Kavish Sanghvi

About Kavish Sanghvi

As a Product Engineer at Experian, I design and build scalable, reliable software that sits at the intersection of strong backend systems and meaningful product impact. With 3+ years of experience building high‑impact, scalable software, I thrive at the crossroads of backend robustness and delightful user experiences. I have worked across the full software lifecycle, from architecting microservices and modernizing legacy systems to building data-driven and recommendation-based solutions that serve millions of users.Across roles at Experian, Amazon, and TD Bank, I have delivered high-impact platforms using Java, Python, JavaScript (Node.js, React, AngularJS), AWS, Azure, Docker, Kubernetes, Kafka, and CI/CD pipelines. At Amazon, I developed a Java-based recommendation tool that increased sales and supported 2 million+ creators, while at TD Bank, I drove performance gains through SQL optimization and microservices migration, improving system reliability and scalability.In my current role, I focus on building product-driven, governance-compliant solutions, collaborating closely with stakeholders to translate business needs into clean, maintainable, and performant code. I enjoy owning features end-to-end, balancing engineering excellence with real-world product constraints.I am deeply committed to continuous learning and technical growth, and I thrive in collaborative, agile environments. From facilitating scrum ceremonies to troubleshooting production issues, I bring a mix of technical leadership, clear communication, and execution focus to every project.I am passionate about cloud-native large-scale systems, optimizing platforms for performance and reliability, and working with diverse teams to solve complex problems. If you’re looking for an engineer who combines strong technical depth with a product mindset and people-first collaboration, let’s connect.

Experience

1. Product Engineer

   Experian

   Oct 2025 — Present · Mumbai, IN

   Led response time optimization initiatives, identified bottlenecks, implemented code fixes and optimization to eliminate redundant database calls, targeting ~99% RT reduction for consumer credit enquiry workflows• Accelerated engineering productivity by 50–60% using GenAI tools, acting as POC for GenAI evaluation proactively flagging tooling limitations, and influencing team‑level adoption strategies to improve development velocity and analysis quality• Drove high‑impact product and performance enhancements, significantly improving platform stability for India market clients by resolving incidents and projects• Strengthened operational resilience and regulatory accuracy by correcting critical data integrity issues, improving logs, and standardizing SQL queries, directly supporting RBI compliance and reducing audit and reporting risks• Enhanced efficiency and reduced manual effort by optimizing critical utilities, preventing reprocessing of large data files and saving significant human hours and database load

Education

• Thakur Polytechnic

  Associate's (Diploma), Computer Engineering

• Stevens Institute of Technology

  Master of Science - MS, Software Engineering

• SVKM's NMIMS Mukesh Patel School of Technology Management & Engineering

  Bachelor of Technology - BTech, Computer Engineering