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ABOUT · ARCHITECTURAL DOSSIER

Production Agentic Systems, Owned End-to-End

Full-stack engineer treating agentic AI as a production systems discipline: multi-tenant isolation, tool-calling evals, and supply-chain-hardened delivery.
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3+ Years
Production AI & Distributed Backends
Owning architecture from database engines to autonomous LLM products
93%
Real-Time Latency Cut
3s → 200ms streaming audio & frame multiplexing via Redis + edge runtimes
10K+
Daily Production Inferences
Multi-tenant autonomous tool-calling pipelines sustained without cross-tenant leaks
2,000+
Golden Eval CI Merge Gate
Executable test vectors gating releases against prompt regressions & hallucinations
dossier://rejisterjack/production-profile.spec
Open to staff-level roles
Full Stack AI Engineer · Bengaluru, India

Rupam Das (@rejisterjack)

I treat agentic AI as a production systems problem, not a demo. For 3+ years I have owned the path from distributed backends to LLM products running on top of them — including a multi-tenant marketplace with defense-in-depth isolation and an autonomous tool-calling agent used by real users.

I lead from the codebase: a 5-engineer team at EL Nova Labs, CI that refuses to ship unscoped tenant queries, and a 2,000+ line golden-eval suite that gates every Eva release at PostQode.

GitHubLinkedInDev.to
Verified System ProofFIRST-PARTY
35 Models Scoped
Prisma middleware + SQL Server RLS defense-in-depth across 100 marketplace models
2,000+ Eval Lines
CI merge gate preventing parameter hallucination and silent agent tool degradation
5,000 Concurrent Users
40% load-time reduction on enterprise React/Redux/GraphQL ERP at EL Nova Labs
200+ Fleet Vehicles
Samsara ELD + WebSockets reducing emergency response from 20 → 10 minutes

Foundational Engineering Disciplines

Operating Principles

01

Isolation is a feature.

Defense-in-depth tenant boundaries

Tenant boundaries are enforced in Prisma middleware, in SQL Server Row-Level Security, and again in CI. If a query can leak across tenants, it never reaches production.

INVARIANT SPECIFICATIONENFORCED
// Defense-in-depth Prisma tenant scoping middleware
prisma.$use(async (params, next) => {
  if (TENANT_SCOPED_MODELS.has(params.model)) {
    const tenantId = getSessionTenantContext();
    if (!tenantId) throw new SecurityBoundaryError("Unscoped tenant access");
    params.args.where = { ...params.args.where, tenantId };
  }
  return next(params);
});
Multi-Tenant Agent MarketplaceArchitecture Deep Dive
02

Agents without evals are prototypes.

Deterministic quality gates for non-deterministic models

Tool-calling systems ship with golden evals, PII scrubbing, citations, and circuit breakers — or they do not ship. We evaluate tools with strict JSON schemas and merge-blocking assertion suites.

INVARIANT SPECIFICATIONENFORCED
// Golden eval assertion gate for autonomous tool execution
describe("Autonomous Agent Tool Gate", () => {
  it("strictly validates parameter bounds before model execution", async () => {
    const payload = sanitizeAgentInput(rawInput, { scrubPII: true });
    const toolCall = await evalRunner.executeScenario("cart_checkout_flow");
    expect(toolCall.schemaValid).toBe(true);
    expect(toolCall.piiLeakDetected).toBe(false);
  });
});
Eva: Agentic Shopping AssistantGolden Evals Case Study
03

Latency is a product decision.

Architecture over micro-optimizations

A 93% cut (3s → 200ms) and a 40% load-time reduction are architecture, not micro-optimizations. Real-time experiences demand off-thread computation, edge streaming, and proactive cache topologies.

