Software Architect | Solution Architect | AI Architect | Team Lead SWS Software Development
Software development company specializing in GovTech solutions and enterprise systems.
I designed and implemented a distributed, scalable web system for aggregating data into a centralized Data Lake in an air-gapped perimeter. The solution used Java 17, Spring Framework, Spring Cloud Data Flow, MongoDB, PostgreSQL, Elasticsearch, MinIO, Kafka, Redis, Angular, Gradle, Docker, Terraform, Kubernetes, ELK, GitLab CI/CD, and ArgoCD.
Architected an enterprise-grade Agentic AI orchestrating platform using Java, Spring AI, LangGraph, LLM, RAG, MinIO and Qdrant enabling multi-agent reasoning workflows for domain-specific tasks. Defined architectural standards for agent design, context management, and integration patterns across the organization.
Designed AI Voice Assistant with an automated OCR pipeline capable of processing millions of scanned documents. Defined the end-to-end architecture spanning speech recognition (Faster Whisper, ZipFormer), speech synthesis (Espeech, Silero), document understanding and classification (Qwen3-VL, PaddleOCR), LLM-based reasoning, and RAG retrieval using Java, Spring AI, Kafka, Temporal.io, MongoDB, Qdrant, SeaweedFS, Python, PyTorch, React, Label Studio, Terraform, Kubernetes, GitLab, ArgoCD.
Architected and developed a RAG platform for enterprise virtual AI assistants combining different types of RAG retrieval with a reproducible experiments, grounding checks, and an air-gapped deployment pipeline using Python 3.12, FastAPI, LightRAG, MSFT GraphRAG, Qdrant, OpenSearch, Neo4j, MongoDB, Redis, React, Docker.
I also implemented machine learning-based risk management systems, architected an enterprise Agentic AI platform, and designed an AI Voice Assistant with OCR and RAG capabilities. In addition, I authored the company's growth strategy and structured it using Enterprise Architecture principles aligned with TOGAF ADM.