MENA
Chief Technology Officer
AURAS Technologies MENA FZCO
Directing technical strategy across AI SaaS, production RAG, non-custodial payments and platform architecture.
Hands-on CTO · AI Systems Architect · Dhaka / Global
Seven-plus years building production AI systems across agents, RAG, speech and financial infrastructure—often from the first diagram to the final deployment.

MENA
Directing technical strategy across AI SaaS, production RAG, non-custodial payments and platform architecture.
United Kingdom
Built an automotive voice assistant combining real-time diagnostics, predictive maintenance and embedded NLP.
Germany
Led customer-facing generative AI systems spanning automated content and personalized diffusion-based artwork.
Bangladesh
Developed Danish automatic speech recognition and improved voice-assistant performance for a low-resource language.
Six systems get the full visual treatment. The wider archive below preserves the breadth without overwhelming the strongest work.
01Inspect system Live production · Fintech infrastructure
A non-custodial crypto payment platform built from zero to production for merchants operating across online and physical commerce.
02Inspect system Private client system · Voice AI
A voice-first Windows assistant that understands commands, controls applications and executes multi-step desktop workflows.
03Inspect system Client system · Embedded automotive AI
An automotive assistant combining real-time diagnostics, voice interaction and predictive-maintenance workflows on resource-constrained hardware.
04Inspect system Decommissioned product · Generative imaging
An identity-preserving image generation system shipped before high-quality personalized generation became a commodity feature.
05Inspect system Applied AI · Document intelligence
A conversational document system that lets users explore PDFs through retrieval, semantic search and grounded natural-language answers.
06Inspect system Applied AI · Low-resource speech
A speech-to-text system focused on Kurdish Sorani, tackling the data and modeling constraints of an underrepresented language.
A broader index of SaaS, AI, speech, automation and Web3 work from the original portfolio.
Operations, orders and restaurant workflow management.
Digital card and voucher marketplace platform.
Intelligent QR code and barcode generation workflows.
Multi-language AI content-generation system.
Wedding planning, coordination and recommendation assistant.
Destination wedding planning and logistics platform.
Property analysis, valuation and market intelligence.
AI job portal focused on blue-collar workers.
Legal document review and information extraction.
Early conversational wellbeing companion prototype.
Emotion-aware text-to-speech experimentation.
Hands-free website navigation through voice commands.
Non-custodial wallet and asset-management experience.
Digital product suite designed for athletes.
Website greeter and business-information assistant.
I work across the boundaries that usually slow AI products down: model behaviour, application architecture, infrastructure and product decisions.
Stateful LangGraph workflows, tool use, approval gates, memory and recovery paths.
Retrieval design, evaluation, reranking, observability and inference economics.
Multilingual STT/TTS, command understanding and real-time voice interfaces.
Backend, frontend, APIs, infrastructure and deployment—with executive context.
Select a stage to inspect the architecture. The model is one component; reliability comes from everything around it.
A typed state graph turns an open-ended request into explicit steps, dependencies, tool permissions and success conditions.
Certificates support the work. They do not replace it.
Microsoft
DeepLearning.AI
University of Michigan
iNeuron.ai
Zero To Mastery
Production AI is not a model demo.