Engineering lead of the Protein team at Fundamental AI Research (FAIR) - Meta AI, pushing the frontier on the intersection of deep learning & biology. Released ESM, ESMFold and ESM Atlas.Grew the team to ~15 research engineers and scientists.

Research Engineer - Fundamental AI Research (FAIR) - Meta AI.

Researcher at IBM Research AI, working in the IBM T.J. Watson Research Center in Yorktown Heights, NY.Worked and published on deep convnets for speech recognition, GANs (Generative Adversarial Networks) and adversarial training applied to new problems, generative sequence modeling for peptide sequences.

TA for the course Programming for Data Science (teaching and developing the lab material), co-TA for Deep Learning (developed tutorials and homework assignment). Independent research in deep learning (advisor: Yann LeCun).

Network anomaly detection from server monitoring data: implemented state of the art algorithms for time series anomaly detection. Confirmed success of techniques by detecting server failures from historic data.Taught lecture on SVM's and presented project results in GS machine learning workshop.