Karthika Shree

CSPO and IBM AI Product manager with nearly 5 years of experience spanning full stack software development and product management in the financial sector. Proven success in leading cross-functional teams to define product goals, execute roadmaps and deliver high-impact financial tools. Adept at relentlessly gathering user feedback to drive iterative design, simplify complex Financial workflows and improve the user experience.

Technical Product Management Consultant at Freddie Mac (Via Hexaware) (2022-09 – Present)

• Took over the modernization of a legacy JSP application to Angular, serving as the primary technical liaison between stakeholders and technical team to accelerate delivery and improve system performance.
• Collaborated with cross-functional teams to define JSON contracts and technical requirements for the Condo tool integration API, achieving a strict 30ms SLA and driving $1.5M in revenue by eliminating multi-system friction for lenders.
• Led the end to end delivery of an interactive loan-quoting interface, prioritizing backlog features that process loan deviation and complex financial math to streamline the seller bidding process.
• Collaborated with underwriting stakeholders to define a roadmap for digitizing manual credit policies into an automated DMN-based rule engine, driving touchless workflows and high deal certainty.
• Developed and maintained a risk based product roadmap for automated workflows, ensuring that all new features aligned strictly with firm-wide audit, compliance and regulatory commitments.
• Partnered with UX teams and technical stakeholders to evolve Figma prototypes into an interactive high-performance frontend tool.
• Worked closely with the domain experts to achieve the product vision and roadmap.
• Collaborated with cross-functional teams to define JSON contracts and technical requirements for API integrations, effectively resolving project issues and minimizing cross impact friction for internal enterprise customers.
• Scaled automated underwriting workflows by leading the product strategy for Specification driven development using Amazon Q and Kiro AI agents, eliminating manual DMN files configurations for Loan Funding conditions to drastically accelerate delivery and reduce time-to-market.
• Designed the conceptual framework for LLM powered research assistant using RAG model to accelerate unstructured document reviews for underwriters.

BE in Computer Engineering – Velammal Institute of Technology