Fluent in SQL, Python, and “can we ship this by Friday?”
I love building AI-driven products that make users’ lives easier (and maybe my PM life, too).
When I’m not managing sprints, I’m smashing badminton shuttles, serving pickleball aces, or lifting my way out of feature creep at the gym.
Always up for a chat about products, data, or doubles strategy. 🚀
Work Experience
April 2026 - Present
AI Business Analyst | Radiant Digital (Client: Verizon, US)
AI Business Analyst | Radiant Digital (Client: Verizon, US)
Led the end-to-end delivery of a LangGraph-based multi-agent AI system for autonomous defect detection, root cause analysis (RCA), and fix generation, incorporating human-in-the-loop (HITL) approval workflows and a Knowledge-Augmented Generation (KAG) feedback loop powered by Neo4j, vector databases, and Claude. Translated client requirements into detailed technical specifications, defining agent architectures, tool-calling interfaces, MCP integration points, confidence thresholds, JIRA workflows, and KPI frameworks targeting 90%+ defect detection accuracy and a 50%+ reduction in MTTR. Collaborated closely with AI/ML engineers, ecosystem partners, and business stakeholders, driving sprint planning, backlog grooming, architecture documentation, PRDs, sprint reviews, and executive reporting to ensure successful delivery and alignment across teams.
Led the end-to-end delivery of a LangGraph-based multi-agent AI system for autonomous defect detection, root cause analysis (RCA), and fix generation, incorporating human-in-the-loop (HITL) approval workflows and a Knowledge-Augmented Generation (KAG) feedback loop powered by Neo4j, vector databases, and Claude. Translated client requirements into detailed technical specifications, defining agent architectures, tool-calling interfaces, MCP integration points, confidence thresholds, JIRA workflows, and KPI frameworks targeting 90%+ defect detection accuracy and a 50%+ reduction in MTTR. Collaborated closely with AI/ML engineers, ecosystem partners, and business stakeholders, driving sprint planning, backlog grooming, architecture documentation, PRDs, sprint reviews, and executive reporting to ensure successful delivery and alignment across teams.
Nov 2024 - Mar 2026
Technical Product Manager | TechnoComp Inc (Client: Novo Nordisk, US)
Technical Product Manager | TechnoComp Inc
(Client: Novo Nordisk, US)
I directed a large-scale AEM Cloud migration by defining program milestones, success metrics, and managing cross-functional execution across 5+ global teams, ultimately accelerating MVP delivery by 30%. I also spearheaded an AI-powered digital health product strategy that improved market penetration by 15% through tight roadmap alignment and stakeholder coordination. In addition, I designed automated data workflows in Azure DevOps and Power Automate that enhanced transparency and traceability by 30%, and built self-service Power BI dashboards connected to enterprise datasets, reducing manual reporting efforts by 40%.
I directed a large-scale AEM Cloud migration by defining program milestones, success metrics, and managing cross-functional execution across 5+ global teams, ultimately accelerating MVP delivery by 30%. I also spearheaded an AI-powered digital health product strategy that improved market penetration by 15% through tight roadmap alignment and stakeholder coordination. In addition, I designed automated data workflows in Azure DevOps and Power Automate that enhanced transparency and traceability by 30%, and built self-service Power BI dashboards connected to enterprise datasets, reducing manual reporting efforts by 40%.
Sept 2023 – Nov 2024
Sept 2023 – Nov 2024
Product Analyst | New Jersey Institute of Technology, United States
Product Analyst | New Jersey Institute of
Technology, United States
I led the end-to-end delivery of digital learning analytics platforms impacting 10,000+ users, leveraging SQL and Tableau to generate data-driven insights. I developed visualization dashboards that tracked engagement and performance KPIs, enabling academic stakeholders to optimize decision-making. Additionally, I managed Jira sprint planning, backlog prioritization, and roadmap execution to maintain delivery consistency across multi-team dependencies. I also implemented A/B testing frameworks to evaluate user experience, resulting in a 25% increase in conversion rates.
I led the end-to-end delivery of digital learning analytics platforms impacting 10,000+ users, leveraging SQL and Tableau to generate data-driven insights. I developed visualization dashboards that tracked engagement and performance KPIs, enabling academic stakeholders to optimize decision-making. Additionally, I managed Jira sprint planning, backlog prioritization, and roadmap execution to maintain delivery consistency across multi-team dependencies. I also implemented A/B testing frameworks to evaluate user experience, resulting in a 25% increase in conversion rates.
Jun 2023 – Sep 2023
Jun 2023 – Sep 2023
AI Product Analyst | Cognizant, United States
AI Product Analyst | Cognizant, United States
I conducted data analysis on unstructured datasets using SQL, Python, and NLP to uncover process inefficiencies that informed product strategy. I also built predictive ML models for customer behavior analysis, reducing support ticket resolution time by 40%. Additionally, I designed and deployed a Generative AI chatbot POC that improved contextual accuracy and user engagement by 15%.
I conducted data analysis on unstructured datasets using SQL, Python, and NLP to uncover process inefficiencies that informed product strategy. I also built predictive ML models for customer behavior analysis, reducing support ticket resolution time by 40%. Additionally, I designed and deployed a Generative AI chatbot POC that improved contextual accuracy and user engagement by 15%.