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Ventures

Data Systems & Applied AI Engineering


I founded these companies to scale the expertise I built over years of hands-on engineering. Femtus Solutions focuses on data analytics, management reporting and project controls. Pesgit Engineering runs applied R&D in computer vision and edge AI.

Data Analytics & Management Reporting

I build executive reporting frameworks that transform fragmented operational data into structured, decision-ready intelligence. Power BI dashboards, KPI architecture, and project controls — designed for leadership teams who need clear, reliable visibility into what matters.

  • Power BI dashboards & executive reporting
  • KPI architecture & performance tracking
  • Project controls & delivery oversight
  • Automated reporting workflows
  • Cross-domain measurement alignment
ImpactClear insight for confident decision-making without manual reporting overhead.

Computer Vision & Edge AI (Applied R&D)

Applied R&D in real-time perception — optical and thermal (EO-IR), multi-sensor fusion, and edge inference. I take hard perception problems from concept to field-credible prototype, engineered on real edge hardware.

  • Optical & thermal (EO-IR) vision pipeline engineering
  • Edge inference on real hardware (offline-capable)
  • Object detection, classification & tracking
  • Multi-sensor fusion (Thermal, LiDAR, Radar)
  • Prototype-to-production readiness assessment
ImpactBridging the gap between lab-stage AI and field-ready perception systems.

Project Controls & Operational Governance

I engineer systems that enable precise oversight of complex projects and programs. From cost and schedule visibility to earned value monitoring, my project controlling environments give leadership confidence in delivery performance.

  • Project performance & progress tracking
  • Cost and schedule visibility frameworks
  • Earned value & delivery monitoring
  • Reporting workflow automation
  • Stakeholder alignment & phased roadmaps
ImpactImproved governance, transparency, and schedule confidence for large-scale operations.

Systems Engineering & Edge Integration

I bridge the gap between software perception and physical deployment. I lead the integration of AI models onto edge hardware, ensuring reliable performance and operational readiness under real-world constraints.

  • Hardware/software co-design for edge AI
  • Environmental robustness engineering
  • Sensor calibration & alignment
  • Real-time processing pipelines
  • Verification, validation & field testing
ImpactReliable operation across constrained environments and real edge hardware.