Layonmai Sarma Email & Phone Number

Engineering Leader & Software Architect with a proven track record of launching successful products. Solid experience in building robust and resilient data platform to solve business problems through AI driven data products. Microservices Expert. Deep expertise in building distributed, scalable, and low latency systems on the JVM. Advocate of Responsible AI, Reactive Architecture & Domain-Driven Design. Strategic Product and business thinker. Ability to put head together with the Product & UX Leaders to bring out the best product version. Mentor and Coach with exceptional expertise to build high-performance teams.Engaged with early-stage startups in Mid to Senior level leadership roles building teams and products together in the last eight years.

Listed skills include Lean Startup, Software Architecture, Java, Javascript, and 25 others.

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  Vice President Of Technology

  Retisio

  Sep 2022 - Present - Bengaluru, Karnataka, India

  Aligning with Retisio's focus of building the most advanced and intelligent digital commerce platform, we have built a robust data platform and a bunch of AI driven products and capabilities for Retisio Commerce.Key responsibilities during this phase have beenWorked with the CTO and Product Head to create and implement a forward-looking tech and business strategy for the data platform and the products. Built a 'Data Product Team' by bringing together Product Architect, Data Engineers, Data Scientists, Backend Engineers, Frontend Engineer and Dev-Ops Engineers. Mentored and guided the team on engineering and architecture best practices for scale. Responsible for setting the technology vision, design, and development of Retisio's 'Commerce Data Platform' to power all its data products.In charge of consolidating multiple existing data, ML & AI initiatives and converting them to data products on the platform. Built 'Retisio Analytics'- a solution to provide in-depth reports and insights from Retisio Commerce data.Responsible for setting up MLOps to support the lifecycle of the Machine Learning & Deep Learning models.Oversaw the exercise to shorten the delivery time by building automation around data preparation & model training.Accountable for shipping the data products to multiple Retisio Commerce customers and supporting in production.