Glasgow, Scotland, United Kingdom
I architect, engineer, and ship production AI agents and the cloud-native systems they run on. For 16 years I've been the person enterprise teams turn to when something complex needs to actually ship. Today that means working across three parallel lanes: greenfield cloud architecture on AWS and Azure, governed Data Mesh platforms for enterprise data at scale, and production agentic AI on Amazon Bedrock each one reinforcing the next. What that's looked like in practice: a Data Mesh serving 9M+ wealth management clients, 120+ microservices in a Connected Car platform with Microsoft, mission-critical modernization for Tier-1 banks and government, and agentic AI systems deployed in regulated environments with the compliance trails enterprises actually need to ship. Hands-on across the stack: Java, Spring Boot, Kafka, Python, C#, LangChain, Bedrock. Cloud migration, serverless and microservices architectures aligned with the AWS Well-Architected Framework. Currently going deeper on agentic systems and the architecture patterns that make production-grade AI possible. You can find more of my work at: 🌐 Website → praveenmantena.com ✍️ Writing → medium.com/@praveen.mantena.kumar 💻 Code → github.com/praveenmantena
Lead cloud architecture and modernization initiatives for enterprise financial platforms, designing scalable, secure, and production-grade cloud-native solutions on AWS. Defined reference architectures aligned with the AWS Cloud Adoption Framework (CAF) and AWS Well-Architected Framework, increasing platform scalability by 30% and improving system performance by 25% through microservices and cloud-native transformation. Architected and delivered a Data Mesh platform serving 9M+ wealth management clients, enabling domain-driven data ownership, governed data products, and event-driven integration using Kafka, while distributing analytics data across multi-cloud platforms including Snowflake, Starburst, and Kafka ecosystems. Received CTO recognition for architectural leadership. Led major modernization initiatives including MuleSoft-to-Spring Boot migration and zero-downtime object storage migration to Amazon S3 for large-scale financial workloads. Designed AI-powered autonomous agents using RAG and GPT-4, leveraging LangChain and MongoDB knowledge bases to enable intelligent automation and enterprise knowledge workflows with guardrails for secure AI interactions. Established CI/CD and infrastructure automation using Terraform, Harness, Spinnaker, and Jenkins, and led containerized deployments using Amazon Elastic Container Service (Amazon ECS). Implemented cloud cost optimization strategies using AWS Compute Optimizer, Lambda Power Tuning, and CloudWatch Insights to improve infrastructure efficiency and cost visibility.
Designed and delivered cloud-native, microservices-based solutions on PCF, building scalable data platforms and API-driven integration layers for enterprise systems. Developed backend services using Java, Spring Boot, and Spring Cloud to enable secure data exchange across distributed systems. Implemented RESTful APIs integrated with services such as S3-compatible object storage and enterprise messaging systems. Engineered data platforms leveraging Oracle, SQL Server, Sybase, ArangoDB, and Redis, enabling structured and unstructured data processing at scale. Integrated OCR extraction models for intelligent data retrieval and document processing, transforming unstructured content into structured datasets for downstream analytics and automation workflows. Established CI/CD and infrastructure automation using Jenkins, Terraform, Docker, and Git, supported by centralized logging and observability via ELK and Splunk.
Worked as consultant at Microsoft client location. Part of the core team at a Microsoft client, contributing to the Ford Connected Car platform on Azure, scaling to 120+ microservices using Azure-native services. Supported large-scale data migrations (File Storage,DocumentDB) ensuring seamless transition and data integrity. Improved application performance using Redis caching and secured services with Azure Key Vault. Managed APIs via Azure API Management and implemented circuit breaker patterns for resilient microservices communication. Developed Angular-based front-end applications, along with SharePoint and Prism components for modular enterprise UI solutions. Automated scheduled operations using Azure Scheduler.
Improved client satisfaction by 20% by enhancing product features aligned with digital banking and SOC (Security Operations Center) requirements. Designed and developed SOC portals supporting Digital Banking operations, enabling secure monitoring, reporting, and operational workflows. Enhanced database performance by 30% using Spring Web MVC and Hibernate, optimizing data access layers and transaction handling. Developed REST and SOAP-based web services, generated and tested WSDLs using SOAP UI to ensure reliable inter-system communication. Contributed to automated builds and deployments using Ant, Maven, and Hudson, implemented reusable components, conducted code reviews, and executed JUnit-based testing following TDD practices.