Vinay B

Engineered an end-to-end, low-latency Kafka trading platform automating real-time market analysis and strategy execution, eliminating manual intervention in trade signal generation. Built AI-enabled MCP market analysis and report generation integrated with custom n8n workflows, plus developed an agentic PDF scanner to reduce manual data entry.

Co-founded and architected a greenfield upskilling platform on GKE, improving user matching efficiency by 200% using an OpenAI RAG + Milvus vector search resume analyzer. Built Kubernetes-hosted, GitOps-managed microservices with modular n8n workflows and automated CI/CD pipelines to speed prototyping and scale operations.

Led core Internal Development Platform (IDP) and Kubernetes container workload initiatives, improving developer onboarding and environment provisioning. Orchestrated EC2-to-Kubernetes migrations that reduced annual cloud expenditure by 20% and cut container image storage by 40%, and improved environment provisioning and upgrade times by 50% via the centralized IDP.

Modernized HPE control-plane services by architecting microservices and implementing a REST-to-NATS bridge to enable interoperability between legacy 4G services and 5G cloud-native architectures. Standardized Istio service mesh deployments with Helm and engineered a secure, multi-tier NATS messaging framework with mTLS to meet internal security standards (100% compliance).

Built core libraries and containerized applications, designing distributed log consolidation to support system modernization from VMs to OpenShift and Kubernetes. Implemented dynamic business rule execution with a JBoss Drools framework and added end-to-end traceability using Spring Sleuth to reduce mean time to repair (MTTR).

Redesigned an eDiscovery platform backend from monolithic architecture to a distributed document processing framework, increasing capacity by at least 5x. Integrated AI/NLP CAAT analytics into the legal discovery pipeline to improve document review efficiency by over 20% and led reliability, security, and infrastructure upgrades including migration to Java 8 and Apache Ignite.

Rebuilt web portal transaction features using Java and Spring MVC with Hibernate, integrating SAP capabilities and supporting secure enterprise data access. Mentored team members on implementation and delivery practices while enhancing REST-based functionality.

Designed eDiscovery suite components for data processing and classification, optimizing performance for legal technology workflows. Developed and integrated features across Java and .NET enterprise stacks including Lucene search and JMS-based messaging.

Built system health monitoring components for GeoProbe and supported the GeoProbe network monitoring product. Developed functionality using C/C++ and Java alongside Oracle database and XML-based data interchange.

Built UMTS/GPRS features for GGSN, improving subscriber activation and resolving system issues. Contributed across embedded and networking stacks using C/C++ and telecom protocols and infrastructure components.

Grade: 3.9 / 4.0

M.S. in Computer Science at the University of North Texas with coursework focus on distributed systems, simulation, mobile agents, NLP, networking, and data structures.