P

Praveen Rana

CTO

Delhi, India0 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • 24+ years in enterprise software and AI innovation.
  • Led AI transformation in financial services.
  • Developed advanced Agentic AI framework.
Stackforce AI infers this person is a Fintech AI/ML Architect specializing in autonomous systems and cloud-native solutions.

Contact

Skills

Core Skills

Ai/mlCloud & DataMlops

Other Skills

Agentic AIAutonomous workflowsCloud architectureCost reductionEnterprise ArchitectureFinancial ServicesFinancial forecastingGenerative AIPerformance optimizationPredictive analyticsWorkflow automation

About

I am a Senior AI/ML & Cloud Architect with 24+ years of experience in enterprise software, data analytics, and AI innovation. Over the past six years, I have led AI/ML-driven transformation in financial services, modernizing platforms to deliver predictive insights, risk intelligence, and scalable cloud-native solutions. Most recently, I have been developing a general-purpose Agentic AI framework as part of my independent research. This framework is goal-driven, autonomous, and adaptive, capable of planning and executing complex workflows with minimal human input. It reflects my passion for advancing autonomous agents, generative AI, and MLOps practices to shape the future of enterprise AI. Career Highlights: - Delivered AI-driven enhancements at Fiserv, improving financial forecasting accuracy and enabling hundreds of banks and credit unions to make better decisions. - Migrated legacy financial analytics platforms to cloud-native, scalable architectures, cutting costs and boosting performance. - Prototyped GenAI-powered workflows that reduced product development cycles by 40%. - Currently advancing Agentic AI research with applications in finance, automation, and enterprise productivity. Core Expertise: ✅ AI/ML – Predictive analytics, LLMs, Agentic AI, Generative AI ✅ MLOps – Model deployment, automation, monitoring (MLflow, Kubeflow, SageMaker) ✅ Cloud & Data – AWS, Kubernetes, Docker, Spark, SQL/NoSQL ✅ Enterprise Architecture – Scalable platforms, modernization, microservices ✅ Financial Services – Banking, payments, credit, lending, and investment systems Career Vision: To transition into ML Solutions Architect / Principal ML Engineer roles where I can apply agentic AI, large-scale ML architectures, and autonomous workflows to deliver high-impact transformation in banking, fintech, and data-driven enterprises. Let’s connect to discuss AI-driven transformation, financial analytics, and the future of agentic AI in the enterprise.

Stackforce found 100+ more professionals with Ai/ml & Cloud & Data

Explore similar profiles based on matching skills and experience