorch Ambassador, my goal was to bridge the gap between theoretical AI models and the high-performance computing (HPC)...
Read more →Attended NVIDIA GTC 2026
March 16, 2026I attended NVIDIA GTC 2026, starting with a pre-conference workshop followed by the main conference sessions. The first day was dedicated to NVIDIA’s Accelerated Networking for AI Infrastructure workshop, which provided a strong systems-level overview of how modern large-scale AI clusters are designed and operated. The workshop covered a wide...
Read more →Became NVIDIA-Certified Associate in AI Infrastructure and Operations
February 18, 2026Thrilled to be NVIDIA Certified! Just passed the AI Infrastructure and Operations exam. It’s rewarding to validate the large-scale cluster work we’re doing at the Kempner Institute through NVIDIA’s official program. A special thanks to Max Shad for the invaluable infrastructure discussions, those insights were instrumental in bridging the gap...
Read more →Promoted to Lead ML Research Engineer at Harvard’s Kempner Institute
February 11, 2026I’m pleased to share that I have been promoted to Lead ML Research Engineer at the Kempner Institute at Harvard University. Over the past several years, my work has focused on large-scale GPU systems, distributed machine learning, model development, and building reproducible ML infrastructure. I look forward to leading deeper...
Read more →Invited as a Reviewer for the SEA Workshop at NeurIPS 2025
September 04, 2025I’m pleased to announce that I have been invited to serve as a reviewer for the Workshop on Scientific Exploration with Generative Agents (SEA 2025), held as part of NeurIPS 2025. The SEA Workshop focuses on advancing the use of generative AI and agent-based systems for scientific discovery and exploration....
Read more →Have been selected as a 2025 PyTorch Ambassador
August 29, 2025I’m thrilled to share that I have been selected as a PyTorch Ambassador for the 2025–2026 cohort. This program, hosted by The Linux Foundation and the PyTorch Foundation, brings together a global community of experts dedicated to advancing the ecosystem of open-source deep learning. As a PyTorch Ambassador, I look...
Read more →The compute handbook accepts contributions from the community
August 17, 2025We’re excited to announce that the Kempner Computing Handbook is now open for contributions from the community! This handbook is a collaborative effort to build a comprehensive resource on computing practices, tools, and knowledge within the Kempner Institute ecosystem and beyond. If you’re interested in contributing, sharing insights, or improving...
Read more →Benchmarking NVIDIA HPC Workloads on the Kempner AI Cluster is now available
July 07, 2025I’ve published a comprehensive benchmarking study evaluating the NVIDIA HPC workloads on the Kempner AI Cluster. The study covers HPL, HPL-MxP, HPCG, and STREAM benchmarks across multiple GPU configurations. View detailed benchmark results The analysis includes: HPL performance scaling (1-8 GPUs) Mixed-precision HPL-MxP results HPCG memory-bound benchmarks STREAM bandwidth measurements...
Read more →Obtained NVIDIA Certification in Data Parallelism
June 04, 2025I’m happy to share that I’ve obtained a new certification: Data Parallelism: How to Train Deep Learning Models on Multiple GPUs from NVIDIA! This certification deepens my expertise in scaling deep learning workloads efficiently across multiple GPUs—an essential skill for advancing large-scale AI research and engineering. I’m excited to apply...
Read more →Invited as a Reviewer for NeurIPS Datasets and Benchmarks Track 2024
April 29, 2024I’m honored to share that I was invited to serve as a reviewer for the NeurIPS 2024 Datasets and Benchmarks Track! This track is dedicated to advancing the role of high-quality datasets, benchmarks, and evaluation standards in machine learning research. It emphasizes reproducibility, robustness, and the development of resources that...
Read more →Joined Harvard's Kempner Institute
March 25, 2024Started my new role as Senior ML Research Engineer at the Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University.
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