Cloud Solution Architect and Product Owner with 15+ years in IT, including 4+ years in Generative AI, Data Science, and Machine Learning. Experienced in AI-driven product development, ML lifecycle management, and building scalable cloud solutions. Skilled in LLMs, NLP, deep learning, and AI automation, with a strong background in Cloud Architecture, SAP ERP, and enterprise transformations. Passionate about leveraging AI/ML to drive innovation, enhance customer experiences, and modernize businesses. Seeking a Product Owner role in an AI-focused organization.
HCLTech – GEN AI
· Period: Jan 2024 – Till Date
· Roles and Responsibilities : Product Owner
· Defined and owned the product vision and strategy for a Generative AI-based text summarization solution, ensuring alignment with business goals and user needs.
· Led the roadmap planning and prioritization of AI-driven features, focusing on enhancing the quality and assurance of summarization models.
· Collaborated with cross-functional teams (Data Science, Engineering, and UX) to refine and optimize prompt engineering strategies leveraging GPT-3.5 and GPT-4, improving summary fluency, logical consistency, and bias detection.
· Defined and tracked key success metrics for summarization model performance, establishing custom evaluation frameworks to measure quality, coherence, and factual accuracy.
· Oversaw end-to-end product development, ensuring seamless integration of backend AI services with an intuitive user interface using Flask-based APIs, rigorously tested with Postman.
· Engaged stakeholders to gather requirements and drive alignment, ensuring agile product development that accommodates both long-term goals and ad hoc business needs.
· Championed Agile best practices, driving the implementation of CI/CD pipelines to ensure rapid, iterative delivery of high-quality AI features.
· Designed a multi-agent architecture to enhance efficiency and accuracy, optimizing the summarization pipeline for better user outcomes.
· Conducted thorough performance analysis using KPIs such as QAG score, factuality, coherence, and other evaluation metrics, delivering measurable improvements over baseline models.
HCLTech – EU BASED AGRO BUSINESS
· Period: May 2023 – Dec 2023
· Roles and Responsibilities: Solution Architect for AWS AI project
· Owned the end-to-end product lifecycle for a Data Management module designed for a leading Agro-based business. Defined the product vision, prioritized features, and ensured alignment with business objectives. Collaborated closely with stakeholders to integrate AI-driven forecasting algorithms, optimizing market demand prediction.
· Defined the product roadmap for an AI-powered demand forecasting solution leveraging Facebook Prophet. Ensured the model effectively reduced the Bullwhip Effect in warehouse operations, improving supply chain efficiency. Led cross-functional teams to drive model validation and business adoption.
· Spearheaded the development of a customer return prediction model using CatBoost Regressor, enabling data-driven decisions on return management. Owned the deployment strategy on AWS SageMaker, ensuring seamless integration with business workflows and scalable infrastructure.
· Led the implementation of a Generative AI-powered forecasting model (TimeGPT) to enhance return quantity predictions. Provided data-driven insights to stakeholders, optimizing inventory management by identifying overstocking and understocking trends. Defined key KPIs to measure model impact and iterated based on user feedback.
HCLTech – EUROPE BASED AGRO BUSINESS
· Period: Dec 2021 – Feb 2023
· Roles and Responsibilities: Solution Architect for Migration
· Solution Architect in cloud adoption, collaborating with multiple European clients to design and implement cloud migration strategies.
· Conduct detailed assessments of existing environments by working with business, functional teams, and end users to develop migration solutions for hybrid cloud environments.
· Lead the assessment and High-Level Design (HLD) preparation for migrating both SAP and non-SAP applications to multi-cloud platforms.
· Develop Infrastructure Communication Matrix for hybrid environments, working closely with application teams to define solution concepts and ensure seamless integration.
· Create RACI Matrix and user stories to drive the migration of applications, ensuring clear accountability and streamlined execution.
TCS – USA BANK CLIENT
· Period: Apr 2020 – Nov 2021
· Roles and Responsibilities: Cloud Consultant for DataScience and AI project
· Defined and prioritized product requirements for an AI-driven data privacy solution, ensuring alignment with business objectives and compliance standards.
· Oversaw the development and deployment of an NLP-based sensitive data detection model, collaborating with cross-functional teams to enhance data security and governance.
· Managed the roadmap and backlog for an AI-powered Named Entity Recognition (NER) feature, leveraging SpaCy to improve entity classification accuracy for personal data identification.
· Led the optimization strategy for a multi-class sensitive data classification model, working with data scientists and engineers to fine-tune performance and achieve 97% accuracy.
· Spearheaded a Proof of Concept (PoC) utilizing BERT for automated categorization of unstructured text data, successfully improving entity recognition for personal identifiers like names, addresses, and contact details.
TCS – U.S RETAIL CLIENT
· Period: Feb 2019 – Mar 2020
· Roles and Responsibilities: Cloud Infra Architect for Implementation
· Cloud Infrastructure Solution Architect for a leading US retail grocery chain with 5000+ outlets.
· Implemented TCS Optumera – Pricing Module, enabling retailers to adopt agile strategies and gain real-time insights to optimize their pricing approach.
· Designed and developed solution artifacts based on business requirements, including data volume analysis (sizing), functional processes, and other critical factors.
· Optimized infrastructure design and deployment, ensuring efficient resource utilization and precise resource allocation.
· Defined roadmap and environment strategy to align infrastructure setup with application and data requirements across all environments.
· Ensured compliance with architectural standards, global product guidelines, and usability design principles.
· Provided technical support by reviewing as-built configurations, guiding the technical team, and offering insights into roles and responsibilities for effective solution operations.