AI Researcher · System Architect · IT Systems Specialist
MSc student in Electrical Systems Engineering at Universität Paderborn — combining 14 years of enterprise IT architecture with active EC-funded AI research. Currently building sovereign AI infrastructure for European municipalities under the EU COLOURS Initiative, with a focus on responsible, GDPR-compliant, on-premise deployment.
📍 Paderborn, Germany · ✉️ joys.learns@gmail.com · LinkedIn · GitHub
Internship thesis at Stadt Paderborn · EC-funded under the EU COLOURS Initiative
PadeRoBot is a sovereign AI reference framework for German municipalities — a production-grade, fully on-premise RAG system that answers citizen queries about city planning documents through a Telegram bot interface.
The project is part of the EU COLOURS Initiative (European Commission funded), which researches responsible AI deployment strategies across European public administrations. The goal: demonstrate that municipalities can run capable, compliant AI systems without any data leaving their infrastructure.
Architectural highlights:
- Hybrid retrieval — dense vector search (ChromaDB / HNSW indexing) + BM25 sparse retrieval, fused via reciprocal rank fusion
- Cross-encoder reranking —
amberoad/bert-multilingual-passage-reranking-msmarconarrows candidates before LLM generation - Local inference — quantised GGUF models via LM Studio / Ollama; zero external API dependencies
- Multilingual embeddings —
intfloat/multilingual-e5-smallfor German-language municipal documents - Production stack — FastAPI, streaming SSE, stateful chat sessions (SQLite), systemd service orchestration, Ubuntu 24.04 LTS, VMware virtualised server
- Compliance by design — EU AI Act risk classification, GDPR, BDSG, and OECD AI principles embedded into the architecture from the start
The hard constraint that shaped every decision: the model runs on-premise, sovereign, with zero external API calls.
- Sovereign AI architecture — designing LLM systems where data governance is a first-class constraint, not an afterthought
- RAG pipeline design — when hybrid retrieval beats pure vector search, why reranking is underrated, and what breaks in production
- EU AI Act in practice — translating risk classification and compliance requirements into actual system architecture
- Civic AI — what it genuinely takes to deploy AI responsibly in a public sector context
- Local vs cloud inference — privacy, latency, cost, and the governance implications of each choice
My background is broad by design — I have architected and operated systems across sectors, geographies, and scales.
AI & Applied Research (current) Building sovereign RAG pipelines and LLM infrastructure for public sector deployments under EC funding. NVIDIA Certified Associate in AI Infrastructure & Operations (2025).
Enterprise ERP & Digital Transformation Led Bangladesh’s first cloud-based SAP S/4HANA agile rollout (100M BDT programme) at Sun Gas Limited — covering ERP configuration, live production migration, user onboarding, and post-go-live stabilisation. Contributing factor to a measured 32% revenue increase (1.6B BDT / ~15M USD).
Cybersecurity & SOC Operations Managed full enterprise security stacks: TM Vision XDR (advanced threat detection), Fortinet Firewall, Cisco networking, SOC operations, disaster recovery and BCP planning.
Cloud & Multi-Cloud Architecture Designed and administered multi-cloud environments (Azure, AWS, VMware) for 200+ users across multiple geographies. Microsoft Certified Azure Administrator.
Infrastructure & Systems Administration 14 years running enterprise infrastructure — Windows Server, Linux (RHCE certified), Cisco (CCNA certified), MikroTik, Hyper-V, VMware, Proxmox — across BPO, energy, telecoms, and public sector environments.
Notable deployments: Police HQ network infrastructure · Bangladesh government projects · Embassy IT systems · 500-node ISO-18295 certified BPO environment · Terrestrial Media Monitoring System for Bangladesh Police
| Degree | Institution | Year |
|---|---|---|
| M.Sc. Electrical Systems Engineering | Universität Paderborn, Germany | Expected 2027 |
| M.Sc. (Professional) Cloud Computing | University of Maryland Global Campus, USA | 2022 |
| B.Sc. Electrical & Electronic Engineering | American International University Bangladesh | 2012 |
- NVIDIA Certified Associate — AI Infrastructure & Operations (2026)
- Microsoft Certified — Azure Administrator Associate
- Red Hat Certified Engineer (RHCE) & RHCSA
- Cisco Certified Network Associate (CCNA)
- SAP Cloud ERP Onboarding · IT Project Management (PM Aspire)
AI & Data
Python · FastAPI · ChromaDB · LlamaIndex · LM Studio · Ollama · HuggingFace · GGUF/GPTQ quantisation · TensorFlow · PyTorch
Infrastructure & Cloud
Linux (RHEL/CentOS/Ubuntu) · Windows Server · Azure · AWS · Oracle Cloud · VMware · Proxmox · Hyper-V · Docker
Security & Monitoring
TM Vision XDR · Fortinet · Cisco · Grafana · Nagios · SolarWinds · Pulseway
ERP & Enterprise
SAP S/4HANA · ERPNext / Frappe · Microsoft 365
Networking
Cisco · MikroTik · PfSense · Asterisk PBX · Tailscale
English (fluent) · Bengali (native) · Hindi (intermediate) · German (intermediate, actively improving)
Photography (lifestyle & nature) · Trekking & mountaineering · Tech writing on AI and IT trends
Open to conversations about sovereign AI architecture, civic tech, and responsible AI deployment in the public sector.


