Specialized Engineering Services

Deployable chemical and physical analysis solutions for analytical, high-stakes, and commercial applications.

Atmospheric Sensing

Precision mapping of complex atmospheric plumes and fugitive emissions in realtime. Utilizing UAV integration for scalable data collection and high-resolution mass spectrometry.

By correlating meteorological wind data traversing complex topographies with molecular concentrations, I build rigorously validated dispersion models to precisely identify dynamic upstream emission sources.

  • >Deterministic Source Attribution Mapping
  • >UAV Sensor Payload Integration
  • >Fugitive Emissions Tracking for Industrial & Defense Sectors
UAV Atmospheric Plume Mapping Dashboard

Seep Hunting & Reservoir Derisking

Deep-water Seep Visualization

Having led chemical sensing teams on ROV-based survey missions across dozens of active seep sites globally, I bring firsthand operational expertise to deep-water reservoir derisking. Leveraging in-situ Underwater Mass Spectrometry (UMS) alongside other remote sensors and predictive plume modeling, I pinpoint rapid advection pathways and phase-protected aromatics directly at the seafloor.

This direct, on-the-bottom experience ensures definitive differentiation between true reservoir "Live Oil", biogenic seeps, refined products, and localized aged sediment overprints in real-time.

  • >Adaptive Cruise Management & Target-Positive Coring
  • >Subsea Plume Modeling & Chemical Transport Tracking
  • >Chemical Ground-Truthing of 3D Seismic Traps
Need mission-ready seep hunting instrumentation? Visit www.bcanalytical.com

Custom Software/Firmware

import PyCO2SYS as pyco2
def getGasSolubility(gas, S, T, units, pp):
if gas == 'CO2':
# Predict DIC parameters enforcing TEOS-10
MW = 44.0095
result = pyco2.sys(par1=pp*1e6, par2=8.1,
par1_type=4, par2_type=3,
salinity=S, temperature=T, pressure=0)
conc_umol = result['aqueous_CO2']
return getConcinUnits(conc_umol, MW, S, T, units)

Operating as a strategic engineering "force-multiplier," I orchestrate autonomous multi-agent AI ecosystems to radically accelerate full-stack software development. By coupling strict version control (Git) with Dockerized CI/CD pipelines deployed across Vercel and Google Cloud (GCP), I rapidly prototype and deploy scalable web architectures and telemetry pipelines.

This architectural velocity is uniquely grounded in over a decade of cross-functional programming experience (Python, LabVIEW, MATLAB) and physical hardware integration. I bridge the critical gap between raw embedded control and high-level predictive algorithms—translating complex physical phenomena and deterministic Digital Signal Processing (DSP) into secure, portable software that protects proprietary IP.

  • >Dockerized CI/CD Pipelines (Git, Vercel, GCP)
  • >Autonomous Multi-Agent Workflow Orchestration
  • >Full-Stack Hardware Integration

Subsea Hardware Integration

Bringing laboratory-precision analytical sensing to the deepest, most extreme environments on the planet. Surviving high-pressure gradients with autonomous functionality.

This requires meticulously engineering robust pressure housings, membrane interface electronics, and fail-safe power telemetry capable of enduring multi-month deployments at abyssal depths.

  • >High-Pressure Vessel Architecture
  • >ROV Payload Integration
  • >Autonomous Real-Time Deep-Sea Analytics
Looking for off-the-shelf COTS subsea systems? Visit www.bcanalytical.com
ROV Subsea Hardware Integration