Monojit Banerjee | Source | Senior Member at IEEE

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Monojit Banerjee

Senior Member at IEEE
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Monojit Banerjee is a lead engineer in the Salesforce AI platform team with 14 years of professional experience. He is responsible for the platform that powers various Salesforce AI apps, including Einstein Prediction Builder, Agentforce (the flagship agentic AI offerings from Salesforce), and Einstein Vision and Language. Monojit's skill set includes expertise in AI/ML, DevOps, cloud computing, and Generative AI.

In addition to his role at Salesforce, Monojit actively contributes to the AI and DevOps community. He serves as a technical reviewer for books from Packt and Manning. He is also a journal reviewer for Transactions on Machine Learning Research journal and Technical program committee member of various reputed conferences.

Furthermore, Monojit is the owner of the open-source natural language and vision model tool builder called EinsteinPlayground - a low/no code tool for AI language and vision capabilities which is widely used by many organizations.
Monojit is an IEEE senior member and actively participates in the adplist mentorship program.

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  • AI Hallucinations in Coding: Spotting and Avoiding Errors
    Monojit warns that AI-generated code errors can lead to costly production issues. He suggests using "citation features, fill-in-the-middle patterns, and retrieval augmented generation" to mitigate errors. Emphasizing unit testing and a mature DevOps pipeline, Monojit advises developers to understand AI limitations to enhance productivity.
  • Salesforce's Monojit Banerjee on API Cost Efficiency and Governance
    Monojit highlights that decomposing monolithic systems into micro-services can boost developer productivity and cut costs by 30-40%. He also emphasizes using tools like Kong and AWS API Gateway for tracking API usage and enforcing cost controls. By treating APIs as code, organizations can ensure compliance and efficiency, ultimately leading to significant financial savings.
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