Senior Developer @ SAP iSpares | Agentic-AI
With over 6 years of experience, I specialize in building production-ready AI platforms, enterprise microservices, and cloud-native distributed applications. I'm passionate about creating intelligent systems that solve real-world problems through clean architecture and modern technologies.
At SAP, I work on a flagship agentic AI initiative focused on building an automated system for intelligent spare-parts identification and processing, bridging traditional enterprise software with modern AI capabilities. I'm actively involved in the open-source community, contributing to projects that advance developer experience and AI tooling.
Zero-knowledge encrypted digital legacy management
- Backend: NestJS, TypeScript, Prisma ORM, PostgreSQL, Redis
- Frontend: React, TypeScript, Tailwind CSS, Zustand
- Security: AES-256-GCM, PBKDF2, JWT authentication
- Features: End-to-end encryption, dead man's switch, multi-party handover
A book exchange ecosystem
- Backend: Spring Boot, Maven, PostgreSQL, JPA/Hibernate
- Frontend: React, TypeScript, Tailwind CSS, Vite
- Mobile: Flutter, Dart, Provider state management
- Features: Book management, user matching, real-time notification and messaging
- Backend: Java (Spring Boot), TypeScript (NestJS)
- Databases: SAP HANA, MySQL, PostgreSQL, MongoDB
- Message Queues: Apache Kafka, RabbitMQ
- Microservices: Event-driven architecture, GraphQL federation, REST APIs
- Cloud: SAP BTP, Azure, GCP, AWS
- Containerization: Docker, Kubernetes, Cloud Foundry
- Monitoring & Logging: Prometheus, Grafana, OpenSearch
- CI/CD Pipeline: GitHub Actions, Azure DevOps, Jenkins
- LLM Integration: OpenAI SDK, SAP GEN-AI SDK, local models (Ollama/LM Studio)
- AI Workflows: LangGraph, Retrieval Augmented Generation (RAG)
- Vector Databases: PG Vector, HANA Vector Engine
- Monitoring: LangFuse
Explore more detailed insights on OssInsight.
Thanks for visiting! 👋