08/16/2026 updated


100 % available
Backend Software Engineer | Java, Spring Boot, Microservices & Agentic AI
Kolhapur, India
Worldwide
Bachelor of Technology in Computer Science and EngineeringAbout me
Backend Software Engineer specializing in high-scale, event-driven systems and agentic AI workflows. I build fintech infrastructure in Java and Spring Boot — recently cut financial report latency by 95% and built a payment router less decision times. Fine-tune LLMs for domain-specific automation.
Java (Programming Language)Application Programming Interfaces (APIs)Python (Programming Language)Messaging Application Programming InterfaceRedisBlockchainSystems IntegrationWeb Application DevelopmentSpring CloudSpring BootBackendBackend ProgrammingLow LatencyApache FlinkDeployment Automation
Java & Spring Boot Microservices
Expertise in architecting and deploying domain-specific microservices using Java and Spring Boot, ensuring scalability, clear service boundaries, and zero-downtime independent deployments across Finance, HRMS, and CRM domains.
Agentic AI & LLM Integration
Specialization in designing agentic AI workflows and integrating LLMs using Spring AI (MCP), HuggingFace, and OpenAI for real-time automation, financial query understanding, and automated ledger analysis.
Event-Driven Architecture with Apache Kafka & Redis
Proficiency in engineering event-driven data pipelines using Apache Kafka and Redis, implementing idempotent consumers, Redis-lock-based deduplication, and exactly-once correctness for high-volume transactional systems.
Concurrency & JVM Optimization
Knowledge of multithreading, Executors, Thread Pools, Synchronization, JVM Tuning, and async processing to build high-performance, low-latency backend systems.
Databases: PostgreSQL, MySQL, MongoDB, Redis
Experience with relational and NoSQL databases including PostgreSQL, MySQL, MongoDB, and Redis for scalable data modeling, caching, and persistence in production environments.
Cloud & DevOps
Hands-on experience with AWS, Docker, Git, CI/CD pipelines, Jenkins, Prometheus, and Grafana for system observability, deployment automation, and infrastructure monitoring.
Frontend Development
Capability in building full-stack web applications using React, Redux, AngularJS, HTML5, CSS3, and Tailwind CSS, with real-time data synchronization via WebSockets.
Blockchain & Smart Contracts
Experience designing tamper-proof systems using Ethereum smart contracts deployed on Sepolia Testnet, with backend services exposing blockchain data via REST APIs for transparency dashboards.
Python-based Anomaly Detection & AI Pipelines
Development of Python-based anomaly detection pipelines for flagging suspicious financial transactions and building AI-powered pipelines for spending pattern detection and behavioral insights.
System Design & Distributed Systems
Strong foundation in distributed systems, system design, low-latency architecture, reliability engineering, OOP, and design patterns applied to enterprise-scale fintech platforms.
Expertise in architecting and deploying domain-specific microservices using Java and Spring Boot, ensuring scalability, clear service boundaries, and zero-downtime independent deployments across Finance, HRMS, and CRM domains.
Agentic AI & LLM Integration
Specialization in designing agentic AI workflows and integrating LLMs using Spring AI (MCP), HuggingFace, and OpenAI for real-time automation, financial query understanding, and automated ledger analysis.
Event-Driven Architecture with Apache Kafka & Redis
Proficiency in engineering event-driven data pipelines using Apache Kafka and Redis, implementing idempotent consumers, Redis-lock-based deduplication, and exactly-once correctness for high-volume transactional systems.
Concurrency & JVM Optimization
Knowledge of multithreading, Executors, Thread Pools, Synchronization, JVM Tuning, and async processing to build high-performance, low-latency backend systems.
Databases: PostgreSQL, MySQL, MongoDB, Redis
Experience with relational and NoSQL databases including PostgreSQL, MySQL, MongoDB, and Redis for scalable data modeling, caching, and persistence in production environments.
Cloud & DevOps
Hands-on experience with AWS, Docker, Git, CI/CD pipelines, Jenkins, Prometheus, and Grafana for system observability, deployment automation, and infrastructure monitoring.
Frontend Development
Capability in building full-stack web applications using React, Redux, AngularJS, HTML5, CSS3, and Tailwind CSS, with real-time data synchronization via WebSockets.
Blockchain & Smart Contracts
Experience designing tamper-proof systems using Ethereum smart contracts deployed on Sepolia Testnet, with backend services exposing blockchain data via REST APIs for transparency dashboards.
Python-based Anomaly Detection & AI Pipelines
Development of Python-based anomaly detection pipelines for flagging suspicious financial transactions and building AI-powered pipelines for spending pattern detection and behavioral insights.
System Design & Distributed Systems
Strong foundation in distributed systems, system design, low-latency architecture, reliability engineering, OOP, and design patterns applied to enterprise-scale fintech platforms.
Experience
Professional experience0 - 5 years
Freelancer since2025
Languages
EnglishFluentHindiNative speakerJapaneseBasic knowledge
Project history
Reduced financial report generation time by 95% using parallel query execution, Redis caching, and async Spring Batch processing. Architected 11 domain-specific microservices across Finance, HRMS, and CRM. Engineered event-driven pipelines with Apache Kafka and Redis. Designed agentic AI-integrated backend services using Spring Boot and Spring AI (MCP). Built Python-based anomaly detection pipelines and fine-tuned LLMs via HuggingFace. Improved system observability with Prometheus and Grafana dashboards.
Architected a fault-tolerant, real-time payment routing platform supporting UPI, cards, and digital wallets with sub-30ms routing decisions. Implemented idempotent Kafka consumers with Redis-lock deduplication for exactly-once transaction processing. Integrated AI-driven agentic self-healing workflows for automatic routing rule adjustment. Validated scalability via load testing with failure isolation and graceful degradation.
Engineered a personalized AI financial advisor using fine-tuned LLMs with reinforcement-style feedback loops. Built secure backend REST APIs for authentication, financial data ingestion, and analytics. Designed scalable NoSQL data models in MongoDB and implemented JWT-based auth with role-based access control.