INVARIANT SPECIFICATIONENFORCED
// Low-latency chunk streaming with early speculative cache
export async function streamAudioOrchestrator(req: Request) {
  const cached = await redis.get(cacheKey);
  if (cached) return new Response(cached, { headers: STREAM_HEADERS });
  
  const stream = createMultiplexedStream(aiAudioSource, {
    chunkSize: 1024,
    energyGateThreshold: 0.015,
  });
  return new Response(stream, { headers: STREAM_HEADERS });
}
Real-Time Fleet Safety & TelemetryReal-Time Streaming Case Study
04

The pipeline is part of the product.

Supply-chain hardened releases

Trivy, SBOM, cryptographic image signing, OpenAPI/DB drift checks, and blue-green deploys are how trust is built. Software that cannot be verified cannot be trusted in enterprise production.

INVARIANT SPECIFICATIONENFORCED
// CI deployment gate: Container signing and drift verification
jobs:
  verify-and-sign:
    steps:
      - name: Scan vulnerability baseline
        run: trivy image --severity HIGH,CRITICAL --exit-code 1 $IMAGE_TAG
      - name: Sign container artifact
        run: notation sign --key-id $NOTATION_KEY $IMAGE_TAG
      - name: Verify zero database drift
        run: bunx prisma migrate diff --exit-code
ERP Scale & RAG ArchitectureEnterprise Pipeline Case Study

Open Source & Public Deliverables

Verified Production Artifacts

Open-Source Platform
85%
Retrieval Accuracy

Enterprise RAG Starter Kit

Production-grade self-hosted RAG platform over 10,000+ enterprise documents with hybrid vector search, Reciprocal Rank Fusion (k=60), and pgvector.

TypeScriptpgvectorRRFNext.jsDocker
Inspect Repository
Browser Extension
19 Tools
Injected Utilities

Frontend Dev Helper

Manifest V3 Chrome extension with 19 injected tools replacing eight legacy utilities. Off-thread DOM inspection and zero layout shifts.

TypeScriptChrome MV3TailwindCSSVite
Inspect Repository
Voice & RAG Assistant
Sub-300ms
Audio Round-Trip

Nexus Dual-Modality AI

Interactive voice agent running OpenAI Realtime over WebRTC + streaming portfolio RAG assistant with energy-gated duplex barge-in controls.

WebRTCOpenAI RealtimeVercel AI SDKElysiaJS
Open Live System
Zero-Knowledge Suite
65+ Tools
100% In-Browser

65+ Developer Tools Sandbox

Comprehensive browser-side utility sandbox executing cryptography, formatters, and transforms locally in V8 with zero network telemetry.

Web Crypto APIWasmTypeScriptReact 19
Open Live System

First-Party Facts & Citation Guide

Architectural FAQ & Verification

Rupam Das (known online as rejisterjack) is a Full Stack AI Engineer based in Bengaluru, India. He specializes in treating agentic AI as a production systems problem: multi-tenant isolation, tool-calling evals, and supply-chain-hardened delivery. He has owned systems at PostQode, led a 5-engineer team at EL Nova Labs, and engineered real-time telemetry at Big Wings LLC. All roles and metrics are grounded in verified first-party artifacts.

Rupam Das (rejisterjack) — Full Stack AI Engineer in Bengaluru. Multi-tenant isolation, tool-calling evals, and supply-chain-hardened delivery. https://rejisterjack.com/about
Source proofs:Experience DetailsCase Studies
Interactive System Design Interview

Interview Rupam or Question His Architecture Live

Have questions regarding two-layer tenant isolation, golden eval merge gates, or real-time WebRTC audio pipelines? Test his architectural rationale with Nexus via streaming chat or low-latency voice.

Staff-Level Engineering & Production Advisory

Ready to ship resilient, production-grade agentic systems?

Whether you need staff-level ownership for multi-tenant AI backends, golden eval CI gates, or low-latency streaming architectures, let’s build systems that scale.

View Selected WorkInspect ExperienceGet in Touch
rejisterjack

Full-stack engineer who owns production agentic systems — tenancy, tool-calling evals, and supply-chain-hardened delivery.

rejisterjack@gmail.com
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