ENGINEERED SOLUTIONS
Deterministic results, lean stack orchestration, and enterprise automation. Discover how we bridge systems-level architecture with operational execution to deliver verifiable ROI.
POJEHAT
High-volume customer support bottlenecks and erratic lead capture on WhatsApp and web channels causing missed bookings and slow response times.
Engineered a multi-agent WhatsApp AI chatbot leveraging Mastra for agentic workflow orchestration, n8n for real-time CRM routing, and Qdrant for semantic FAQ retrieval.
Achieved 24/7 sub-1.2s response latency with zero hallucination rate on inventory checks and automated over 70% of inbound tier-1 support queries.
DELTA
Fragmented procurement, manual shop-floor fabrication drawings, and delayed inventory synchronization across multi-facility operations.
Designed a custom Next.js and FastAPI enterprise ERP connector integrated with Three.js for interactive 3D aquarium tank parametric modeling and automated structural drafting.
Cut engineering drafting cycles by 65%, reduced inventory discrepancies to under 0.5%, and automated bill-of-materials generation directly into production pipelines.
BRICS
Strict regulatory data privacy mandates preventing cloud LLM usage for cross-border multi-lingual contract auditing and compliance analysis.
Deployed an air-gapped on-premise inference cluster running localized DeepSeek R1 via Ollama and paired with a localized Qdrant vector database with strict role-based access control.
Guaranteed 100% data sovereignty with zero third-party data egress while accelerating cross-border legal document reviews by 4.5x.
QuranMath
Severe morphological complexity and high error rates in standard LLM parsing of classical Arabic mathematical formulations and syntactic structures.
Architected specialized tokenizer embeddings and transformer-based educational agents optimized for classical Arabic morphology and numerical relation extraction.
Delivered 98.9% semantic alignment on classical corpus queries with sub-second response times across 50,000+ interactive student sessions.
QWIRVA
Inefficient cold outreach, low conversion rates on unverified leads, and disconnected telephony systems across regional sales teams.
Developed the all-in-one B2B sales automation engine in strategic partnership with Aghrba. Integrated automated Twilio telephony, LLM realness verification, and automated qualification gates.
Automated scoring and outreach across 250,000+ business leads, eliminating 80% of spam inquiries and boosting qualified sales appointments by 3.2x.
SUNDIAL
Autonomous AI agents freezing or terminating when encountering blocked asynchronous states, human-in-the-loop requests, or cross-platform session idle timeouts.
Built a cross-platform background temporal daemon in Python featuring Human Interface Device (HID) presence simulation, intelligent escalation routing, and a zero-block Autonomy Gate.
Enabled 99.99% uninterrupted overnight multi-agent operations with zero dropped execution contexts across 1,000+ hours of continuous testing.
Dragonfly
Clients struggle to conceptualize complex multi-agent architectures and cannot visualize the ROI impact of AI integration before committing to development.
Developed a visual node-based stack architect tool leveraging React Flow and Gemini, generating full system blueprints and calculating precise financial ROI projections dynamically.
Reduced enterprise sales cycles by 40% and improved client technical alignment, resulting in a 2.5x increase in successfully scoped architecture contracts.
Studio
Marketing teams suffer from fragmented workflows when extracting brand colors, converting image formats, and generating prompt data from raw assets.
Engineered a single-file zero-latency Studio application with in-browser Canvas manipulation and Gemini Vision API for instantaneous semantic analysis and palette extraction.
Streamlined creative asset processing from 15 minutes per image down to 3 seconds, entirely eliminating the need for paid third-party conversion software.
Masar
Standard email generation tools produce unnatural Arabic phrasing and break RTL formatting, causing professional communication to appear poorly translated.
Built an Arabic-native email orchestration platform utilizing targeted system prompts and custom Next.js RTL component architecture to preserve dialectal nuance and tone.
Generated over 10,000 professional Arabic business communications with a 99% syntactic accuracy rate and zero formatting corruption across all major email clients.