Jul 2024 – Nov 2025 · 1 yr 4 mos · New York, United States

• Tying and fixing a variety of AI things across Meta and the Industry -- Infra, Software, Open Source, Llama, etc.

Feb 2023 – Jul 2024 · 1 yr 5 mos · New York, United States

• Engineering Lead working on AI Infra, PyTorch, Generative AI

Mar 2021 – Mar 2023 · 2 yrs · New York, United States

• Researcher with 52,000+ citations and an h-index of 29 in Machine Learning, computer vision, robotics
• High-risk research. Leading PyTorch

Mar 2019 – Mar 2021 · 2 yrs · New York, United States

• Lead for the PyTorch ML framework: technical, product, marketing. 100+ engineers.
• Cross-industry partnerships with Microsoft, Amazon, Google, OpenAI, Tesla, etc.
• Acquired and advise PapersWithCode

Aug 2014 – Feb 2019 · 4 yrs 6 mos · New York, United States

• Co-created and lead PyTorch from zero customers to industry-wide adoption. Lead engineering, management, product, marketing and partnerships
• Highly-cited research in Machine Learning on Generative Adversarial Networks: Wasserstein GAN, DCGAN and LAPGAN
• Highlighted research in SysML, Game AI, NLP, Computer Vision
• Lead the software and hardware infrastructure decisions for the FAIR organization from early 2015 to end of 2016, including hardware and cluster decisions and software stack design
• Lead maintainer of the Torch-7 deep learning framework from 2013 until it’s end. At its peak, Torch-7 was used by some of the largest industrial labs in machine learning: Facebook, DeepMind and Twitter, among tens of research labs. Received media and scientific attention for this work, being invited to give several tens of talks on this topic.
• Created convnet-benchmarks, a popular benchmarking suite for deep learning. It was used from 2015 to 2017 as a gold standard by NVIDIA, AMD, Intel Nervana and many other hardware manufacturers to optimize their systems

May 2024 – Present · 1 yr 11 mos

May 2024 – Present · 1 yr 11 mos

Mar 2024 – Present · 2 yrs 1 mo

Mar 2024 – Present · 2 yrs 1 mo

Feb 2024 – Present · 2 yrs 2 mos

Feb 2024 – Present · 2 yrs 2 mos

Nov 2023 – Present · 2 yrs 5 mos

Aug 2023 – Present · 2 yrs 8 mos

May 2023 – Present · 2 yrs 11 mos

Jan 2023 – Present · 3 yrs 3 mos

Dec 2022 – Present · 3 yrs 4 mos

Aug 2022 – Present · 3 yrs 8 mos

Dec 2021 – Present · 4 yrs 4 mos

Nov 2021 – Present · 4 yrs 5 mos

Apr 2021 – Present · 5 yrs

Sep 2019 – Present · 6 yrs 7 mos

Jul 2012 – Aug 2014 · 2 yrs 1 mo · New York City Metropolitan Area

• Built machine learning and vision systems for mobile devices and music (iOS/Android)

Oct 2011 – Sep 2013 · 1 yr 11 mos

• Built various state-of-the-art machine learning systems using Deep Learning approaches. Projects include state-of-the-art results on Google Street View House Numbers (SVHN) dataset, pedestrian detection using unsupervised multi-stage feature learning and sentiment analysis on natural language data using deep neural language models.

May 2011 – Sep 2011 · 4 mos · Princeton, USA

• Built systems for autonomous robot navigation involving real-time 3D registration and matching of incoming camera images. Also worked on building deep learning classifiers on histopathological data to detect cancerous and malignant tissues.

Sep 2010 – Apr 2011 · 7 mos

• Monitoring and administration of linux servers, network and linux/windows/mac systems as well as maintaining print, mail servers and computing clusters.

Aug 2009 – Mar 2010 · 7 mos · Greater Pittsburgh Region

• Developed algorithms for navigation and balance of biped robots using a combination of vision and sonar sensors under Dr.Manuela Veloso
• Worked on Face Recognition problems using a dimensionality reduction approach under Dr.Fernando De La Torre