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PSR94 (Pavan Sai R) · GitHub

Overview Repositories 45 Projects Packages Stars 47
🧠
Building enterprise GenAI, RAG, AgentOps, and AI governance systems.
🧠
Building enterprise GenAI, RAG, AgentOps, and AI governance systems.
23 followers · 419 following
  • USA

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PSR94/README.md


Snapshot

Pair Extraordinaire · Pull Shark ×2 · Quickdraw

Selected work

Four disciplines, one habit: turn "looks right" into something you can prove. release & quality engineering · AI & knowledge systems · data & platforms · shipped products.

ReleaseTruth

Behavioral compatibility for software releases. Captures observable behavior across surfaces, normalizes noise, fingerprints releases, and gates regressions with deterministic evidence.

WireAssume

Discover what an application actually assumes about upstream APIs. Record → replay → mutate → observe → minimize → infer → compare with OpenAPI.

DecomProof

Evidence-backed software decommissioning. Combines static and runtime signals into deterministic retirement proofs instead of hand-wavy "looks unused" decisions.

VANGUARD

AI release intelligence and PR risk copilot. Risk scoring, blast-radius analysis, CI/test diagnostics, policy gates, approvals, and release readiness.

ContextMesh

Private knowledge intelligence platform. Hybrid dense/sparse/graph retrieval, explicit planning, reranking, grounded answers, traces, evals, and tenant-aware access.

FabricShift

Microsoft Fabric migration readiness and execution planning. Target mapping, reconciliation, lineage, migration waves, and modernization workflows.
More systems I've built
Category Projects
ORION · CALLSIGNAL · ARGUS
CITADEL · Evidence Graph RAG
HELIOS · FabricShift
Chaintrail · Schemafence · ReleaseTruth · WireAssume · DecomProof
TransitionIQ · ResumeTailor

Open source

Small, reviewable fixes that improve correctness, compatibility, tests, docs, or developer experience in real projects.

Project Contribution Focus
Mumble TLS 1.3 cipher configuration
Bifrost required nullable response fields
Bifrost count_tokens routing guard
isort trailing-comma layout for reexports
CodeCarbon raise on unsuccessful API responses
Semantic Kernel honor explicit None defaults
Vertex AI Python SDK agent eval normalization
Vertex AI Python SDK credential defaults
Vertex AI Python SDK prompt metadata
vLLM parallel sampling tests
vLLM ModelOpt docs
Pydantic contributor setup fix
Altair GraphQL deeply nested schema types
ComparIA dataset export workflow
Kubeflow Pipelines SDK YAPF through make targets

All authored pull requests →

Stack

Languages & runtimes

Frameworks & data stores

Cloud & operations

AI & data platforms

Contribution landscape

Generated daily from GitHub activity by this profile repository. The light/dark image selection uses GitHub's supported responsive <picture> pattern.

How I build

Ground truth before generated confidence. I prefer explicit evidence, deterministic checks, observable workflows, reviewable automation, and AI that explains evidence rather than replacing it.

measure → understand → automate → verify → ship → learn

Repositories · Open-source PRs · AI Engineer Roadmap

Pinned Loading

  1. fabricshift fabricshift Public

    Microsoft Fabric migration readiness workbench for legacy analytics inventory, risk scoring, wave planning, and executive readiness packets.

    TypeScript

  2. ai-engineer-roadmap-custom ai-engineer-roadmap-custom Public

    Interactive 2026 AI engineer roadmap

    JavaScript

  3. helios helios Public

    Governed AI analytics engineering platform for semantic NL-to-SQL, trust-aware execution, and explainable insights.

    TypeScript

  4. ContextMesh ContextMesh Public

    Private knowledge intelligence platform for enterprise document ingestion, hybrid retrieval, graph-aware RAG, grounded answers, and traceable evidence.

    Python

  5. ORION ORION Public

    Enterprise AgentOps control plane for agent observability, deterministic state management, execution tracing, and human approval gates.

    TypeScript

  6. CALLSIGNAL CALLSIGNAL Public

    Local-first voice operations platform for structured call intake, transcript signals, escalation routing, QA review, and audit-ready history.

    Python

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