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Sayan Goswami.

Machine Learning/Meta/London

[01]

NOW

ML engineer at Meta. Building solutions that reduce harm across Meta’s family of apps - from classical models to LLMs.

Petabyte scale data pipelines that retrieve, embed and deduplicate billions of photos, videos and posts every day to power integrity, copyright workflows.

I love to learn, build solutions to tackle challenging problems. Open to interesting conversations.

[02]

TIMELINE

  1. Joined Meta as a Machine Learning Engineer in London Central Integrity @ Meta, building machine learning solutions to reduce harm across Meta's family of apps.
  2. Promoted to SDE-II at Amazon Amazon Ads: building better ads creatives, improving experiences for our customers.
  3. Joined Amazon Development Centre, Scotland Amazon Ads: online reporting services, internal machine learning platforms and data pipelines.
  4. Joined Sea AI Lab as SRE Worked as a Site Reliability Engineer at the SAIL. Responsibilities included administration of in-house GPU cluster, improving job scheduling, maintenance of infrastructure and various other MLOps/DevOps tasks.
  5. Successfully defended my Master's Thesis I worked on the options framework, a hierarchical decision making framework in reinforcement learning. The defense committee comprised of Prof. Anders Jonsson, Prof. Marti Sanchez Fibla, Prof. M. Sadegh Talebi and was presided by Prof. Gergely Neu.
  6. Joined the Quantum Information Group Worked on continuos variable Quantum Computing as a senior research support technician with Dr. Matteo Rosati at the Department of Physics in Universitat Autònoma de Barcelona.
  7. Completed work for JAE fellowship granted by the Spanish National Research Council (CSIC) Worked on applied reinforcement learning at the Artificial Intelligence Research Centre (IIIA-CSIC) with Prof. Josep Lluís Arcos and Prof. Jordi Sabater-Mir in a project to help train Catalan firefighters virtually.
[03]

CONTACT