--- title: "Anand Prasad G C - Staff Software Engineer in Greater Bengaluru Area | Tal" description: "Meet Anand Prasad G C, Staff Engineer building Agentic AI systems for payments & fraud detection | LangGraph, AWS, Kubernetes | 11+ yrs in Java, DevOps & Financial Tech based in Greater Bengaluru Area. AI stack includes anthropic apis, claude code, and claude." image: "https://tal.club/meet/anand-prasad-g-c/share-image" --- # Anand Prasad G C on Tal ## Headline Staff Engineer building Agentic AI systems for payments & fraud detection \| LangGraph, AWS, Kubernetes \| 11\+ yrs in Java, DevOps & Financial Tech ## About I build AI agents that catch fraud, diagnose failures, and fix infrastructure problems before people even notice them — mostly inside payments and transaction systems, where a missed failure or a false fraud flag actually costs money\. For the last several years I've been deep in agentic AI: multi\-agent systems built with LangChain and LangGraph, running on AWS and Kubernetes, with the observability and governance layer \(Langfuse, version\-controlled prompts\) to make sure they're auditable and trustworthy — not just clever demos\. A few things I'm proud of: Built an AI monitoring system that spots transaction failures and likely fraud before they escalate, cutting monitoring effort by 30% Designed a Kubernetes incident\-response agent that triages logs, retries fixes, and recommends resolutions on its own — it cut our mean time to resolution in half Led the migration of our AI infrastructure from on\-prem to AWS with full CI/CD automation, which dropped infrastructure maintenance effort by 60% Before AI became my main focus, I spent over a decade in Java, distributed systems, and enterprise payments — things like HSM integrations, cryptographic key management, and high\-throughput Kafka pipelines\. That background is a big part of why I build AI systems that hold up in regulated, high\-stakes environments instead of falling apart outside a sandbox\. Right now I'm looking for Staff/Principal Engineer or Architect roles where I can keep building agentic AI systems that solve real operational problems — ideally somewhere the stakes are high enough that reliability and governance actually matter\. Always happy to connect with people working on AI architecture, platform engineering, or fintech\. ## Location Greater Bengaluru Area ## AI stack anthropic apis claude code claude hugging face ollama openai ## Work experience Staff Software Engineer at Visa, Jun 2024 \- Present · 2 yrs 4 mos, Bangalore Urban, Karnataka, India, • Architect and implement enterprise\-grade multi\-agent AI systems for transaction monitoring, fraud detection, failure analysis, and intelligent chatbot workflows using LangChain, LangGraph, and Weaviate\. • Designed AI\-powered monitoring capabilities to identify transaction failures and potential fraud, recommend probable root causes, and enable earlier failure detection, reducing monitoring effort by 30%\. • Implemented enterprise AI governance and observability using Langfuse and version\-controlled prompts, improving AI accuracy by 20% while enabling real\-time traceability and auditability\. • Established a real\-time PII protection pipeline using Microsoft Presidio, strengthening data security and supporting PCI compliance requirements\. • Built an AI\-powered validation agent using LangGraph, LangSmith, CrewAI, Claude Opus, and Gemini Flash to automate test execution, performance validation, deployments, security scans, and log analysis, reducing time to production by 15%\. • Designed a dynamic router\-agent framework coordinating 7\+ AI teams, integrating Valkey for similarity search, contextual memory, intent routing, model selection, and token optimization, reducing redundant flows by 40%\. • Led the migration of AI infrastructure from on\-premises to AWS, implementing CI/CD automation using Jenkins, Argo CD, Terraform, and Amazon EKS, reducing infrastructure maintenance effort by 60%\. • Built an autonomous Kubernetes incident triage and remediation agent capable of analyzing logs and pod health, retrying recovery actions, and recommending resolutions, reducing Mean Time to Resolution \(MTTR\) by 50%\. • Designed and architected Hazelcast in\-memory infrastructure for sharing common configurations and distributed maps across systems, improving application performance by 10%\. sr software engineer at Visa, Dec 2020 \- Jun 2024 · 3 yrs 7 mos, bangalore, • Designed and developed a Near Real\-Time Payments Feed• using Apache Kafka• to deliver real\-time payment transaction data to acquirers, supporting reconciliation and early detection of financial settlement failures\. • Re\-architected a Spring Boot application• into a reactive Vert\.x architecture• to support high\-throughput transaction processing and improve application scalability\. • Integrated Apache Kafka and Apache Flink ML models• for real\-time