Available to hire
I am Rajkumar Velpula, a Python Full Stack Developer based in New York, open to relocation to Seattle, Dallas, Chicago, or San Francisco. I bring 4+ years of hands-on experience building scalable data pipelines, AI/ML models, and cloud-native microservices for Stripe, PayPal, and Accenture. I thrive on delivering high-performance solutions that enhance personalization, reliability, and business outcomes.
I specialize in FastAPI/Django REST, Kafka, ETL/ELT workflows, and real-time streaming systems on AWS and Azure, with PCI-DSS compliance and strong DevOps chops in Docker, Kubernetes, Terraform, and CI/CD. I’m passionate about clean architecture, observability, and delivering measurable improvements in latency, revenue, and user experience.
Language
English
Fluent
Javanese
Intermediate
Afar
Intermediate
Aragonese
Intermediate
Work Experience
Python Developer at Stripe
January 1, 2015 - PresentLed real-time ML microservices and data pipelines to personalize content and optimize ad revenue; refactored legacy services to asynchronous FastAPI-based architectures, reducing latency; built high-performance AI inference pipelines and event-driven microservices; implemented ETL/ELT workflows with Airflow, PySpark, Lambda, S3, Redshift; deployed scalable ML clusters with Terraform, Docker, Kubernetes; built feature stores and vector databases.
Software Engineer at PayPal
January 1, 2025 - October 9, 2025Developed high-throughput Python microservices; integrated ML-driven fraud detection; built AI-based subscription retention models; designed scalable backend services with FastAPI, Django REST, gRPC, and GraphQL; constructed real-time Kafka pipelines for transaction ingestion; containerized services with Docker/Kubernetes; implemented CI/CD pipelines with GitHub Actions/Jenkins; adopted cloud-native AWS/Terraform architecture for elastic scaling; delivered real-time AI personalization to improve checkout conversions.
Python Developer at Accenture
July 1, 2023 - October 9, 2025Spearheaded AI-driven incident detection pipelines reducing MTTR by 43% and triage time by 60%; built real-time telemetry pipelines and FastAPI microservices; developed AI/ML personalization models served via Python REST endpoints; designed data pipelines with Airflow, Kafka, and asyncio; authored cloud-native automation scripts for AWS/Azure with Terraform and Kubernetes; established full-stack observability using OpenTelemetry and Prometheus.
Python Developer at Stripe
January 1, 2015 - PresentLed real-time ML microservices and data pipelines, boosting personalization accuracy by 37% and ad monetization by 22% through processing >10TB/day of user data. Refactored legacy services to asynchronous FastAPI architectures, reducing payment latency by 40% and enabling low-latency checkout across streaming surfaces. Built AI inference pipelines with TensorFlow/PyTorch for real-time scoring, engineered event-driven microservices with FastAPI, gRPC, and Kafka (sub-100ms propagation). Implemented ETL/ELT workflows with Airflow, PySpark, AWS Lambda, S3, and Redshift for real-time analytics. Designed media delivery backends using FFmpeg/WebRTC/Redis. Integrated Stripe APIs and GraphQL gateways for ad billing/subscriptions. Deployed infrastructure with Terraform, Docker, Kubernetes for scalable ML clusters and zero-downtime rollouts. Built feature stores/vector databases (Feast, Pinecone, PostgreSQL) for personalized recommendations.
Software Engineer at PayPal
January 1, 2025 - October 9, 2025Developed high-throughput Python microservices for wallet engine, reducing API latency by 37% and increasing transaction completion rates by 22%. Integrated ML-driven fraud detection to reach 98% accuracy with 30% fewer false positives. Implemented AI-based subscription retention models (Python/PyTorch) recovering $15M+ annually. Designed scalable backend services (FastAPI, Django REST, gRPC, GraphQL) handling millions of daily calls. Built real-time Kafka-based pipelines for transaction ingestion enabling millisecond reconciliation. Containerized services (Docker/Kubernetes, EKS) for zero-downtime global scaling. Established CI/CD pipelines (GitHub Actions, Jenkins) with Pytest/mypy and security scans to ensure PCI-DSS compliance. Used AWS/Linux-based cloud-native architecture (Lambda, S3, DynamoDB, CloudFront) and Terraform IaC. Delivered real-time AI personalization with TensorFlow/MLflow/Redis to optimize checkout and conversions.
