Jayakrishnan Nair

· Lead a cross-functional and international team of 8 core
members (DevOps, Data Engineers, Data Scientists) and 4 offshore
resources, delivering AI and digital solutions across 8 business domains
within Renault.
· Act as central point of coordination for AI and digital initiatives, managing two strategic platforms: Dataiku (low code) and an MLOps
platform (RML) for industrialized ML use cases.
· Identify, prioritize, and deliver high-value AI and automation use cases, driving operational efficiency and business impact across domains.
· Generated €170M business value in one year, accelerating
time-to value through scalable low-code and AI solutions.
· Orchestrate end-to-end delivery of AI and digital solutions, in
close collaboration with data, AI, and integration teams, ensuring
alignment between models, data pipelines, and APIs.
· Lead the transition from POC to industrialized and scalable
solutions, ensuring adoption across business units.
· Ensure performance, reliability, and security of AI solutions
deployed in production environments.
· Define and implement delivery frameworks, governance
models, and best practices for AI and digital solutions within a multi-domain ecosystem.
· Successfully led a strategic POC initiative, validating Dataiku
as the enterprise low-code AI & platform and enabling large-scale
adoption.

· Led Renault CAFE technical team across India and France, delivering predictive models and insights on volume and CO₂ emissions

· Drove monitoring and reporting of CO₂ performance across Europe, providing KPI updates to executive leadership and key stakeholders

· Leveraged PySpark, Google Cloud Platform, and data visualization tools (e.g., Spotfire) to build scalable data solutions

· Led end-to-end migration of the platform to Google Cloud , improving scalability and efficiency

· Developed KPI dashboards enhancing accuracy, transparency, and compliance in financial planning and reporting

· The project aims to enable secure and efficient database exchange with Renault partners.

· Led cross-functional technical teams in India and France, managing enhancements and maintenance of Java-based inter-database exchange components

· Oversaw project management and progress tracking in collaboration with project leaders, while coordinating with key partners including Nissan, Mitsubishi, AvtoVAZ, and Daimler.

Technical Env : JMS, JAXB, Oracle, Java, SVN

· Worked on a payment terminal back-end project for international clients (Alibaba, Société Générale, BNP Paribas…) as a Data engineer and scrum master within a team of ten members, including a PO.

· Organized and facilitated daily stand-up meetings, reviews, estimates, retrospectives, and other scrum related meetings.

· Created and maintained transactions reports and Dashboards for the clients.

· Led sprint planning to define sprint goals, prioritize tasks, and allocate resources. Facilitated sprint retros to identify areas for improvement and develop action plans.

Technical Env: Scala, React, DevOps, Docker, Couchbase, Jira

· Worked in an internal web project as a full stack developer within a team of six members.

· Project related to the workflow of insurance files, from their creation to their closure.

· Implemented user interfaces using JSF, CSS, and JavaScript and Backend in Java.

Technical Env : Java, JSF, Java script, Selenium.

· Developed and maintained software for Beta Corporation's transport management system.

· Worked with cross-functional teams to identify and prioritize requirements, design and develop software, and test and deploy software.

· Contributed to the development of new features and the improvement of existing features.

Technical Env : Java, JSP, Java script, HTML,MySql