Portfolio
Building the Future
Designed to Scale
About Me
Principal AI Architect with 18+ years of experience designing and delivering enterprise AI solutions. I specialize in agentic AI systems, LLM engineering, and cloud-native architectures - helping organizations move from AI ambition to working production systems. Based in Bad Homburg, Germany, I work with clients across financial services, healthcare, manufacturing, and professional services.
Core Competencies
Agentic AI & Multi-Agent Systems
LLM Architecture & Fine-Tuning
RAG & Knowledge Retrieval
Cloud Architecture (Azure · GCP · AWS)
MLOps & Production AI Deployment
AI Governance & Responsible AI
Enterprise Architecture (TOGAF)
API Integration & Workflow Automation
18+
Years Experience
AI, Cloud, & Modernization
Core Technology Domains
Professional Journey
Education
MSc in Data Science and BigData
DSTI Paris, France
Bachelor of Technology in Electronics & Communication
Anna University Chennai, India
Experience
Senior Solution Architect
Deloitte Consulting, Germany
Leading cloud transformation and AI implementation projects
Senior Solution Architect
Marina Bay Sands, Singapore
Design and implementing Gaming, Retail and Hospitality Solutions
Software Engineer, Lead Programmer
Various
Design and Development of Enterprise solutions
Contact me for the Detailed CV and Project details
Skills & Expertise
Agentic AI & GenAI
Model Fine-Tuning
AI Governance & Enterprise Architecture
AI Tooling & Workflow Automation
Computer Vision & Machine Learning
Cloud Architecture & Platforms
Data Architecture & Engineering
MLOps & DevSecOps
Featured Projects
Due to the breadth and confidentiality of enterprise engagements, detailed project listings are not displayed here.
Contact me for a personalized overview.
Certifications
TOGAF
TOGAF 9.2 Certified Architect
Azure
Solutions Architect Expert
Azure
Cloud Administrator
GCP
Cloud Architect Professional
GCP
Professional Network Engineer
GCP
Professional Security Engineer
AWS
Solutions Architect Professional
AWS
Advanced Network Specialty
AWS
Security Specialty
AWS
DevOps Engineer Professional
AWS
Machine Learning Specialty
Azure
Microsoft Certified: Azure AI Engineer Associate
neo4j
Neo4j Certified Professional
AWS
AWS Certified Solutions Architect – Associate
AWS
AWS Partner: Digital Sovereignty
NVIDIA
NVIDIA Certified: Agentic AI (NCP-AAI)
kubernetes
CKA: Certified Kubernetes Administrator
Solutions & Services
Enterprise AI & Agentic Systems
Design and deploy intelligent AI solutions that combine LLMs, autonomous agents, and contextual knowledge systems to transform enterprise operations.
- LLM integration with CRMs, ERPs, and internal platforms
- Retrieval-Augmented Generation (RAG) with vector databases and semantic search
- Autonomous AI agents using LangGraph, CrewAI, and AutoGen for task orchestration
- Multi-agent systems for complex workflow automation and decision support
- Enterprise-grade prompt engineering, fine-tuning, and responsible AI governance
Machine Learning & Computer Vision
Build end-to-end ML and vision AI systems from concept to production with robust MLOps, delivering scalable and insight-driven outcomes.
- Model development using TensorFlow, PyTorch, XGBoost, and scikit-learn
- Computer vision for classification, detection, segmentation, OCR, and anomaly detection
- Cloud-native AI services (AWS Rekognition, Azure Cognitive Services, Google Vision AI)
- MLOps pipelines with SageMaker, Azure ML, MLflow, and automated retraining
- Real-time and batch inference with monitoring, versioning, and edge deployment
Cloud Strategy & Architecture
Design, migrate, and optimize cloud platforms with enterprise-grade governance, security, and scalability across AWS, Azure, and GCP.
- Cloud adoption strategy, business case development, and TCO analysis
- Landing zone design with multi-account governance, identity, and security controls
- Cloud migration execution: lift-and-shift, replatforming, or re-architecture
- CI/CD pipeline implementation using GitOps, Azure DevOps, and AWS CodePipeline
- Platform engineering for developer productivity and compliance-ready environments
Data Platform Engineering
Build modern, resilient data platforms that power analytics, AI, and real-time insights with scalable lakehouse architectures.
- Data lakehouse architecture using Delta Lake, Iceberg, and BigLake
- ETL/ELT pipelines with Azure Data Factory, AWS Glue, Airflow, Snowflake, and Databricks
- Real-time ingestion using Kafka, Kinesis, Pub/Sub, and Apache Flink
- Data modeling and optimization for BigQuery, Snowflake, Synapse, and Redshift
- Data quality, cataloging, and lineage with Great Expectations and OpenMetadata
Legacy Modernization
Transform legacy mainframe and monolithic systems into cloud-native, agile architectures that enable innovation and long-term scalability.
- Assessment and discovery for mainframe (COBOL, RPG, JCL) and AS400 workloads
- Refactoring and replatforming using AWS Mainframe Modernization and Azure tools
- Re-architecting into microservices with event-driven or REST-based integrations
- Data modernization and offloading to S3, PostgreSQL, or Snowflake
- Zero-downtime migration with CI/CD enablement and operations transition