Independent Engineer & Product Builder

AI Systems | AI Evaluation | Healthcare Technology | Agent Reliability | Automation | Verifiable Infrastructure

I build practical software around problems where AI, real-world operations and dependable infrastructure meet.

My current work spans AI and agent systems, evaluation and reliability, healthcare workflows, local and hybrid inference, automation, privacy-aware systems and verifiable digital infrastructure.

• AI Evaluation & Reliability - reproducible evaluations, model and agent testing, evidence-based verification, failure analysis, disagreement resolution and regression testing.
• Agent Safety & Control - deterministic policy enforcement, approval boundaries and human oversight for AI agents.
• Healthcare Technology - hospital operations, claims workflows, documentation, patient continuity and AI-assisted operational systems.
• AI Infrastructure - local-first and hybrid inference, routing, automation and cost-aware execution.
• Verifiable Systems - auditable workflow proofs, privacy-preserving verification and accountable digital records.

Deterministic policy and approval infrastructure for AI agents, separating model interpretation from authority and execution.

https://github.com/kaulastudies/boundary-ai-agent-control

Local-first and hybrid AI routing focused on privacy, reliability, token efficiency and intelligent execution decisions.

https://github.com/kaulastudies/omniedge-routeiq

A structured pre-mortem system for exploring failure paths, assumptions, safeguards and decision readiness before execution.

https://github.com/kaulastudies/failuretwin-ai

Verifiable workflow-proof infrastructure using cryptographic hashing and Stellar/Soroban for accountable real-world events.

https://github.com/kaulastudies/ProofSetu-Protocol

Local AI agent experimentation focused on private execution and explicit permission before sensitive actions.

https://github.com/kaulastudies/boundary-amd-private-agent

A collaborative Reddit-native application built with Devvit, persistent shared state and role-based user experiences.

https://github.com/kaulastudies/thread-zero

Working Alpha / Repository Agent Reliability Program: provider-neutral infrastructure for evaluating AI systems and agents through versioned task contracts, controlled execution, independent verification, verifier testing, canonical evidence records, source-exact replay and regression analysis.

https://github.com/kaulastudies/ai-evaluation-lab

Current public RARB evidence includes 52 committed live attempts across five verifier-qualified repository tasks, plus a preregistered 30-attempt cross-model replication on one frozen task with source-exact no-model replay.

Phase 13 also includes a merged IBM Bob 2.2.0 AP-001 agent pilot: preregistered execution, frozen candidate, deterministic independent verification, source-exact replay and promoted evidence. This is an evaluation of the agent/tool through the Lab methodology, not an IBM partnership or endorsement.

Technical report: Verifying the Verifier — Evidence-Driven Evaluation for Repository Agents

Claims are intentionally bounded to committed tasks and preserved evidence.

A public-safe engineering dossier for healthcare operations, claims, care continuity and exception-driven hospital workflows developed from real operational problems.

https://github.com/kaulastudies/claimsetu

The public repository intentionally excludes patient data, hospital-confidential material, production credentials and sensitive deployment details.

Proof-linked contribution badge (self-displayed), not an official Backstage organization membership credential.

Independently accepted upstream: Backstage Community Plugins / Periskop — Jest 30 migration, maintainer reviewed, approved and merged.

Qiskit Ecosystem nomination, under review: Quantum Agent Gate — PR #1427. Automated submission validation passed; this is not yet ecosystem approval, organization membership, or endorsement.

Other upstream contributions awaiting review:

• Kubernetes SIG Headlamp — async stale-response regression protections — open.
• OpenFeature Operator — Pod annotation index regression test — open.
• MLCommons ModelBench — dynamic SUT discovery — open.

Public GitHub PR audit: 38 pull requests with individual source links (snapshot: 2026-10-19). This is an audit of activity, not an organizational affiliation claim.

I care about what happens after a prototype works: failure modes, edge cases, security boundaries, evaluation, auditability, maintainability and whether a system can survive real operational use.

My work typically involves TypeScript, Next.js, React, Python, FastAPI, PostgreSQL, Supabase, AI/LLM systems, APIs, automation and Stellar/Soroban.

@kaulastudies is simply the GitHub handle I currently use for technical work.

The software repositories and engineering projects presented here are my independent technical work as Rama Chandra. They should not be interpreted as projects owned by or operated under Kaula Studies.

Kaula Studies is a separate cultural and traditional identity and is kept separate from the software, AI, healthcare and engineering work shown on this profile.

If this work is useful to you, you can support my independent public engineering and applied research through either route:

• GitHub Sponsors: https://github.com/sponsors/kaulastudies
• Direct support via PayPal: https://www.paypal.com/paypalme/malayanur92

Support helps fund public development, evaluation infrastructure, testing, documentation, hosting and maintenance.

Funding does not automatically grant private repository access, contributor permissions, consulting, custom development, confidential data access or exclusive IP rights.

ORCID: https://orcid.org/0009-0008-0189-2166

I am interested in serious work around AI evaluation, agent systems, healthcare technology, developer infrastructure, automation and applied AI research.