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Smriti Rastogi

@smritirastogi

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I build scalable backend systems, GenAI automation, and financial analytics platforms.

India

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What I'm looking for

I'm looking to build scalable, secure backend and cloud-native systems, apply GenAI to high-impact automation, and partner closely with product and business stakeholders on ambiguous problems.

At JP Morgan Chase & Co., I build backend systems for capital markets and wealth management, including equity exposure analytics, regulatory capacity monitoring, and advisor-facing planning workflows.

I developed a FastAPI and Azure OpenAI call-summarization platform that scaled fund due-diligence coverage across 600+ funds and saved 1,000+ hours of analyst review. I also replaced an Excel-based portfolio analysis process with a Python/Pandas service and React dashboard that supports real-time scenario modeling.

Previously at Shell, I built a Python fuzzy-matching engine that reduced resource matching from days to same-day and developed enterprise search experiences across SharePoint, ServiceNow, and Workday. I enjoy turning ambiguous stakeholder needs into secure, scalable production systems.

Experience

Work history, roles, and key accomplishments

Current

Associate Software Engineer

Current

JP Morgan Chase & Co.

Sep 2024 - Present (2 years 1 month)

Built Python/Pandas ETL backend services for post-trade equity exposure analysis and GenAI-powered call summarization for fund due-diligence. Contributed to a Monte Carlo-based Wealth Plan tool and a capacity dashboard enforcing regulatory investment limits.

Python Pandas fastAPI S3 Kubernetes Azure OpenAI Java Spring Boot React TypeScript Monte Carlo Simulations ETL REST APIs Docker

Software Engineer

Shell

Sep 2020 - Sep 2024 (4 years)

Built backend for a resource-matching application with a Python fuzzy-matching engine, and developed a React/TypeScript client for an enterprise search application. Automated cross-team workflows using ServiceNow integrations.