Saraswati Ramineedi
Newark,CA
Summary
Software engineer with 6 years of experience building backend solutions for complex, large-scale systems in the cloud. Strong background in building reliable services and infrastructure, with growing focus on supporting machine learning workloads in production environments. Experienced in enabling data-driven applications, streamlining deployment processes, and integrating modern AI capabilities into scalable platforms.
Overview
7
7
years of professional experience
Work History
Software Engineer
Nordstrom
Atlanta, GA
05.2023 - 08.2025
- Implemented LLM-powered document intelligence service to automate vendor catalog ingestion across thousands of brand vendors, for streamlining vendor onboarding and accelerating time-to-catalog.
- Designed sequential LLM extraction pipeline processing various documents using OCR, document classification.
- Extracted SKU features and generated customer-facing product titles using LLM.
- Used RAG framework to retrieve buyer trend insights and generate SKU-level trend scores by product category.
- Implemented pipeline components as microservices and deployed on ECS via cloudformation.
- Wrote modular Python code following engineering best practices for reliability and quality.
Software Developer
Verizon
Atlanta, GA
06.2021 - 04.2023
- Built and maintained backend microservices using Java and Spring Boot for high-availability telecom platform services
- Developed RESTful and gRPC-based APIs for service-to-service communication across distributed systems
- Built batch data pipelines using Apache Airflow to process financial transaction files ingested from a data lake
- Established CI/CD pipelines using Jenkins for automated builds, testing, and deployments
Software Developer
Wells Fargo
India
03.2018 - 10.2019
- Developed batch data processing workflows using airflow to handle large volumes of financial transactions with accuracy and reliability
- Developed API-driven customer onboarding and document verification services to support loan eligibility assessment
- Implemented structured logging using Splunk across customer onboarding and document verification services for traceability and audit compliance
- Translated banking and compliance requirements into reliable backend service implementations
Education
Bachelor of Engineering Technology - Computer Science
Jawaharlal Nehru Technological University(JNTU) Kakinada
India 05-2014
Skills
- Languages: Python, Java
- ML Platform & GenAI: LLM Integration, RAG, Vector Databases, AI Agents, Model Context Protocol (MCP), AutoGen, Bedrock, LangChain, OpenAI
- Backend & APIs: Microservices Architecture, REST & gRPC Services, FastApi, Flask
- Cloud & DevOps: AWS (ECS, SageMaker, Textract), Docker, CloudFormation, Terraform, CI/CD, Jenkins
- Data & Workflow: Airflow, OCR-Based Document Processing, splunk(logging), S3, MySQL, MLflow, CloudFormation, Langsmith
Timeline
Software Engineer
Nordstrom
05.2023 - 08.2025
Software Developer
Verizon
06.2021 - 04.2023
Software Developer
Wells Fargo
03.2018 - 10.2019
Bachelor of Engineering Technology - Computer Science
Jawaharlal Nehru Technological University(JNTU) Kakinada