AI & Intelligent Systems
Applied AI, automation, and technical architecture designed around a real operational problem.
- AI automation
- ML systems
- Architecture
- Delivery

Praxis Nova turns technical ambition into practical, secure, business-ready solutions.
Explore our products →Applied AI, automation, and technical architecture designed around a real operational problem.
Security-aware research, testing, documentation, and training woven into the delivery process.
Commercial framing that connects technology to pricing, partnerships, proposals, and sustainable growth.

An AI agent for Follow Up Boss teams, supporting personalized lead nurturing, CRM workflows, market intelligence, intent tracking, and pipeline automation.
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A platform for building autonomous companies through orchestrated AI workers, with an open-source SDK, deployment studio, and Infinite Web Arena benchmark.
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A seasonal color shopping app that compares product colors with personal palettes across 4-, 12-, and 16-season systems.
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An archaeology digitization platform supporting artifact scanning and detection, OCR-based records, field workflows, team data, and 3D-oriented documentation.
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Windows desktop app for a major Pakistani bank's IT team. Interactive offline dashboard that turns exported Excel compliance reports (Windows build, disk encryption, endpoint protection) into region-wise and district-wise views with drill-down charts, top/bottom rankings, and combined compliance status. Runs fully offline, no telemetry.
An open-source financial-learning research scaffold whose decision loop is built from fly-inspired spiking dynamics, sparse Kenyon-cell activity, MBON action populations, and dopamine-gated local plasticity—not conventional predictive models.
A fine-tuned DINOv3 pipeline combining multi-image representation learning with color features.
A PyTorch classification pipeline using an ImageNet-pretrained ConvNeXt-Tiny backbone with LoRA fine-tuning, weighted sampling for class imbalance, augmentation, and balanced evaluation.
A normal-versus-attack classifier built on CIC IoT-DIAD 2024 flow data, comparing logistic regression, random forest, and histogram gradient boosting with threshold tuning and feature-importance analysis.
A market-neutral research workflow using correlation screening, Engle-Granger cointegration tests, price-ratio Z-scores, and a broad set of risk, drawdown, tail-loss, and performance diagnostics.
A supervised language-classification project using Extra Trees classifiers to identify and annotate tone patterns.
A selection of scenario-based security work covering policy development, secure cloud architecture, risk assessment, and continuity planning.
Developed a unified security-policy framework for a UK–France acquisition scenario, covering governance, information classification, access control, supplier security, cross-border data handling, incident response, and a preliminary risk register.
Designed and implemented a layered AWS environment for a multi-region European financial-services scenario, combining a three-tier VPC, identity controls, protected storage and databases, scalable application delivery, and operational monitoring.
Produced a resilience assessment for a remote marine research centre, using risk analysis and a Business Impact Analysis to prioritise critical services, define RTO/RPO requirements, and build a phased maturity roadmap.
Farqleet turns market uncertainty into structured commercial decisions—defining the problem, comparing realistic options, and shaping an actionable route to growth.
Created a Canadian market-entry blueprint for an agricultural-equipment business, comparing Greenfield investment, joint ventures, and exporting before translating the choice into localisation, pricing, partnerships, and phased promotion.
Built a quantitative research plan to determine how star ratings and written reviews influence booking and satisfaction, connecting reliable customer evidence to platform design, trust, and conversion decisions.
Converted capital-structure, liquidity, reinvestment, operating-efficiency, infrastructure, and sustainability analysis into clear decision signals around financial resilience and long-term competitive growth.

Leads AI/ML, system architecture, engineering decisions, and end-to-end delivery.

Focuses on security assurance, AWS cloud security, risk assessment, business continuity, QA, and technical documentation.

Turns market research into practical plans for market entry, positioning, pricing, partnerships, proposals, and sustainable growth.
We believe useful innovation begins when knowledge leaves the slide deck and becomes something people can use.