Capabilities

How The Work Reads Technically

This portfolio is strongest when read as a set of ability signals, not just a list of projects. Across the repositories, the recurring pattern is the same: define a hard problem, model it precisely, make it run, then expose enough diagnostics to debug it in practice.

Primary Signals

Numerical Thinking

Nonlinear solver design, RK4 integration, residual construction, damping, convergence handling, and benchmark-minded implementation.

Seen in ballistic-solver

System Integration

Bridging perception, planning, control, messages, launch composition, and operator tooling into one working parking stack.

Seen in autonomous parking

Field Operations

Serial transport, GNSS/RTK correction flow, buffered logging, watchdog-style recovery, and remote visibility under unstable conditions.

Seen in telemetry runtime

Tool Building

Turning raw operational data into segment-aware analysis, replay, metrics, and inspectable multi-pane workflows.

Seen in analysis GUI

Capability Matrix

Capability	What Shows It	Main Evidence
Mathematical modeling	Turning physical behavior into a solvable computational model	ballistic-solver
API and deployability	C ABI, Python package, Unity/C# interoperability, explicit status outputs	ballistic-solver
ROS 2 / autonomy integration	Localization bridge, occupancy flow, planner wiring, follower path, RViz control	Mapless Autonomous Parking
Operational robustness	NTRIP handling, serial retry, timeout detection, live monitoring, remote deployment workflow	Racing Telemetry Stack
Data analysis tooling	Track-core build, segment slicing, synchronized replay, pane-aware visual inspection	Racing Analyze GUI
Cross-domain synthesis	Collection → monitoring → analysis, or simulation → solver → packaging	Projects overview

How I Tend To Work

• Problem first: I usually start from an engineering bottleneck rather than a technology checklist.
• Runtime matters: I care whether a thing can actually run, fail visibly, recover, and be inspected afterward.
• Diagnostics matter: explicit statuses, replayable logs, plots, debug streams, and operational visibility are recurring themes.
• Interfaces matter: I try to package useful cores behind APIs, launch files, services, or analysis workflows rather than leaving them as one-off scripts.

What Is Still Weak

• Some repos still need stronger test consistency, cleaner artifact separation, and tighter packaging discipline.
• The autonomy and field-runtime work shows strong prototype ability, but not full production safety validation.
• The strongest next step is not more project count; it is denser proof: diagrams, measured regressions, screenshots, and repeatable validation paths.