Tanishq Dasari
I am a Computer Engineering student and backend engineer from Solapur, Maharashtra, India. I enjoy building systems that remain understandable as they grow.
Most of my work revolves around backend infrastructure, static analysis, AI governance, runtime policy enforcement, developer tooling, and knowledge systems. Rather than building isolated applications, I design infrastructure that helps developers build safer and more reliable software.
Selected Impact
- ✔Built Anchor: AST compliance scanning and isolation engine supporting 118 governance rules.
- ✔Published Zenodo Preprints: Authored academic and implementation briefs detailing deterministic execution boundaries.
- ✔Regulatory Contributions: Submitted formal policy feedback and briefs to the FSB and RBI.
- ✔Apache-2.0 & MIT: Open-source projects and packages published on PyPI (
anchor-audit,shadowwatch).
Primary focus
AI governance, static analysis, runtime policy enforcement.
Key projects
Anchor, Canon, AnchorGrid, and Shadow Watch.
Verifiability
Every claim is backed by open-source code and papers.
Work
Flagship Projects
I document my systems work as complete engineering case studies rather than simple summaries.
Anchor
FlagshipAI governance engine with static analysis, runtime enforcement, replay, and decision audit chains. Published on PyPI.
Read Case Study →Canon
FlagshipGovernance synchronization system for monitoring frameworks, diffing rule changes, and proposing updates.
Read Case Study →Governance Hub
FlagshipOperational platform for governance domains, organizations, verification, and centralized audit chains.
Read Case Study →QuantForge
InfrastructureAI-powered financial terminal with developer-first CLI analytics, instrumented with Shadow Watch telemetry.
Read Case Study →Invariants
Engineering Principles
Deterministic logic
Software should be understandable before it is clever.
Explicit design
Good architecture reduces complexity rather than hiding it.
Documentation as code
Every design decision should be reproducible, reviewable, and explainable.
Journal
Engineering Journal
Lab notebook logs exploring AST patterns, static analysis false positives, and compiler tooling design decisions.
Governance as Code for Autonomous Systems
Why policy must be executable, versioned, and replayable if autonomous systems are expected to behave inside real-world constraints.
Runtime AI Safety and Deterministic Enforcement
A technical note on enforcing policy at runtime without losing determinism, observability, or replay fidelity.
Human-in-the-Loop Governance for Model Risk Management
A note on making governance updates reviewable, contextual, and safe enough for enterprise and policy environments.
Milestones
Timeline
Released Anchor v5
Shipped the latest major version of Anchor with static analysis, runtime enforcement, deterministic auditing, and constitutional enforcement capabilities.
Jul 1, 2026
Released Canon v0.1
Launched the governance synchronization system for monitoring frameworks and generating human-reviewed evidence packages.
May 12, 2026
Submitted RBI technical consultation
Provided technical consultation on AI model risk management and governance controls for autonomous systems.
Mar 8, 2026
Built Governance Hub
Developed the management platform for governance domains, replay systems, audit chains, and enterprise governance operations.
Jan 18, 2026
Contact
Get in touch
I am open to discussions about software architecture, AI risk frameworks, and systems engineering.
Email: tan@animuslab.dev
GitHub: github.com/Tanishq1030
LinkedIn: linkedin.com/in/tanishq-dasari10
X (Twitter): @TanishqDasari1