Python Developer at Accenture
July 1, 2023 - October 9, 2025Spearheaded AI-driven incident detection pipelines reducing MTTR by 43% and cutting manual triage by 60% across 10K+ engineering nodes. Engineered real-time telemetry with Python (AWS Lambda, Azure Functions), enabling <200ms anomaly detection and integration with ServiceNow/Splunk for proactive recovery. Built scalable AI/ML personalization models (TensorFlow, PyTorch, scikit-learn) served via REST endpoints for alert prioritization. Implemented data pipelines with Airflow, Kafka, and asyncio-based processors for real-time alerts. Developed cloud-native automation scripts (boto3, azure-mgmt, Docker, Kubernetes) for zero-downtime rollouts and audit compliance. Established observability with OpenTelemetry/Prometheus and structured logging (loguru) for full-stack monitoring.
Python Developer at Stripe
January 1, 2015 - PresentLed real-time AI/ML inference pipelines and ML microservices to boost personalization and engagement; built data ingestion pipelines processing >10TB/day for targeted campaigns; migrated legacy Python services to asynchronous FastAPI for sub-100ms checkout latency; designed event-driven architectures with FastAPI, gRPC, and Kafka; implemented ETL/ELT workflows using Airflow, PySpark, AWS Lambda, S3, and Redshift; developed streaming media delivery backends with FFmpeg and Redis caches; integrated Stripe Payments APIs and GraphQL gateways for real-time billing and currency settlements; deployed infrastructure with Terraform, Docker, and Kubernetes for scalable ML clusters; built feature stores and vector DBs (Feast, Pinecone, PostgreSQL).
Software Engineer at PayPal
January 31, 2025 - October 9, 2025Developed high-throughput Python microservices for wallet engine; reduced API latency by 37% and improved transaction completion rates by 22% across global markets; integrated ML-driven fraud detection increasing accuracy to 98% and reducing false positives by 30%; built real-time streaming pipelines with Kafka for transaction ingestion and millisecond reconciliation; delivered backend services using FastAPI, Django REST, gRPC, and GraphQL; containerized with Docker and Kubernetes (EKS) enabling zero-downtime deployments; implemented CI/CD with GitHub Actions and Jenkins ensuring PCI-DSS compliance and audit readiness; leveraged AWS (Lambda, S3, DynamoDB, CloudFront) and Terraform for elastic scaling; built real-time AI personalization models with TensorFlow, PyTorch, Redis to optimize checkout conversion.
Python Developer at Accenture
July 1, 2023 - October 9, 2025Led AI-driven incident detection pipelines reducing MTTR by 43% and cutting manual triage by 60% across 10k+ engineering nodes; built real-time telemetry pipelines and FastAPI microservices using Python (AWS Lambda, Azure Functions) for anomaly detection and integration with ServiceNow and Splunk; developed scalable AI/ML personalization models served via REST endpoints; implemented data pipelines with Airflow, Kafka, and asyncio-based stream processors; created cloud-native automation scripts with boto3 and Azure SDK for zero-downtime rollouts; established observability with OpenTelemetry, Prometheus, and structured logging to ensure full-stack monitoring, auditability, and performance tuning.
Python Developer at Stripe
January 1, 2025 - October 28, 2025Led real-time personalization enhancements and data ingestion pipelines, improving content relevance by 37% and increasing ad monetization revenue by 22% through processing 10TB/day of user interaction data. Refactored legacy services to asynchronous FastAPI architectures, reducing payment latency by 40%. Built AI inference pipelines using TensorFlow and PyTorch for real-time scoring, engineered event-driven microservices with FastAPI, gRPC, and Kafka (sub-100ms propagation), and implemented ETL/ELT workflows with Airflow, PySpark, AWS Lambda, S3, and Redshift. Deployed infrastructure with Terraform, Docker, and Kubernetes for scalable ML clusters; developed feature stores and vector databases with Feast and Pinecone.
