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“I’m a Full Stack Software Engineer with 5 years of experience building scalable, secure web applications. I specialize in Python (FastAPI, Django), modern JavaScript frameworks (React, Next.js), and cloud-native architectures on AWS and Azure. At Stripe, I developed event-driven payment workflows and AI/ML-powered fraud detection pipelines, improving operational efficiency by 35%. I enjoy delivering high-impact fintech solutions, collaborating in Agile teams, and leveraging my skills in microservices, CI/CD, and cloud infrastructure to solve complex problems efficiently.”…“I’m a Full Stack Software Engineer with 5 years of experience building scalable, secure web applications. I specialize in Python (FastAPI, Django), modern JavaScript frameworks (React, Next.js), and cloud-native architectures on AWS and Azure. At Stripe, I developed event-driven payment workflows and AI/ML-powered fraud detection pipelines, improving operational efficiency by 35%. I enjoy delivering high-impact fintech solutions, collaborating in Agile teams, and leveraging my skills in microservices, CI/CD, and cloud infrastructure to solve complex problems efficiently.”

Alekhya Patcha

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“I’m a Full Stack Software Engineer with 5 years of experience building scalable, secure web applications. I specialize in Python (FastAPI, Django), modern JavaScript frameworks (React, Next.js), and cloud-native architectures on AWS and Azure. At Stripe, I developed event-driven payment workflows and AI/ML-powered fraud detection pipelines, improving operational efficiency by 35%. I enjoy delivering high-impact fintech solutions, collaborating in Agile teams, and leveraging my skills in microservices, CI/CD, and cloud infrastructure to solve complex problems efficiently.”…“I’m a Full Stack Software Engineer with 5 years of experience building scalable, secure web applications. I specialize in Python (FastAPI, Django), modern JavaScript frameworks (React, Next.js), and cloud-native architectures on AWS and Azure. At Stripe, I developed event-driven payment workflows and AI/ML-powered fraud detection pipelines, improving operational efficiency by 35%. I enjoy delivering high-impact fintech solutions, collaborating in Agile teams, and leveraging my skills in microservices, CI/CD, and cloud infrastructure to solve complex problems efficiently.”

Available to hire

“I’m a Full Stack Software Engineer with 5 years of experience building scalable, secure web applications. I specialize in Python (FastAPI, Django), modern JavaScript frameworks (React, Next.js), and cloud-native architectures on AWS and Azure. At Stripe, I developed event-driven payment workflows and AI/ML-powered fraud detection pipelines, improving operational efficiency by 35%. I enjoy delivering high-impact fintech solutions, collaborating in Agile teams, and leveraging my skills in microservices, CI/CD, and cloud infrastructure to solve complex problems efficiently.”

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Software Engineer at Stripe

November 1, 2024 - Present

Designed and implemented Python backend services using FastAPI, Django REST Framework (DRF), and Ariadne (GraphQL) to power event-driven payment workflows, reducing manual transaction processing by 50% and enabling ML-driven fraud detection pipelines. Developed React dashboards with TypeScript, Redux, and Tailwind CSS, providing real-time analytics and AI-powered anomaly detection, improving investigation efficiency by 35%. Built a scalable microservices stack with Docker, Kubernetes (AWS EKS), and Helm to support high-volume financial data pipelines with 99.9% uptime. Engineered RESTful and GraphQL APIs integrating Stripe Radar, Sigma, and third-party services, enforcing OAuth2/JWT authentication for secure, compliant transactions. Managed PostgreSQL and MongoDB for transaction data and fraud-rule storage, improving query performance by 40%. Implemented asynchronous event-driven systems with Kafka, Kafka Streams, Celery, and Redis Streams to process millions of transactions in real ti

Software Engineer at Microsoft

December 1, 2023 - October 10, 2025

Engineered scalable backend APIs using Python (FastAPI/Flask) with REST and GraphQL endpoints powering ML inference services and edge device integrations. Built modern web frontends with React.js, TypeScript, Redux, and Tailwind CSS, delivering real-time dashboards for gesture recognition and IoT data visualization. Designed secure authentication flows with OAuth2, JWT, and Azure Active Directory for enterprise-grade identity management. Optimized data storage using PostgreSQL, MongoDB, and Azure CosmosDB, ensuring high availability for structured and unstructured telemetry data. Implemented WebSocket and SignalR-based real-time communication between edge devices and dashboards. Automated deployments with Docker, Kubernetes (AKS), Azure DevOps pipelines, and GitHub Actions for CI/CD and zero-downtime releases. Leveraged Azure Cloud Services (Functions, Blob Storage, IoT Hub, Service Bus) to handle distributed event-driven workflows and big data ingestion from edge devices. Implemented