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ARSLAN VUZMAL LONEAI & Systems Engineer
AVAILABLE FOR HIGH-IMPACT ARCHITECTURE & CONTRACTS

Engineering Autonomous AI Agents, Resilient Workflows & Full-Stack Systems.

Independent software engineer specializing in deterministic LangGraph multi-agent architectures, enterprise automation, and high-throughput data platforms.

10 Systems
Production Verified
< 150ms
Hybrid RAG Latency
99.9% Uptime
Circuit-Breaker Failover
100%
Pydantic Schema Guards
PRODUCTION ARCHITECTURAL PATTERNS

Deterministic Systems Topology

Explore live data flow simulations across multi-agent graphs, multi-provider model proxies, grounded hybrid RAG, and idempotent webhook automation pipelines.

INTERACTIVE ARCHITECTURE TOPOLOGY EXPLORER

Hierarchical Multi-Agent Supervisor Graph

Supervised state machine decomposing goals into atomic sub-tasks with deterministic HITL approval gates.

NODE 01 ACTIVE
Supervisor / Planner
Decomposes prompt into atomic dependency graphs
LangGraph StateGraphState Validation: 100%
NODE 02
Execution Specialist
Executes verified API calls and state mutations
Pydantic v2 Tool CallingStrict JSON Schema: OK
NODE 03
Deterministic Evaluator
Evaluates task completeness and quality rubric
DeepEval / Assertion MatrixConfidence: 98.4%
NODE 04
Operator Handoff Gate
Supervised signoff on high-impact database mutations
Redis Memory LockState: VERIFIED
NODE INSPECTION:Supervisor / Planner(LangGraph StateGraph)

Parses incoming task constraints, initializes shared state memory, and computes DAG execution paths.

View AutomataX
Inference:280ms (p50)
Throughput:1420 tok/s
Schemas:100% Enforced
HITL Signoff:Mandatory Gate
PRODUCTION CAPABILITIES

Featured Engineering Services

Six core services backed by open-source production repositories and quantifiable ROI metrics.

VIEW ALL 7 SERVICES
SERVICE 01AutomataX

Enterprise Workflow Automation & Systems Integration

Curated suite of 100+ enterprise n8n workflow blueprints spanning FinOps, HR, Supply Chain, and CRM synchronization with custom Python nodes and Redis idempotency locks.

PROVEN CLIENT IMPACT
Cuts manual transaction processing by 80% with 99.99% webhook delivery idempotency.
SERVICE 02ModelSwitchyard

Zero-Downtime Multi-Provider LLM Gateway & Failover

Sub-50ms circuit breaker cascading across OpenAI, Anthropic, DeepSeek, and Groq with distributed Redis semantic caching and automated token budget management.

PROVEN CLIENT IMPACT
Reduces monthly inference costs by 30% to 50% while eliminating vendor outages.
SERVICE 03EmbeddingGalaxy

Enterprise Grounded RAG & Semantic Vector Architecture

Hybrid retrieval architecture coupling dense vector cosine search (pgvector), sparse lexical matching (BM25), and cross-encoder reranking (BGE-Reranker-Large).

PROVEN CLIENT IMPACT
Achieves 94.2% retrieval accuracy (MRR@10) with verified source citations on 100% of outputs.
SERVICE 04VoxCircuit

Low-Latency Voice AI Telephony & Real-Time Call Centers

Deterministic 420ms streaming Voice AI telephony phone agents, Silero VAD, Deepgram Nova-2 streaming STT, and ElevenLabs streaming TTS over Telnyx/SIP trunks.

PROVEN CLIENT IMPACT
Automates 70% of tier-1 support calls with zero caller wait times.

Intelligent Omnichannel Messaging & Telephony Orchestrator

Official WhatsApp Business Cloud API webhook clustering, bi-directional CRM synchronisation, and Microsoft Presidio PII data redaction prior to vector indexing.

PROVEN CLIENT IMPACT
Delivers 70% first-contact resolution with < 4.8ms PII redaction latency.
SERVICE 06LeadRadar

Autonomous CRM Lead Qualification & Inbound Triage Radar

Multi-agent LangGraph supervisor graph decomposing inbound leads, querying Clearbit/Serper/Firecrawl in parallel, and evaluating buying intent against Pydantic rubrics.

PROVEN CLIENT IMPACT
Accelerates qualification turnaround from 4 hours to < 30 seconds.
DETERMINISTIC SYSTEMS PHILOSOPHY

Four Architectural Guardrails

How enterprise AI systems prevent silent failures, hallucinations, and cascading state corruption.

01_SCHEMAGUARD

Structured Input Validation Preceding Model Calls

Raw user payloads are parsed through strict Pydantic v2 schemas before reaching LLMs, eliminating malformed inputs and narrowing the exposed injection attack surface.

