- Drove innovation in MLOps by enhancing Feathr Feature Store, addressing customer pain points in feature engineering. https://github.com/feathr-ai/feathr - Pioneered the integration of Feast (Feature Store) with Azure, advancing feature management for ML workflows. https://github.com/Azure/feast-azure Feathr feature store joins LF AI & Data Foundation - Microsoft Open Source Blog GitHub - Azure/feast-azure: Azure plugins for Feast (FEAture STore) GitHub - feathr-ai/feathr: Feathr – A scalable, unified data and AI engineering platform for enterprise

- Led the Energy Knowledge Mining Industry Solution, enabling energy customers to extract insights from vast unstructured data. - Designed an automated pipeline to extract, enrich, and index text using custom ML APIs, making data searchable. - Reduced deployment time from weeks to under an hour by implementing ARM templates and Azure Managed Apps for self-serve deployment. - Owned end-to-end technical leadership, including architecture, code reviews, sprint planning, backlog grooming, and releases. - Engaged with customers, gathered feedback, and mentored junior team members to drive adoption and continuous improvement. Skills: Leading Development Teams · Technical Project Leadership

- Led the design and implementation of an AI-powered Q&A chatbot for an audit firm, enabling SMEs to retrieve critical information efficiently. Integrated feedback loops to continuously enhance model accuracy through retraining. Solution built using Azure Search, Azure ML, Bot Framework, and Cosmos DB. - Pioneered the introduction of MLOps (formerly DevOps for AI) within Azure, conducting initial POCs and collaborating with the Azure ML team to shape product roadmaps. Published a widely adopted Azure reference architecture and quick-start guide for MLOps. Delivered impactful presentations internally and externally, driving awareness and adoption. - Partnered with customers across industries to develop cloud-based AI solutions on Azure, gathering key insights and advocating for feature enhancements with the product team. Ensured alignment between customer needs and Azure’s evolving AI/ML capabilities.

- Led end-to-end ML projects across industries, from inception to operationalization, covering recommendation systems, predictive maintenance, NLP, and computer vision. - Developed AI-powered chatbots for enterprises, including a multilingual bot for DHS Australia, using Azure Bot Framework and LUIS. - Built and deployed predictive models, such as a customer churn prediction solution published in Azure AI Gallery. - Engaged with customers through onsite demos, POCs, and strategic AI adoption initiatives. Authored blogs, tutorials, and collateral to share insights and drive AI adoption across industries. - Evangelized AI and ML innovations at conferences and industry events.

* Developed Data Asset Catalog ReST API using distributed Key Value storage system and index search (patent pending). * Brainstormed and proposed numbers of ideas to integrate various social platforms within Nokia. * Attended leadership workshops in Finland and China, visited Nokia factories, met with business heads to get better understanding of Nokia’s business.