Software Engineer at PayPal
January 1, 2025 - January 1, 2025Developed high-throughput Python microservices for wallet engine, reducing API latency by 37% and increasing transaction completion rates by 22% across global markets. Integrated ML-driven fraud detection to boost accuracy to 98% while reducing false positives by 30%. Implemented AI-based subscription retention models using Python and PyTorch, recovering $15M+ in recurring revenue annually. Delivered real-time streaming pipelines with Kafka, containerized services with Docker/Kubernetes, and CI/CD pipelines ensuring PCI-DSS compliance and auditability.
Python Developer at Accenture
July 1, 2023 - July 1, 2023Spearheaded AI-driven incident detection pipelines reducing MTTR by 43% and manual ticket triage by 60%. Built real-time telemetry pipelines and FastAPI microservices, enabling 200ms anomaly detection and integration with ServiceNow and Splunk. Developed scalable AI/ML personalization models and data pipelines with Airflow, Kafka, and asyncio-based stream processing. Implemented cloud-native automation with boto3 and Azure SDK for zero-downtime rollouts, and established full-stack observability with OpenTelemetry and Prometheus.
Python Developer at Stripe
January 1, 2025 - November 3, 2025Led the development of real-time ML microservices and data pipelines, increasing personalization accuracy by 37% and accelerating ad monetization revenue by 22%. Refactored legacy services to asynchronous FastAPI, reducing payment latency by 40%. Built AI inference pipelines with TensorFlow and PyTorch; implemented event-driven microservices using FastAPI, gRPC, and Kafka; designed ETL/ELT workflows with Apache Airflow, PySpark, AWS Lambda, S3, and Redshift; deployed infrastructure with Terraform, Docker, and Kubernetes. Designed streaming media delivery backends using FFmpeg, WebRTC, and Redis caches integrated with Python services for adaptive bitrate content delivery. Integrated Stripe Payments APIs and GraphQL gateways into Shepherd services to support real-time ad billing, subscription handling, and cross-border currency settlements.
Python Developer at Stripe
January 1, 2025 - November 20, 2025Led development of real-time ML microservices and data pipelines to boost personalization and ad monetization. Refactored legacy payment services to asynchronous FastAPI models, reducing latency. Built AI inference pipelines with TensorFlow and PyTorch for real-time scoring and personalized experiences. Implemented event-driven microservices using FastAPI, gRPC, and Kafka to enable sub-100ms message propagation. Designed ETL/ELT workflows with Airflow, PySpark, AWS Lambda, S3, and Redshift to power real-time dashboards. Deployed scalable ML clusters with Terraform, Docker, and Kubernetes; built feature stores using Feast and Pinecone for personalized recommendations.
