Headline

AI and Data | Observability | Driving AI innovation and user engagement

About

As an experienced Product Manager specializing in AI solutions, I combine a deep technical understanding with strategic leadership to deliver innovative, high-impact products that drive business success. My expertise spans AI model governance, MLOps, observability, and Agile product development, enabling me to manage complex AI systems, optimize model performance, and ensure they align with Responsible AI principles. I am passionate about creating solutions that solve technical challenges and enhance user experiences. By leveraging advanced tools such as Elastic Search, Adobe Analytics, and Adobe Target, I focus on driving data-driven insights and enhancing product performance. My experience includes designing robust strategies for monitoring AI models to address issues like data drift, performance degradation, and bias, all while fostering a culture of collaboration and continuous improvement within cross-functional teams. With a solid foundation in Agile methodologies, data analytics, and market research, I am adept at translating business needs into actionable roadmaps that meet both customer expectations and organizational goals. My work revolves around optimizing processes, empowering teams, and leading initiatives that bring next-generation products to market. Key Skills: - AI Product Strategy & Roadmap - MLOps, Model Governance & Responsible AI - Data Analytics & Observability Solutions - AI Model Monitoring & Performance Optimization - Agile Methodologies (Scrum, Kanban, XP) - User Behavior Analysis (Adobe Analytics & Target) - Search Implementation (Elastic Search) - Cross-Functional Collaboration & Leadership Achievements: - GDS User Recognition Award(2024) for successfully facilitating the seamless transition of the product. - Excellence in Team Management Award (2022) for building a high-performing team that delivered time-critical releases. - Key Contributor Award (2020) for automating 85% of the codebase in a single quarter. - Innovator Award (2018) for introducing a CI/CD automation process leading to 1-click deployment. - Multiple awards for Agile process implementation and customer-centric feature development. Driven by a passion for leveraging technology to solve complex challenges, I thrive on collaborating with teams to transform ideas into impactful products. Let’s connect and explore how my technical expertise and product leadership can help your organization achieve its goals.

Location

Bengaluru

AI stack

claude code

codex

mcp

Work experience

Director - AI Products at Alegeus, Feb 2026 - Present · 10 mos, Bangalore Urban, Karnataka, India

Product Manager - AI & Observability at EY, Aug 2021 - Feb 2026 · 4 yrs 7 mos, Bangalore Urban, Karnataka, India, Developed and executed a comprehensive AI Go-to-Market (GTM) strategy, incorporating Generative AI product strategies such as RAG models, NLP, and sentiment analysis to improve user engagement and deliver personalized recommendations. Spearheaded prompt engineering initiatives and integrated AI-powered recommendation engines, driving a 25% increase in user engagement. Leveraged design tools like Pendo and Figma to create intuitive user experiences informed by data insights. Partnered with IBM WatsonX to integrate advanced AI solutions, enhancing EY's product capabilities with .ai, .data, and .gov components. Managed AI KPIs such as precision, recall, and false positive rates to ensure accurate performance evaluations and unbiased results. Utilized Flask, FastAPI, and Streamlit UI to build and deploy interactive AI/ML model interfaces, improving end-user accessibility and engagement. Orchestrated AI Governance frameworks, embedding Responsible AI principles to enhance fairness, transparency, and accountability across AI-driven solutions. Delivered Enterprise SaaS solutions by aligning AI capabilities with business objectives, enhancing scalability, and driving customer adoption. Integrated Synthesia AI Video Creator to produce engaging, scalable video content for improved communication, training, and marketing efforts. Drove AI observability and model governance initiatives, embedding AI Quality Risk Management (QRM) frameworks to ensure regulatory compliance and mitigate operational risks. Applied Agile methodologies using Azure DevOps to drive AI-based project execution and ensure clear communication through release notes and technical documentation.

Engineering Manager - Backend APIs at MediaKind, Feb 2019 - Jul 2021 · 2 yrs 6 mos, Bengaluru, Karnataka, India, Divested from Ericsson. Key Responsibilities: Business Case Development: Create comprehensive business cases, including validations, prioritization frameworks, and checklists. Solution Design & Development: Design solutions with mockups, RACI matrices, sizing, dependencies, and feasibility assessments. Collaboration with Engineering: Work closely with engineering teams to estimate efforts and create detailed implementation plans. Data Quality Management: Ensure data quality and integrity throughout the product development lifecycle. Stakeholder Collaboration: Engage with clients, regional leads, and other stakeholders for feedback, legal review, and socialization of the product. MVP Definition & Risk Assessment: Define minimum viable product (MVP) versions, perform risk assessments, and manage go-to-market (GTM) plans, UAT, demos, and commercialization strategies. Product Roadmap Planning: Collect and prioritize user feedback, plan ongoing maintenance, and make decisions on updates or retirements. Monitor Product Usage: Monitor product usage, generate usage reports, and identify necessary enhancements or retirements. Team Leadership: Lead a small team of data scientists and visualization engineers using agile methodology. Strategic Planning & Communication: Use strategic planning, business analysis, and technical knowledge to guide the product lifecycle, from planning through launch and beyond.

Engineering Manager - Backend APIs at Ericsson, Jul 2018 - Feb 2019 · 8 mos, Greater Bengaluru Area

Technical Manager at Societe Generale Corporate and Investment Banking - SGCIB, May 2015 - Jun 2018 · 3 yrs 2 mos, Bangalore Area, India, - Collateral Risk Assessment System: Used for collateral management which is assessing risk based on Basel II, client, and geography. - Portfolio Management System: To analyze the portfolio of HNI clients based on world market conditions and suggest recommendations.

Education

eMDP, General Management, Indian Institute of Management, Kozhikode

Bachelor's Degree, Computer Science, Government Engineering College, Bhopal