AI security · governance · systems thinking — building at the intersection of research and practice.
Project Aegis / TRiSM_OS — an applied governance fabric for AI systems in the wild: policy-as-code, context-aware guardrails, and post-deployment monitoring. The work threads research into behavioral and systems constraints into shippable controls.
OSS contribution pipeline — upstream fixes where they matter: microsoft/presidio → PII anonymization correctness, BerriAI/litellm → guardrail validation for TRiSM context. Only merged PRs are shown above — synapses that actually fired.
The contribution graph above is rendered as a cultured neuronal network (fluorescence microscopy, not a dashboard).
- Green — living neural structure (dendrites, resting axons)
- Coral — active firing
- Violet — neuroplasticity / residual memory (strengthened pathways)
- White — electrical impulse travelling along an axon → terminal → dendrite → soma
Culture growth: dormant → outgrowth → contact → network formation → electrical activity → violet memory. The network visual is the data visualization — no streak counters, badge walls, or skill grids.
Interests: AI security, governance, systems thinking, building, research and behavioral science of how systems (and people) behave under constraints.
- Portfolio:
https://arjunpakhan.example.com(placeholder — wire to future Obsidian Brain site) - LinkedIn:
https://linkedin.com/in/REPLACE_WITH_LINKEDIN(placeholder — do not guess)
Static SVG via generate.py (no JS/WebGL), regenerated daily by Actions to output branch.