I build enterprise-scale AI + data platforms and modern cloud architectures—focused on Agentic AI, RAG, Databricks, and AI Governance in regulated environments.
- 🧠 Agentic AI platform patterns (tools, orchestration, guardrails, governance)
- 🔎 Retrieval-Augmented Generation (vector search, grounding, eval, monitoring)
- 🧱 Modern architecture (microservices, APIs, cloud-native, DevSecOps)
- 📊 Data/ML platforms (lakehouse, pipelines, MLOps, feature engineering)
- MCP toolmesh + adapters (Email / Queue / Mongo / Postgres)
- RAG systems grounded on private enterprise knowledge
- Databricks/Mosaic AI architecture patterns
- AI governance frameworks (security-by-design, compliance, onboarding)
Click to expand
- IAM Platform Enablement: Auth0-based identity modernization (enterprise authentication + authorization patterns)
- Service Desk / Sales Desk Enablement: Salesforce-driven service and sales enablement capabilities
- ERP Modernization: Lawson → Workday transformation enablement (architecture, integration patterns, platform readiness)
- Enterprise Integration Modernization: Migrated application integration patterns away from BizTalk toward modern APIs/event-driven approaches
- Cloud-Native Enablement: Built and enabled integration/runtime platforms using:
- Red Hat OpenShift
- Azure Spring Apps
- Azure Kubernetes Service (AKS)
- Actuarial Data Platform Enablement: Databricks-based actuarial analytics platform foundations (lakehouse patterns, pipelines, governance alignment)
- DaaS Enablement: Enabled Data-as-a-Service capabilities to standardize access and reuse across teams
- NACHA Compliance Enablement: Tokenization + compliance platform enablement using TokenEx
- DevSecOps Practice Enablement: Toolchain + operating model to support SDLC:
- GitHub, SonarQube, JFrog (and supporting CI/CD patterns)
- Security Standards for SDLC: Established secure development/testing standards and guardrails (shift-left security)
- Loan Origination → Core Financial Engine: Enabled and developed an end-to-end loan management capability using a Coffee Shop design pattern approach, including integrations with underwriting systems
- Established CoEs for:
- API Development
- UI Development
- CI/CD Practices
- Microservices Platform Enablement
📌 Patents Filed (Click to Expand)
- Next-Generation Augmented Data Science Platform for Autonomous Model Generation, Continuous Testing, Adaptive Deployment, and Real-Time Performance Optimization Using AI-Driven Feedback Loops
- AI-Powered Data Preprocessing and Transformation Platform for Autonomous Data Cleaning, Advanced Feature Engineering, Real-Time Data Augmentation, and Intelligent Quality Assurance
- Intelligent Adaptive Data Sampling and Augmentation System for Enhancing Model Generalization, Bias Mitigation, and Robustness in Highly Imbalanced and Noisy Datasets Using Reinforcement Learning
📖 Published Books (Click to Expand)
- Digital Transformation in the Age of AI: Contact Center and Back Office Transformation (2024)
- Data Strategy in the Age of AI: Building a Foundation for Sustainable Success (2024)
- Cloud Database Security: Integrating DL and ML for Threat Detection and Prevention (2025)
- AI - Idea to Platform (2025)
- AI Governance for Enterprise (2025)
🧩 Architecture Gallery (Click to Expand)
- Agentic AI Platform reference architecture
- RAG blueprint (retrieval + grounding + eval + monitoring)
- MCP toolmesh orchestration patterns
- Databricks/Mosaic AI platform patterns
If you're building Agentic AI, RAG, Databricks/Mosaic AI, or AI Governance in enterprise environments, let’s connect.
📩 LinkedIn: https://www.linkedin.com/in/niharmalali/