Kavish Sanghvi — Product Engineer

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.

Stackforce AI infers this person is a Fintech and E-commerce software engineer with strong backend and microservices expertise.

Location: Mumbai, Maharashtra, India

Experience: 1 yr 5 mos

Skills

Java
Microservices
Agile

Career Highlights

3+ years of experience in scalable software development.
Expertise in backend systems and microservices architecture.
Proven track record of enhancing system performance and user engagement.

Work Experience

Experian

Product Engineer (5 mos)

TD

Software Engineer (1 yr 7 mos)

Amazon

Software Development Engineer (1 yr)

Stevens Institute of Technology

Research Assistant (3 mos)

Graduate Teaching Assistant (3 mos)

Education

Master of Science - MS at Stevens Institute of Technology

Bachelor of Technology - BTech at SVKM's NMIMS Mukesh Patel School of Technology Management & Engineering

Associate's (Diploma) at Thakur Polytechnic

Kavish Sanghvi

Product Engineer

Mumbai, Maharashtra, India1 yr 5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

3+ years of experience in scalable software development.
Expertise in backend systems and microservices architecture.
Proven track record of enhancing system performance and user engagement.

Stackforce AI infers this person is a Fintech and E-commerce software engineer with strong backend and microservices expertise.

Contact

sanghvikavish@gmail.com LinkedIn

Skills

Core Skills

JavaMicroservicesAgile

Other Skills

API ManagementAWSAWS CloudFormationAgile MethodologiesAgile Project ManagementAmazon AthenaAmazon CloudWatchAmazon DynamoDBAmazon EC2Amazon QuickSightAmazon RedshiftAmazon S3Amazon Seller CentralAmazon Simple Notification Service (SNS)AngularJS

About

Experience

Experian

Product Engineer

Oct 2025 – Present · 5 mos · Mumbai, Maharashtra, India · Hybrid

Td

Software Engineer

Aug 2023 – Mar 2025 · 1 yr 7 mos · New York, New York, United States · Hybrid

Developed and optimized trading analytics solutions using Java for equity and trading options, enhancing risk assessment accuracy
Migrated legacy applications to microservices architecture using Spring Boot, improving scalability and maintainability
Streamlined API management for real-time data processing, increasing response by 35% and enhancing processing speed
Optimized SQL queries and stored procedures, reducing query execution time by 25% and improving database efficiency
Revamped user experience using React.js and AngularJS, reducing page load times by 30% and improving user engagement
Automated CI/CD pipelines using Jenkins and AWS CodeDeploy, reducing deployment failures by 60% and accelerating release cycles by 50%
Executed load tests using JMeter to simulate peak trading conditions, reducing production defects by 35%

JavaSpring BootMicroservicesSQLReact.jsAngularJS+2

Amazon

Software Development Engineer

Jul 2022 – Jul 2023 · 1 yr · New York, New York, United States · Hybrid

Boosted Amazon sales by recommending substitutes for out-of-stock items using Java, benefiting a network of 2M+ creators
Achieved 93% code coverage by implementing unit tests and integration tests using Mockito and JUnit, enhancing software reliability
Designed and deployed real-time dashboards using Amazon QuickSight, enabling data-driven decision-making for partner teams by visualizing business KPIs and inventory trends
Led Agile ceremonies as Scrum Master, facilitating sprint planning, retrospectives, and daily scrum meetings, ensuring cross-functional alignment between product, engineering, and management stakeholders
Reduced recurring customer and internal tickets by 85% through root cause analysis and long-term fixes, consistently meeting SLA targets and improving system stability
Prevented holiday peak outages with zero customer impact by scaling AWS instances and implementing real-time monitoring strategies, ensuring seamless performance during high-traffic events
Led team of five engineers during critical holiday sales, serving as primary liaison for Amazon executives and ensuring operational excellence, earning leadership recognition

JavaMockitoJUnitAmazon QuickSightReact.jsAgile

Stevens institute of technology

2 roles

Research Assistant

Feb 2022 – May 2022 · 3 mos · Hoboken, New Jersey, United States · On-site

• Researched AI-driven 5G wireless communication platforms, enhancing transparency and resilience through advanced causality analysis and formal reasoning methodologies

Graduate Teaching Assistant

Sep 2021 – Dec 2021 · 3 mos · Hoboken, New Jersey, United States · Remote

•Mentored and evaluated 20+ students in SSW 810: Special Topics in Systems Centric Software Engineering (Python) course, providing guidance on coding practices and debugging, resulting 15% improvement in overall class performance, while supporting Dr. Zhongyuan Yu with curriculum development and grading