fraud transaction detection and migrated the application to Kubernetes• for containerized deployment and scalability\. • Implemented application and infrastructure observability using Prometheus and Grafana, improving visibility into system health, resource utilization, and operational performance\. • Designed and developed an API layer for Payments HSM integrations, enabling socket\-based communication with multiple HSM distributors while isolating HSM\-specific commands and integrations\. • Built a GraphRAG knowledge platform• using Neo4j and FAISS• to centralize payments domain knowledge, merchant requirements, and processor specifications, enabling more efficient knowledge retrieval and contextual responses\. • Implemented HashiCorp Consul and Vault• for service discovery, health checks, credential management, and certificate management, establishing centralized service discovery and secrets management\. • Designed and implemented Ansible playbooks• for server configuration and infrastructure automation, reducing manual configuration activities by 30%• and saving 10\+ hours per week• across the team\. • Designed and built Spring Batch and IBM MQ architecture for asynchronous processing and system decoupling, enabling efficient chunk\-based processing of large data volumes and improving application performance\. • Designed and developed a cloud\-based payment application framework• supporting data\-localization requirements• across multiple countries, enabling deployment across geographically distributed environments\. Senior Software Engineer at TEKsystems, Jun 2019 \- Dec 2020 · 1 yr 7 mos, Bengaluru, Karnataka, India, • Migrated java Microservices to Dockerized services\. And created Docker swarm files to deploy on docker swarm environment\. Used Hashicorp Consul and Vault for service discovery, health check, persisting credentials and persisting certificates\. This helped in scalability, making it modularized and creating a centralized service discovery and secret management\. • Created and implemented Ansible playbooks, resulting in a 30% reduction in manual configuration tasks and freeing up 10\+ hours per week for team members to focus on high\-priority tasks\. Configured the servers using Ansible and Jenkins\. • Designed and Built Spring Batch and IBM Mq architecture to handle asynchronous data processing and decoupling systems\. The design and architecture helped to process large volumes of data and process data in chunks and improving performance\. • Designed and developed a payment application proprietary framework for cloud\-based deployment which can be used in countries with Data Localization\. The framework was built on shift\-left principle so that applications can be deployed on various cloud providers such as AWS and GCP\. Associate Consultant at Capgemini, Mar 2015 \- Jun 2019 · 4 yrs 4 mos, Bangalore,India, • Migrated a monolithic Java/JEE application to a modular Spring SOA architecture, replacing JDBC/DAO implementations with Hibernate ORM to improve maintainability and application performance\. • Developed Spring Boot microservices packaged as Docker containers and deployed them on container platforms such as OpenShift, supporting the organization's cloud transformation initiatives\. • Contributed to cloud transformation projects by designing and developing APIs around existing application capabilities and progressively transforming them into microservice\-based architectures\. • Designed and implemented Spring Batch and Spring Integration solutions for scheduled batch processing and integration with various infrastructure components\. • Designed and implemented automated CI/CD pipelines using Jenkins and Bash, integrating automated test execution, Sonar code\-quality scans, and deployments across QA and production environments\. • Reduced manual validation activities and shortened the application release cycle from bi\-weekly to twice per week through CI/CD automation\. • Managed AWS infrastructure, including EC2, RDS, S3, Auto Scaling, and Elastic Load Balancing \(ELB\) to support application deployments and cloud environments\. • Configured AWS SNS for infrastructure alerting and leveraged Splunk for application and server monitoring, enabling deeper analysis of error patterns and unusual system behavior\. • Automated server configuration and application deployment using Chef and Ansible, implementing infrastructure and configuration management as code\. • Built a Python\-based ETL pipeline to extract regional retail sales data across database tables and securely transfer the processed data to regional offices using SFTP\. • Collaborated closely with Solution Architects to design and implement technical solutions aligned with business requirements\. ## Education Bachelor of Engineering \(B\.E\.\), Electrical, Electronics and Communications Engineering, A\.M\.C\. 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