Drashti Panchal
Software Engineer @Brex
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WORK HISTORY
Software Engineer @Brex
US
Engineered scalable spend automation and insights platforms using Python, FastAPI, and Django, collaborating closely with product, finance, and data teams.Designed microservices architectures with Kafka, Celery, PostgreSQL, Redis, and asynchronous processing, improving system efficiency and reducing latency.Integrated Anthropic Claude via AWS Bedrock for automated expense categorization and policy interpretation, significantly reducing manual review errors.Built secure REST and GraphQL APIs supporting React dashboards and real-time analytics.Developed responsive React + TypeScript dashboards with Redux, WebSockets, and GraphQL subscriptions for real-time insights.Managed CI/CD pipelines, containerization, and deployments on AWS EKS, achieving high availability with robust observability using Prometheus and Grafana.
EDUCATION
Arizona State University
Master's degree, Computer Science
Gujarat Technological University
Bachelor of Engineering - BE, Computer Engineering
ABOUT DRASHTI PANCHAL
I am a Software Engineer with 3+ years of experience building scalable, secure, and high-performance web applications across backend, frontend, and cloud platforms. I specialize in designing microservices architectures, REST and GraphQL APIs, and cloud-native systems using Python, FastAPI, Django, React, and AWS.I work at Brex, where I develop spend automation and insights platforms, integrate AI models for intelligent expense categorization, and build real-time dashboards that power enterprise financial workflows. I have hands-on experience with asynchronous systems, Kafka, Celery, Kubernetes, CI/CD pipelines, and observability tools to ensure reliability and performance at scale.Previously, at Standard Chartered Bank, I worked on core banking systems, real-time dashboards, and secure financial APIs, supporting high-throughput transaction processing and compliance-driven applications.I enjoy solving complex problems, collaborating across teams, and leveraging AI and cloud technologies to deliver impactful software solutions. I am actively interested in backend, full-stack, and platform engineering roles where I can build systems at scale.
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