Aniruddha Maruti Jadhav

Roles and Responsibilities

• Introduced and led the development of FlowWeaver, an internal platform built using Java (Spring Boot), Python (FastAPI), Apache Kafka and React to visualize and analyze complex financial system workflows.
• Designed and implemented microservices and REST APIs using Spring Boot and FastAPI to process banking and financial data across multiple upstream trading and reporting systems.
• Integrated GitHub Copilot GPT 5.2 within FlowWeaver to enable AI-assisted summarization of financial reports and system dependencies, improving engineering productivity and troubleshooting efficiency.
• Led a team of 10 developers, providing architectural guidance and mentoring on microservices architecture, API design, and backend best practices.
• Collaborated with cross-functional engineering and finance teams to design scalable backend services and improve system reliability.

Key Achievements

• Architected and launched FlowWeaver, a microservices-based platform combining Spring Boot, FastAPI, React, and GitHub Copilot GPT 5.2 Integration to automate financial workflow analysis.
• Built an AutoSys job dependency visualizer that automatically maps upstream and downstream system relationships across financial applications.
• Recognized on the engineering floor as the Solution Architect for the FlowWeaver research initiative and led its technical direction and implementation.
• Nominated for Vice President (VP) role consideration following the successful delivery and adoption of the FlowWeaver platform.
• Improved team productivity by 70% and reduced financial report analysis time by 40% through automation and intelligent system visualization.

Roles and Responsibilities

• Designed and developed enterprise backend services using Java, Spring Boot, Apache Kafka, and Microservices architecture across banking, trading, and retail domains.
• Built REST APIs and distributed microservices, integrating Spring Boot backend with Angular, and React frontends for scalable enterprise platforms.
• Implemented SAGA pattern-based workflows for reliable, distributed transactions across microservices.
• Developed automation and backend utilities using Python (Flask/FastAPI) to support analytics and operational processes.
• Led code reviews, mentoring, and technical design discussions, ensuring scalable and maintainable architecture.

Key Achievements

• Goldman Sachs improved Order Management System performance by 35% by optimizing Spring Boot microservices and trading validation services.
• ASDA: Built Java Spring Boot and Azure applications, integrating heterogeneous systems, and implemented Angular UI and Appium automation, reducing QA effort by 60%.
• Lloyds Banking Group developed a microservices-based data platform using Spring Boot and BigQuery, enabling real-time financial dashboards.
• Built automation tools using Java and Python, saving 250+ developer hours per quarter.

Roles and Responsibilities

• Designed and developed full-stack enterprise applications using Java, Spring Boot, Spring Data, Angular, and React, following microservices architecture.
• Built REST APIs and backend microservices with Java Spring Boot and Python (FastAPI/Flask) to support scalable business workflows.
• Implemented SAGA pattern–based orchestration to manage distributed transactions across microservices.
• Developed and deployed containerized applications using Docker and Kubernetes, with CI/CD pipelines in Jenkins.
• Led a small engineering team, conducting code reviews, mentoring developers, and ensuring scalable system design and delivery quality.
• Delivered multiple enterprise products for Disney and Bayer, integrating Java Spring Boot microservices with Angular and React frontends.
• Promoted from SDE 2 to SDE 3 for strong technical ownership and leadership in backend architecture and system design.

Introduced automation and DevOps practices using Jenkins, Docker, and Kubernetes, improving team productivity and deployment efficiency.

Roles & Responsibilities

• Developed and maintained Java-based microservices using Spring Boot and Spring Data, deployed on AWS cloud infrastructure.
• Built REST APIs and backend services to process and transform data from AWS S3, SNS, SQS, EC2, LAMBDA, Dynamo DB enabling integration with downstream microservices.
• Implemented automated testing using JUnit to ensure application reliability, maintainability, and code quality.
• Contributed to CI/CD pipelines using Jenkins, and supported containerized deployments with Docker and Kubernetes.
• Achieved 100% JUnit test coverage for a critical Spring Boot service, significantly improving system reliability and maintainability.
• Optimized backend workflows and microservice integrations, reducing manual data processing, and improving operational efficiency.
• Gained hands-on experience in cloud-native microservices architecture on AWS, strengthening expertise in scalable backend system design.

Roles & Responsibilities

• Designed and developed LogSearch, a scalable log analytics platform using Java, Spring Boot, and Microservices architecture.
• Built REST APIs with Spring Boot and Spring Data and integrated Apache Solr to index and query 10M+ logs in near real-time.
• Developed Angular/React-based UI modules for advanced log filtering and analysis across distributed systems.
• Reduced manual log analysis effort by 85%, significantly improving debugging and operational efficiency.
• Built a production-grade, distributed platform, later acquired by Hortonworks, and integrated into the Apache ecosystem.