Software Engineer at PayPal
February 1, 2024 - January 31, 2025Developed high-throughput Python microservices for PayPal’s wallet engine, reducing API latency by 37% and increasing transaction completion rates by 22% across global markets. Integrated ML-driven fraud detection into payment workflows, boosting fraud prevention accuracy to 98% while cutting false positives by 30%. Built AI-based subscription retention models using Python and PyTorch, recovering over $15M in recurring revenue annually by preventing churn. Designed and deployed backend services with FastAPI, Django REST, gRPC, and GraphQL to handle millions of payment and wallet API calls daily. Implemented real-time Kafka-based pipelines for transaction ingestion, enabling millisecond-level reconciliation and ledger synchronization. Containerized microservices with Docker, Kubernetes (EKS), and Helm, ensuring zero-downtime deployments and rapid global scaling. Established CI/CD pipelines (GitHub Actions, Jenkins) with Pytest, mypy, and security scans to ensure PCI-DSS compliance and
Python Developer at Accenture
July 1, 2020 - July 31, 2023Spearheaded development of AI-driven incident detection pipelines reducing mean-time-to-resolution (MTTR) by 43% and cutting manual ticket triage by 60% across 10K+ engineering nodes. Built real-time telemetry pipelines and FastAPI microservices using Python (AWS Lambda, Azure Functions), enabling 200ms anomaly detection and seamless integration with ServiceNow and Splunk for proactive service recovery. Built scalable AI/ML personalization models using TensorFlow, PyTorch, and scikit-learn, served via Python REST endpoints to dynamically prioritize alerts and remediation actions. Implemented data pipelines with Apache Airflow, Kafka, and asyncio-based Python stream processors to handle continuous operational telemetry and trigger real-time alerts. Developed cloud-native automation scripts with boto3, azure-mgmt, Docker, and Kubernetes, enabling zero-downtime rollouts, horizontal scaling, and compliance with enterprise audit controls. Established robust observability and tracing using O
Education
Master’s in Business Analytics at Webster University
January 11, 2030 - October 9, 2025Master's in Business Analytics at Webster University
January 11, 2030 - October 9, 2025Master’s in Business Analytics at Webster University
January 11, 2030 - October 9, 2025Master’s in Business Analytics at Webster University
January 11, 2030 - October 28, 2025Master's in Business Analytics at Webster University
January 11, 2030 - November 3, 2025Master’s in Business Analytics at Webster University
January 11, 2030 - November 20, 2025Master’s in Business Analytics at Webster University
January 11, 2030 - December 16, 2025Master’s in Business Analytics at Webster University
January 11, 2030 - January 30, 2026Master's in Business Analytics at Webster University
January 11, 2030 - February 16, 2026Master's in Business Analytics at Webster University
January 11, 2030 - February 23, 2026Qualifications
AWS Certified Data Engineer - Associate
January 11, 2030 - October 9, 2025PCAP - Certified Associate in Python Programming
January 11, 2030 - October 9, 2025AWS Certified Data Engineer - Associate
January 11, 2030 - October 9, 2025PCAP - Certified Associate in Python Programming
January 11, 2030 - October 9, 2025Azure Data
January 11, 2030 - October 9, 2025AWS Certified Data Engineer - Associate
January 11, 2030 - October 9, 2025PCAP - Certified Associate in Python Programming
January 11, 2030 - October 9, 2025Azure Data
January 11, 2030 - October 9, 2025AWS Certified Data Engineer - Associate
January 11, 2030 - October 28, 2025PCAP - Certified Associate in Python Programming
January 11, 2030 - October 28, 2025Azure Data
January 11, 2030 - October 28, 2025AWS Certified Data Engineer - Associate
January 11, 2030 - November 3, 2025PCAP - Certified Associate in Python Programming
January 11, 2030 - November 3, 2025Azure Data Certification
January 11, 2030 - November 3, 2025AWS Certified Data Engineer - Associate
January 11, 2030 - November 20, 2025PCAP - Certified Associate in Python Programming
January 11, 2030 - November 20, 2025Azure Data Certification
January 11, 2030 - November 20, 2025AWS Certified Data Engineer - Associate
January 11, 2030 - December 16, 2025PCAP - Certified Associate in Python Programming
January 11, 2030 - December 16, 2025Azure Data Certification
January 11, 2030 - December 16, 2025AWS Certified Data Engineer - Associate
January 11, 2030 - January 30, 2026PCAP - Certified Associate in Python Programming
January 11, 2030 - January 30, 2026AWS Certified Data Engineer - Associate
January 11, 2030 - February 16, 2026PCAP - Certified Associate in Python Programming
January 11, 2030 - February 16, 2026Azure Data
January 11, 2030 - February 16, 2026AWS Certified Data Engineer - Associate
January 11, 2030 - February 23, 2026PCAP - Certified Associate in Python Programming
January 11, 2030 - February 23, 2026Azure Data
January 11, 2030 - February 23, 2026Industry Experience
Software & Internet, Financial Services, Media & Entertainment, Professional Services, Other
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