Available to hire
Hi, I’m Jagadeesh, a software engineer with 4+ years of experience designing and building scalable backend and full-stack systems in cloud environments. I specialize in Python, React/TypeScript, and AWS, creating robust REST APIs and microservices that are reliable and cost-efficient.
I enjoy turning complex business requirements into solid technical solutions and collaborating with cross-functional teams in Agile environments. I’ve built data pipelines, integrated ML models, and crafted dashboards to monitor performance, latency, and cost, delivering production-grade systems that improve efficiency.
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Work Experience
Software Engineer at Amazon
May 1, 2025 - PresentDesigned and deployed scalable backend microservices using Python and FastAPI, supporting foundation model inference workflows in AWS Bedrock and SageMaker, ensuring high availability and fault tolerance. Engineered distributed orchestration for prompt routing and dynamic model selection, optimizing compute utilization and reducing infrastructure costs by 20%. Built RESTful APIs and event-driven microservices, containerized with Docker and deployed via CI/CD pipelines, improving deployment reliability. Provisioned cloud infrastructure using Terraform, enabling reproducible and scalable production environments. Developed data pipelines to process text, image, and video data, leveraging Hugging Face Transformers and LangChain, improving RAG workflows by 25%. Integrated and monitored ML models in production with PyTorch and TensorFlow, supporting domain-specific AI applications. Created React/TypeScript dashboards for monitoring system performance, model latency, and cost efficiency. Mana
Software Engineer at PwC
January 1, 2020 - July 1, 2023Developed scalable ETL pipelines and SQL workflows to modernize ERP processes, replacing manual spreadsheets with automated solutions. Built vendor profiling and supplier segmentation systems using Python and Pandas, enabling data-driven sourcing decisions across multiple regions. Automated material planning, reporting, and reconciliation workflows, reducing month-end close timelines by 40%. Designed product margin and profitability analysis pipelines, providing actionable insights at product- and location-levels. Integrated finance and operations data into centralized reporting layers and developed React/TypeScript dashboards for real-time analytics and cross-team visibility.Implemented data validation and monitoring frameworks, ensuring accuracy across procurement, manufacturing, and sales datasets. Streamlined inventory valuation and cost management using Python automation, reducing discrepancies by 30%. Collaborated with cross-functional teams to translate complex business requirem
Education
Master’s degree in computer and information systems at Saint Louis University
January 1, 2023 - January 1, 2025Qualifications
AWS Cloud Practitioner Essentials
January 11, 2030 - March 16, 2026Python
January 11, 2030 - March 16, 2026Microsoft Power BI for Business Intelligence
January 11, 2030 - March 16, 2026SQL Server Integration/Analysis/Reporting Services
January 11, 2030 - March 16, 2026SQL & Data Warehouse
January 11, 2030 - March 16, 2026Industry Experience
Software & Internet, Professional Services, Media & Entertainment
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Expert
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