# Abhishek Kumar

## Contact
- LinkedIn: https://linkedin.com/in/abhiskum
- Medium: https://medium.com/@abhishek68
- Website: https://devninja.in

## Summary

Enterprise Architect and Senior Principal Software Engineer with 18+ years of experience designing, modernizing, and scaling enterprise software platforms across cloud-native, distributed, and AI-enabled ecosystems. Specialize in defining architecture for business-critical platforms, driving large-scale technology transformations, and building resilient systems that integrate seamlessly across heterogeneous enterprise landscapes.

Proven track record of leading architectural initiatives spanning Master Data Management (MDM), enterprise integrations, cloud migrations, event-driven platforms, and AI-powered automation while balancing scalability, security, reliability, and long-term maintainability.

Architected multiple strategic platforms that replaced commercial SaaS products with internally engineered solutions, significantly reducing operational cost while improving flexibility, governance, and delivery velocity.

Experienced in designing high-throughput distributed systems, defining enterprise integration patterns, evolving data contracts, and establishing engineering standards adopted across organizations.

Currently focused on enterprise AI platforms, Agentic AI, LLM integration, Model Context Protocol (MCP), intelligent workflow automation, and production-grade AI infrastructure.

Passionate about enabling engineering organizations through technical leadership, architectural governance, mentoring, and pragmatic innovation.

## Experience

### Senior Principal Software Engineer
**Red Hat**

- Define architecture and technical direction for enterprise AI initiatives as part of the Red Hat IT AI Factory
- Lead architecture for AI integration platforms enabling model onboarding, skill orchestration, agent lifecycle management, deployment pipelines, governance, and enterprise security controls
- Establish reusable architectural patterns for production-ready AI systems, enabling multiple engineering teams to accelerate AI adoption consistently
- Architected the strategic modernization of Product and Party Master Data Management platforms by replacing proprietary Informatica SaaS solutions with internally engineered platforms
- Defined target architecture, migration strategy, integration patterns, and rollout approach that enabled business continuity with zero downtime while significantly reducing licensing and operational costs
- Redesigned catalog architecture for Derived and Alternate SKUs, simplifying downstream event processing and improving Kafka-based analytical data flows
- Architect enterprise integration platforms connecting business-critical applications through scalable APIs, asynchronous messaging, and event-driven workflows
- Designed enterprise orchestration platforms including Hydra and Technology Partner Data Hub, enabling retirement of legacy Salesforce implementations while simplifying partner onboarding
- Establish architectural standards for service communication, data contracts, resiliency, observability, and operational scalability across integration services
- Led architecture for migration of enterprise applications including Bugzilla and Jira from monolithic deployments to cloud-native microservices running on Red Hat OpenShift Dedicated
- Architected high-performance object storage solutions migrating enterprise attachment infrastructure from NFS to Amazon S3, supporting uploads exceeding 250 GB while improving performance, scalability, and operational efficiency
- Drive adoption of AI capabilities across enterprise platforms using LangChain, IBM watsonx Orchestrate, Vertex AI (Gemini), and Llama Stack
- Design agent-based workflows, AI-assisted data validation, intelligent document processing, and automated operational processes that augment enterprise business workflows
- Establish architecture patterns for integrating LLMs into enterprise systems while maintaining governance, security, compliance, and responsible AI practices
- Lead architecture reviews, security design assessments, and enterprise compliance initiatives across strategic platforms
- Drive Enterprise Security Standards (ESS), ASCA readiness, threat modeling, and secure-by-design practices as integral components of solution architecture
- Partner with cross-functional engineering, infrastructure, security, and product organizations to ensure architectural consistency across enterprise platforms

## Technical Skills

### Architecture & Design
- Enterprise Solution Architecture
- Distributed Systems Design
- Event-Driven Architecture
- Domain-Driven Design (DDD)
- Integration Architecture
- API Strategy & Platform Engineering
- Cloud-Native Architecture
- Architecture Governance

### Cloud & Infrastructure
- Red Hat OpenShift
- AWS
- Google Cloud Platform (GCP)
- Kubernetes
- Kafka
- Microservices
- Quarkus
- Spring Boot
- Apache Camel

### AI & Machine Learning
- Enterprise AI Platforms
- Agentic AI
- LLM Integration
- LangChain
- IBM watsonx Orchestrate
- Vertex AI (Gemini)
- Llama Stack
- Model Context Protocol (MCP)
- AI Workflow Automation

### Security & Compliance
- Secure Architecture
- Enterprise Security Standards (ESS)
- Threat Modeling
- RBAC
- Compliance Architecture
- Architecture Reviews

### Leadership
- Engineering Mentorship
- Technical Leadership
- Architecture Governance

## Technical Leadership

- Provide architectural guidance across multiple engineering organizations spanning enterprise applications, integration platforms, AI initiatives, and cloud infrastructure
- Mentor senior engineers and technical leads on system design, architectural decision-making, engineering excellence, and technology strategy
- Drive adoption of reusable engineering patterns, platform standards, and architectural best practices across teams

## Speaking & Community

- Speaker at international technology conferences including DevConf CZ, DevConf.IN, FOSSASIA, and Red Hat Summit
- Selected by the Linux Foundation to deliver technical sessions and workshops on Model Context Protocol (MCP) and enterprise AI development
- Founder of Pune AI Collective, an engineering community focused on practical AI adoption, enterprise architecture, and developer education
- Conduct internal workshops on Agentic AI, MCP, LLM platforms, and enterprise AI engineering for global engineering teams

## Thought Leadership

- Publish technical articles on enterprise architecture, cloud-native engineering, AI platforms, distributed systems, and software modernization
- Author architecture deep-dives covering large-scale file processing, enterprise integrations, cloud migration strategies, and production AI systems

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## About This File

This is a machine-readable CV file optimized for AI agents and LLMs.
Full profile: https://www.puneaicollective.org/people/abhishek

Last updated: 2026-07