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Hi there! I’m a software developer with 3+ years of experience delivering full-stack solutions and GenAI-enabled workflows for finance and marketing analytics. I enjoy turning complex problems into efficient data pipelines, REST APIs, and responsive UI using Java, Python, FastAPI, and React. I also love applying prompt engineering and NLP models to real-world business challenges. During my time at BNY Mellon, Epsilon, and TCS, I’ve built AI-assisted document processing, data ingestion pipelines, and scalable microservices that improve accuracy and reduce manual effort. I value clean code, collaboration, and continuous delivery, and I’m excited to keep growing in GenAI, cloud CI/CD, and data-driven software.…Hi there! I’m a software developer with 3+ years of experience delivering full-stack solutions and GenAI-enabled workflows for finance and marketing analytics. I enjoy turning complex problems into efficient data pipelines, REST APIs, and responsive UI using Java, Python, FastAPI, and React. I also love applying prompt engineering and NLP models to real-world business challenges. During my time at BNY Mellon, Epsilon, and TCS, I’ve built AI-assisted document processing, data ingestion pipelines, and scalable microservices that improve accuracy and reduce manual effort. I value clean code, collaboration, and continuous delivery, and I’m excited to keep growing in GenAI, cloud CI/CD, and data-driven software.

RAJESWARI AMRUTHA BOMMARAJU

Full Stack Developer, Front-End Developer, Web Developer, +2

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Hi there! I’m a software developer with 3+ years of experience delivering full-stack solutions and GenAI-enabled workflows for finance and marketing analytics. I enjoy turning complex problems into efficient data pipelines, REST APIs, and responsive UI using Java, Python, FastAPI, and React. I also love applying prompt engineering and NLP models to real-world business challenges. During my time at BNY Mellon, Epsilon, and TCS, I’ve built AI-assisted document processing, data ingestion pipelines, and scalable microservices that improve accuracy and reduce manual effort. I value clean code, collaboration, and continuous delivery, and I’m excited to keep growing in GenAI, cloud CI/CD, and data-driven software.…Hi there! I’m a software developer with 3+ years of experience delivering full-stack solutions and GenAI-enabled workflows for finance and marketing analytics. I enjoy turning complex problems into efficient data pipelines, REST APIs, and responsive UI using Java, Python, FastAPI, and React. I also love applying prompt engineering and NLP models to real-world business challenges. During my time at BNY Mellon, Epsilon, and TCS, I’ve built AI-assisted document processing, data ingestion pipelines, and scalable microservices that improve accuracy and reduce manual effort. I value clean code, collaboration, and continuous delivery, and I’m excited to keep growing in GenAI, cloud CI/CD, and data-driven software.

Available to hire

Hi there! I’m a software developer with 3+ years of experience delivering full-stack solutions and GenAI-enabled workflows for finance and marketing analytics. I enjoy turning complex problems into efficient data pipelines, REST APIs, and responsive UI using Java, Python, FastAPI, and React. I also love applying prompt engineering and NLP models to real-world business challenges.

During my time at BNY Mellon, Epsilon, and TCS, I’ve built AI-assisted document processing, data ingestion pipelines, and scalable microservices that improve accuracy and reduce manual effort. I value clean code, collaboration, and continuous delivery, and I’m excited to keep growing in GenAI, cloud CI/CD, and data-driven software.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Full Stack Developer at BNY Mellon

February 1, 2026 - Present

Built a GenAI-based document processing module using Python, LangChain, and enterprise-secured LLM APIs, enabling automated ingestion and parsing of 8K financial records per cycle, reducing manual review effort by 70 hours per quarter. Engineered REST APIs with FastAPI and PostgreSQL, integrating transaction workflows across 4 systems and handling 3K daily requests, improving query efficiency for downstream reporting systems. Created a React.js and TypeScript dashboard displaying real-time portfolio data for 2 teams, reducing report preparation time by 10 hours per month. Improved NLP pipelines using Hugging Face Transformers and PyTorch, enhancing compliance classification across 6K documents and preventing 140 classification errors per release cycle. Optimized CI/CD workflows using Docker and GCP Cloud Build, managing build and deployment processes for 7 microservices, shortening release timelines by 1 day per sprint while maintaining zero Sev-1 production defects.

Software Engineer at Epsilon

August 1, 2025 - January 31, 2026

Implemented data ingestion pipelines using Python and Pandas, processing 5K marketing records per batch and enforcing data quality rules, reducing inconsistencies across 6 reporting workflows and improving dataset reliability. Developed backend services with Flask and MySQL, supporting campaign tracking workflows and enabling integration across 3 internal systems, minimizing data processing delays in reporting cycles. Built and optimized ETL workflows using Apache Airflow, applying problem-solving to schedule and monitor 20+ daily jobs, preventing pipeline failures and reducing rerun instances by 15 per month. Integrated a GenAI-based text classification utility leveraging spaCy and scikit-learn, applying prompt engineering to structure inputs for ~4K customer interaction logs, improving tagging consistency across labeling workflows. Designed a web interface built with HTML, CSS, and JavaScript, delivering campaign performance data for internal users and standardizing data views across

Software Developer at TCS

May 1, 2020 - June 30, 2023

Architected microservices modules with Java (Spring Boot), implementing OAuth 2.0 authentication for secure API access, delivering 5 production releases and reducing defect leakage by 45 issues per release cycle. Constructed data processing scripts with Python and NumPy, transforming 12K+ transactional records per batch, improving data accuracy and reducing reconciliation gaps across 4 reporting pipelines. Modernized legacy components with Hibernate and Oracle SQL, refactoring 8 core modules, enhancing query performance and reducing batch job failures by 18 instances per month. Automated test suites with JUnit and Selenium, validating 150+ test cases across 3 application layers, increasing test coverage and preventing 60 defects before production deployment. Optimized build and deployment workflows with Maven, Git, and AWS EC2, executing 10 build validations and supporting deployments across 3 environments, reducing rollback incidents by 6 cases. Delivered UI enhancements with JSP and