Four pillars. Every engagement draws on more than one. The work that matters never fits cleanly into a single category.
We write software that runs where reliability is non-negotiable: embedded control systems, high-precision computation engines, document intelligence pipelines, and web automation that survives in adversarial environments. Primary language is Rust. When performance, safety, and correctness all matter simultaneously — that's where we operate.
Vision-language pipelines that extract structured data from unstructured documents at scale. Custom OCR for degraded scans, domain-specific terminology recognition, knowledge graph construction from document corpora. Built for industries where document accuracy has regulatory and operational consequences.
Numerical algorithms where floating-point errors compound into real-world consequences. Astronomical position engines (VSOP87 with full relativistic corrections), geophysical modeling, measurement systems requiring sub-arcsecond or sub-millisecond accuracy. SIMD-accelerated implementations for real-time performance requirements.
C and Rust for bare-metal and RTOS environments. High-accuracy monitoring systems, sensor fusion, real-time control loops, hardware integration. Deep familiarity with the operational environment these systems run in — downhole tools, pressure vessels, industrial instrumentation — not just the software layer.
Full-stack development using ASP.NET Core, React, and Flutter — not for commodity CRUD apps, but for the internal operational tooling that oil & gas and energy companies need: asset tracking dashboards, maintenance workflow systems, ERP integration layers, mobile field apps. Built to SAP integration standards.
Ten years inside the operational core of major oilfield services companies — not as a consultant parachuted in, but as the person running the systems. SAP across AM, MM, PM, Ariba, and Logistics. Hadoop data infrastructure. The difference is knowing why the system is configured the way it is, not just how to configure it.
Full lifecycle asset management from acquisition through disposal. Master data design, depreciation configuration, asset class hierarchies, integration with PM for maintenance cost tracking. CapEx planning workflows that connect to live system data. Experience managing 5,000+ assets across multi-country operations.
Preventive and corrective maintenance scheduling, work order management, equipment master configuration, breakdown analysis, and integration with materials management for spare parts. Particular depth in high-value equipment maintenance for oilfield tools where wrong decisions mean operational losses and safety risk.
Materials management, purchase requisition to purchase order workflows, goods receipt, invoice verification, vendor master management. Ariba implementation and process design for organizations moving procurement into structured, auditable digital workflows. Spend analysis and vendor performance tracking.
Hadoop-based data platforms for operational analytics, Python ETL pipelines for SAP data extraction and transformation, SQL Server and PostgreSQL for transactional systems, Redis and Kafka for real-time operational data. Built to handle the messy, inconsistent data that actually comes out of enterprise systems — not clean academic datasets.
Security work grounded in both technical depth and formal compliance standards — API Q2 Lead Auditor certification, ISO 9001 auditor qualification. Not just running automated scanners and filing a report, but understanding the operational context of the systems being assessed and what failure actually means for the organization.
Web application security testing, network penetration testing, API security assessment. Manual verification of privilege escalation paths, authentication bypasses, and data exposure vectors that automated scanners miss. OWASP Top 10 coverage with domain-specific threat modeling for industrial and financial clients.
Quality management system design and audit to ISO 9001 and API Q2 standards — the petroleum industry's highest certification tier for service quality. Gap analysis, process documentation, corrective action management, audit preparation and execution. Lead auditor qualified — can both design and audit the systems we help build.
Encryption architecture for data at rest and in transit, access control design, PII handling for financial and government clients, audit logging, data retention and destruction workflows. Particular experience with cross-border data handling requirements in the UAE and GCC regulatory context.
Quantum-resistant cryptographic protocol design (PRISM), end-to-end encrypted communication systems, secure compression and transmission for sensitive operational data. Built from primitives — not assembled from commercial libraries with unknown security properties. For clients where the communication channel itself is the attack surface.
Applied AI grounded in real operational experience — not demo systems, not generic LLM wrappers, but models trained on domain data and deployed into actual enterprise workflows. The difference is knowing what the data means before the model sees it, and knowing what the output needs to do when it comes out.
Machine learning models trained on equipment maintenance history to predict failure before it happens. Feature engineering from SAP PM/AM data. Gradient-boosted classifiers, time-series anomaly detection, survival analysis for equipment lifetimes. Integration back into SAP for automated work order generation without workflow disruption.
LoRA fine-tuning of large language and multimodal models on domain-specific corpora. Experience fine-tuning on oilfield technical documentation, structured SAP data exports, and creative content (AI music generation using YuE + Llama2 with custom Hindi lyrics dataset). Model evaluation against domain-expert ground truth.
Automation that survives in the real world. CV-based element recognition that doesn't break on layout changes. Human-pattern interaction simulation. Self-healing automation pipelines for enterprise data gathering, form processing, and workflow orchestration. WASM compilation for browser-resident execution where server-side deployment isn't viable.
For energy and industrial companies at the beginning of digitalization — not a generic playbook but a roadmap built on understanding your operations from the inside. SAP as the backbone, AI/ML as the intelligence layer, custom software closing the gaps commercial tools leave. Execution capacity to deliver, not just advise.
Every engagement starts with a conversation about the actual problem — not a scope-of-work template. We need to understand what you've tried, why it didn't work, and what constraints are non-negotiable before we can tell you whether and how we can help.
We don't do open-ended retainers for implementation work. Engagements are scoped, priced, and delivered. You know what you're getting before the work starts. Changes in scope are explicitly renegotiated — no scope creep, no surprises on the final invoice.
We build to be understood. Documentation, knowledge transfer, and training are part of every engagement — not an optional add-on. When we're done, your team can maintain and extend what we built. We're not trying to create a dependency.
Tell us what you need.
We'll tell you honestly if we can deliver it.