saiprudhvibojja

Lead Data Scientist and Backend Architect specializing in fintech ERP platforms, payment reconciliation, settlement validation, and financial forecasting across distributed microservices environments. I design and ship GenAI and RAG solutions using LangChain, LLM APIs, and vector databases such as Pinecone to automate reporting, document intelligence, and decision support for enterprise users. I have architected AI-driven ERP and analytics platforms serving 5,000+ users in fintech and logistics, delivering 40% manual effort reduction, 42% API performance improvement, 35% query latency reduction, and 15+ production AI features with 98% code coverage and zero critical incidents.

My experience spans MLOps (MLflow, model registry, model monitoring, drift detection, A/B testing), time series forecasting (ARIMA, Prophet, LSTM), and scalable data platforms on Azure and AWS using Docker, Kubernetes, and CI/CD pipelines. I build event-driven, GDPR-compliant data architectures with strong data governance, data lineage, and audit trails, ensuring data residency and sovereignty awareness, regulatory reporting automation, and compliance-ready ETL pipeline design for regions such as Ireland, the Netherlands, and Luxembourg.

On the backend side, I engineer secure, resilient microservices using FastAPI and .NET Core C# with OAuth 2.0, JWT, RBAC, Redis, API Gateway patterns, and distributed caching to support high-throughput fintech workloads. I enjoy mentoring teams on system design, database optimization, and deployment strategies to deliver robust, observable platforms with Prometheus, Grafana, and SLA-focused monitoring. Open to visa-sponsored roles in Dubai, Abu Dhabi, Ireland, Netherlands, and Luxembourg.