Bhishmadev Ghosh

Software Engineer

Pune City, Maharashtra, India11 mos experience

Key Highlights

Expert in modernizing legacy systems to cloud-ready architectures.
Achieved 22% processing speed improvement in high-throughput systems.
Ranked in the Top 1% globally on LeetCode for algorithmic problem-solving.

Stackforce AI infers this person is a Backend Engineer specializing in SaaS with expertise in scalable architecture.

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Skills

Core Skills

Spring BootDistributed SystemsMicroservicesCloud Architecture

Other Skills

ActiveMQRESTful WebServicesJava 17Jakarta EEHibernateAWSKafkaSpring BatchSystems DesignSpring FrameworkPostgreSQLAmazon Web Services (AWS)Apache KafkaMavenSoftware Engineering Practices

About

I’m a Software Engineer specializing in building high-performance Distributed Systems and Microservices that drive product scalability. I lead the end-to-end development of enterprise Java applications, recently managing a critical migration to Spring Boot 3.4 and Java 17 to resolve complex breaking changes and modernize the data access layer for AWS cloud readiness. I focus on building resilient backend architectures using Kafka, Redis, and Spring Boot to handle high-concurrency environments. By implementing atomic reservations and server-side caching, I’ve optimized system performance for my projects like FluxCart (E-commerce) and TicketHive (Booking Engine), reducing query latency from 2 seconds to sub-300ms. Ranked as a LeetCode Guardian in the Top 1% globally, I apply advanced algorithmic problem-solving to ensure product reliability and efficiency. I am open to SDE-I or Backend Engineering roles where I can leverage my expertise in scalable architecture and system design to build impactful products. Let’s connect

Experience

11 mos

Total Experience

11 mos

Average Tenure

11 mos

Current Experience

Tata consultancy services

Software Engineer (Backend Developer)

Jul 2025 – Present · 11 mos · On-site

Spearheaded the strategic modernization of legacy Spring 5 services to Spring Boot 3.4 & Java 17, refactoring complex XML-based configurations into type-safe Java definitions and eliminating technical debt associated with legacy patterns.
Orchestrated the transition to Jakarta EE, successfully resolving 50+ breaking changes across the dependency tree while ensuring zero functional regression during the upgrade.
Optimized high-throughput asynchronous pipelines by upgrading Spring Batch and ActiveMQ, and modernized the caching layer (Ehcache 2 -> 3), resulting in a 22% improvement in processing speed and reduced database load.
Engineered a Cloud-Ready Data Layer by migrating to Hibernate 6 and adopting Java 17 Records, reducing boilerplate code by ~40% and decoupling dependencies to facilitate a seamless AWS Cloud Migration.
Owned the resolution of P0/P1 production incidents, leading Root Cause Analysis (RCA) for high-latency endpoints. successfully mitigated database overload risks by enforcing efficient pagination strategies, preventing OOM (Out of Memory) errors under high concurrency .

ActiveMQRESTful WebServicesSpring BootJava 17Jakarta EEHibernate+3