Headline

Backend Engineer · Java · Spring Boot · Kafka · Redis | 55% API latency reduction · 99.5% uptime across 10+ microservices | Open to SDE-1/SDE-2 roles

About

I build backend systems that stay up when things go wrong, and get faster while doing it. At Deloitte, I engineered distributed microservices handling 40K to 60K+ API requests/day across a Java and Spring Boot stack. Here's what I shipped: 55% API latency reduction (320ms - 140ms) using Redis distributed caching, optimized MySQL indexing, and async REST patterns. 99.5% service availability across 10+ microservices using Resilience4j circuit breakers, retry, and bulkhead patterns. 40% throughput improvement by replacing synchronous bottlenecks with an Apache Kafka event pipeline processing 500K+ events/day. ~30% fewer production defects by building Jenkins CI/CD pipelines with JUnit + Mockito test coverage at ~80%. 35% faster incident detection via Prometheus metrics and Grafana dashboards across distributed services. What I work with: Java · Spring Boot · Apache Kafka · Redis · MySQL · Resilience4j · JUnit · Mockito · Jenkins · Prometheus · Grafana · JMeter · Multithreading · Microservices · System Design · LLD · OOP What I'm building on the side: An AI-powered Expense Tracker (LLM + Java backend + structured categorization) and a Concurrent Ticket Booking System (thread safety, distributed locking, high-concurrency design). Both are on GitHub — link below. What I'm looking for: Backend SDE-1 / SDE-2 roles at product-first companies where reliability and performance actually matter. Open to Java/Spring Boot stacks. Based in Bengaluru - open to relocation or remote. GitHub: github.com/Praveenhash

Location

Bengaluru

AI stack

claude

gemini

github copilot

openai

Chroma

Microsoft Copilot

Work experience

Java Software Engineer at Deloitte, Jan 2022 - Aug 2024 · 2 yrs 8 mos, Bengaluru, Karnataka, India, Eliminated inter-service blocking by 45% by architecting an Apache Kafka async event pipeline (500K+ events/day) to replace high-frequency synchronous service calls across 5+ Spring Boot microservices, validated under 1K+ concurrent users via JMeter. Achieved 99.5% service availability (up from ~97%) by implementing Resilience4j circuit breaker, retry, and bulkhead patterns across 10+ microservices, preventing cascading failures during downstream outages at peak traffic. Reduced average API latency by 55% (320ms - 140ms) and cut database load significantly during peak windows by introducing Redis distributed caching and optimizing MySQL schema, indexing strategies, and pagination queries. Cut production defects by ~30% across release cycles by building Jenkins CI/CD pipelines with automated JUnit + Mockito unit and integration tests, raising code coverage to ~80%. Reduced mean time to detect production incidents by ~35% by implementing Prometheus metrics + Grafana dashboards monitoring API latency, error rates, and service health across distributed microservices.

Education

Advanced DSA & Distributed System Designs, Bosscoder Academy

Bachelor of Engineering - BE, Electronics and Instrumentation Engineering, Visvesvaraya Technological University