Shreya Kumari

Software Engineer

New Delhi, Delhi, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Proficient in Java, Python, and Spring Boot.
Optimized Spring Boot environment reducing onboarding time by 30%.
Integrated Kafka for high scalability in enterprise systems.

Stackforce AI infers this person is a Backend-focused Software Engineer in the Fintech industry.

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Skills

Core Skills

JavaSpring BootGrafana

Other Skills

MySQLSQLObject Oriented DesignRedisKafkaKibanaGitHubApache KafkaH2REST APIFastAPILangChainLangGraphRetrieval-Augmented Generation (RAG)Model Context Protocol (MCP)

About

Aspiring Software Engineer with a passion for transforming complex problems into elegant solutions. Proficient in Java, Python, and Spring Boot, I specialize in crafting robust applications that marry efficiency with scalability. My foundation in data structures and algorithms empowers me to write clean, optimized code that stands the test of time. Driven by curiosity and a commitment to continuous learning, I thrive in collaborative environments where innovation meets impact. Whether it's building backend systems or exploring new technologies, I approach each challenge with enthusiasm and a problem-solving mindset. Let's connect and explore how we can build the future together.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

J.p. morgan

Software Engineer Intern (Virtual)

Aug 2025 – Feb 2026 · 6 mos · India · Remote

TechStack : Java, Spring Boot, MySQL, SQL, Object Oriented Design(LLD), Redis, Kafka, Grafana, Kibana, GitHub.
Configured and optimized a Spring Boot development environment, reducing onboarding/setup time by ∼ 30% for new
developers.
Integrated Apache Kafka into Spring microservices, enabling real-time message streaming at ∼ 50,000 events/second in
test simulations, showcasing high scalability for enterprise-grade systems.
Implemented an H2 in-memory database integration, improving unit test execution speed by ∼ 40% compared to
external DB setups.
Connected a Spring Boot service with an external REST API, handling up to ∼ 1,000 concurrent requests with ¡200 ms
average response time during load testing.
Designed and exposed RESTful APIs with proper versioning and error handling, increasing service reusability and
supporting horizontal scalability across multiple microservices.
Built monitoring dashboards using Grafana, Kibana, and New Relic, improving incident detection time by ∼ 25% and
enabling proactive system health monitoring.