Available to hire
I’m a software engineer with 5 years of experience designing and delivering scalable backend services, real-time data pipelines, and interactive dashboards. I specialize in Python and Node.js, building robust APIs with FastAPI, Flask, and Django REST, and I enjoy turning complex problems into maintainable solutions.
I have hands-on experience across cloud, containerization, and observability, empowering finance and moderation teams with live insights and reliable automation. I’m passionate about performance, reliability, and mentoring others to adopt best practices.
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Work Experience
Software Engineer at Stripe
April 1, 2024 - PresentBuilt backend services using Python, FastAPI, Django REST Framework, and Node.js to manage real-time financial reporting, risk scoring and anomaly detection workflows across global datasets. Developed RESTful and GraphQL APIs powering internal dashboards and tools for finance and risk teams to access real-time transaction, account and compliance data. Integrated Kafka streams with Python consumers to process high-volume audit logs, system alerts and risk events, achieving 99% reliability and reducing processing latency by 20%. Implemented real-time analytics pipelines using Apache Spark, PySpark, Kafka Streams and Redis to monitor financial KPIs, detect anomalies and calculate risk scores, improving reporting speed by 25%. Managed PostgreSQL for structured reporting data and MongoDB for flexible metadata, including risk rules, thresholds and client-specific configurations. Created interactive dashboards with React.js, TypeScript, Chart.js and Material UI for anomalies, exposure metrics
Software Engineer at Meta India
June 1, 2020 - July 1, 2023Designed and deployed Flask and FastAPI REST APIs to enable real-time classification, flagging, and routing of posts across Facebook and Instagram. Built React and TypeScript dashboards for moderation teams to review flagged content, audit actions, and monitor compliance. Developed high-throughput asynchronous pipelines with Kafka and Celery, leveraging Redis caching to reduce response latency by 28% and ensure near real-time processing. Designed scalable PostgreSQL and MongoDB schemas for moderation logs and audit trails, ensuring GDPR and CCPA compliance while maintaining high query efficiency. Automated data pipelines using PySpark and Airflow, reducing preparation time by 40% and accelerating backend workflows. Utilized AWS S3, Redshift and DynamoDB for scalable storage, analytics, and compliance reporting across high-volume moderation workloads. Containerized microservices with Docker, orchestrated deployments on Kubernetes, and automated CI/CD pipelines using Jenkins and GitHub A
Education
Master of Science in Computer and Information Science at Saint Louis University, USA
January 11, 2030 - December 15, 2025Qualifications
Industry Experience
Software & Internet, Financial Services, Media & Entertainment
Experience Level
Expert
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Intermediate
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