Engineering breadth
Capabilities, Languages & Toolchains
A broad software, signal-processing, embedded, GUI, scientific-computing, and systems-engineering background supports both new development and the modernization of difficult legacy systems.
Digital Signal Processing
Detection and estimation, FFT/spectral processing, matched filtering, adaptive filtering, beamforming, low-SNR recovery, modulation analysis, feature extraction, tracking, and statistical characterization.
RF, Radar & Direction Finding
IF/HF/VHF/UHF processing, vector and Watson-Watt DF, multi-site sensing, propagation/multipath/Doppler modeling, radar exploitation, clutter suppression, emitter characterization, geolocation, and field test.
Embedded & Real-Time
ARM, TI DSP, Linux, FreeRTOS, QNX, VxWorks, Integrity, DSP/BIOS, PetaLinux, Yocto, FPGA/SoC integration, high-rate acquisition, serial/Ethernet buses, and deterministic processing.
Scientific, GPU & AI
Numerical simulation, MATLAB/Python workflows, CUDA/OpenCL, cuFFT, TensorRT, TensorFlow, PyTorch, ONNX, OpenCV, scikit-learn, model evaluation, and physically grounded analytics.
GUI & Visualization
Qt, MFC/Win32, X11/Xlib/Xt, Motif/OpenMotif/LessTif, C#, Python/Matplotlib, MATLAB graphics, PostScript, DirectX 12, Vulkan, KML, and scientific/operator displays.
Systems & Test Engineering
Requirements, architecture, interfaces, simulation, instrumentation, proof-of-concept development, automated regression, performance characterization, integration, field support, and independent verification.
Programming and implementation
Languages
Scientific & Legacy Languages
Cross-Platform Application Development
Modernization and migration
Language Translation & Legacy-System Porting
Translation is treated as engineering—not simple syntax replacement. Numerical behavior, timing, memory use, endianness, interfaces, test vectors, and performance are preserved or intentionally improved.
MATLAB → Python
NumPy/pandas/Jupyter workflows, visualization, automation, test harnesses, and service integration.
NumPy/pandas/Jupyter workflows, visualization, automation, test harnesses, and service integration.
MATLAB → C / C++
Prototype algorithms converted into efficient desktop, server, embedded, real-time, or DSP implementations.
Prototype algorithms converted into efficient desktop, server, embedded, real-time, or DSP implementations.
Python → C / C++
Performance-critical paths, deterministic execution, native libraries, GPU interfaces, and embedded deployment.
Performance-critical paths, deterministic execution, native libraries, GPU interfaces, and embedded deployment.
Pascal → C / C++
Legacy algorithm and application conversion, including p2c-assisted and hand-engineered migration.
Legacy algorithm and application conversion, including p2c-assisted and hand-engineered migration.
FORTRAN → C / C++ / Python
Scientific and DSP code modernization with numerical-precision, file-format, and regression verification.
Scientific and DSP code modernization with numerical-precision, file-format, and regression verification.
C / C++ → Golang
Networking, security, service, orchestration, and maintainability-driven migration where Go is a better fit.
Networking, security, service, orchestration, and maintainability-driven migration where Go is a better fit.
MFC / Win32 → Qt / Modern C++
Cross-platform desktop and embedded GUI modernization.
Cross-platform desktop and embedded GUI modernization.
X11 / Motif → Qt
Migration of large UNIX scientific/operator applications while retaining mature workflows.
Migration of large UNIX scientific/operator applications while retaining mature workflows.
CPU → CUDA / OpenCL
Parallelization of FFT, filtering, image, simulation, matched-filter, and high-throughput pipelines.
Parallelization of FFT, filtering, image, simulation, matched-filter, and high-throughput pipelines.
Desktop → Embedded / RTOS
Porting algorithms and applications to ARM, DSP, FPGA/SoC, Linux edge and real-time targets.
Porting algorithms and applications to ARM, DSP, FPGA/SoC, Linux edge and real-time targets.
VAX/VMS, Solaris & UNIX → Linux / Windows
Build systems, APIs, data formats, processor assumptions and portability modernization.
Build systems, APIs, data formats, processor assumptions and portability modernization.
Binary / Protocol Translation
Endian conversion, file formats, schemas, device interfaces, JSON/XML, message buses, and network bridges.
Endian conversion, file formats, schemas, device interfaces, JSON/XML, message buses, and network bridges.
Frameworks and platforms
GUI, GPU, Scientific, Embedded & Cloud Tools
GUI & Graphics
GPU, AI & Parallel
Scientific & Data Tools
Operating Systems & RTOS
Embedded & Hardware Platforms
Build, Debug & Source Control
Cloud, Containers & Virtualization
This is a representative superset rather than an exhaustive inventory. Tool selection is driven by the customer’s existing baseline, target platform, performance constraints, certification needs, and long-term maintenance goals.