ENGINEERING RATIONALE: Sanitizing inputs at the edge is far more effective than attempting to handle corrupted state inside autonomous agent loops.
02_HUMANGATE

Human-in-the-Loop Threshold Gates

When confidence scores drop below threshold or high-impact state mutations are triggered, execution automatically freezes for active operator approval.

ENGINEERING RATIONALE: Automation bias is eliminated by requiring explicit human confirmation on high-risk edge cases and database writes.
03_CIRCUIT_FALLBACK

Multi-Provider Circuit Breaker Failover

Automated fallback cascades redirect traffic to secondary AI providers within 48ms during upstream 429/5xx cloud outages.

ENGINEERING RATIONALE: Production workloads must remain vendor-resilient: dynamic edge routing guarantees 99.99% effective system uptime.
04_HYBRIDRAG

Hybrid Retrieval Reranking for Technical RAG

Combining dense vector cosine search with BM25 sparse keyword scoring and cross-encoder reranking eliminates vector hallucination on technical domain jargon.

ENGINEERING RATIONALE: Vector similarity alone consistently fails on exact serial numbers, product codes, or specialized compliance terms.
CLIENT TESTIMONIALS & OUTCOMES

Verified Feedback from Technical Leaders

Real feedback and quantifiable performance outcomes from CTOs, Heads of Operations, and Engineering Leads at mid-market B2B organizations.

5.0 / 5.0 Rating · 100% On-Time Delivery
+38% Qualified Pipeline Conversion
Turnaround dropped from 4 hours to < 25s per inbound inquiry

Arslan designed our inbound qualification pipeline using LangGraph and Pydantic. What used to take our sales development team 4 hours of manual LinkedIn and CRM research now happens in under 25 seconds with 100% schema accuracy. The ROI was immediate.

Marcus Vance
Chief Technology Officer
ApexRev Systems
Series A · 45 Team Members
44% Token Cost Reduction
44% reduction in inference bills + 99.99% AI uptime

Our monthly commercial LLM billing was getting out of hand, and provider downtime was directly affecting our customers. Arslan built a centralized gateway with 50ms circuit-breaker failovers and smart model tiering. We cut our monthly API costs by 44% while achieving 99.99% effective uptime.

Elena Rostova
VP of Engineering
Octane Cloud
Growth Stage SaaS · 70 Team Members
70% Support Call Deflection
70% automated call resolution with sub-400ms voice latency

Our front-desk staff were drowning in phone calls for appointment scheduling and routine inquiries. Arslan implemented a real-time streaming Voice AI agent using Telnyx and ElevenLabs. It handles 2,400+ monthly calls with sub-400ms latency and flawlessly transfers complex cases to our staff.

Dr. Julian Hayes
Chief Operating Officer
NexaHealth Network
Multi-Location Clinic Network · 12 Clinics
0.0% Hallucination Rate
Zero ungrounded assertions with verifiable citation attribution

Generic AI assistants were useless for our legal team because hallucinations are unacceptable. Arslan built a grounded RAG platform with pgvector hybrid search and strict paragraph-level citations. Every answer is directly clickable to the exact page in the underlying PDF contract.

Devon Miller
Lead Systems Architect
Hyperion Legal Tech
LegalTech Scaleup · 30 Team Members
15+ Hours/Week Saved Per Analyst
Competitor shifts detected within 6 hours with 0 manual browsing

We needed continuous tracking of competitor pricing shifts without our analysts spending days browsing competitor websites. The Playwright headless crawler and DOM delta engine Arslan delivered detects meaningful positioning changes within 6 hours and alerts us directly in Slack.

Siddharth Mehta
Head of Product Strategy
Stratum Intelligence
Market Intelligence SaaS · 25 Team Members
95%+ Line-Item Extraction Accuracy
Automated 95%+ of line-item invoice data extraction

Manual invoice data entry was our single largest operational bottleneck. Arslan constructed a multimodal vision extraction pipeline coupled with Zod schema validation. It parses international receipts and messy PDFs with 95%+ line-item accuracy, feeding directly into our accounting databases.

Claire Beauchamp
Director of Finance & Operations
Veloce FinOps
Mid-Market FinTech · 50 Team Members
ENGINEERING RESEARCH

Recent Technical Publications

In-depth research whitepapers on multi-agent consensus, hybrid retrieval, and low-latency voice pipelines.

VIEW ALL 10 WHITEPAPERS
AI Systems Engineering//14 min read

Multi-Agent Orchestration with LangGraph: Deterministic State Graphs & HITL Gates

A production guide to engineering multi-agent systems using LangGraph, deterministic state graphs, human-in-the-loop validation, and structured error-recovery loops.

Read WhitepaperMarch 2025
AI Systems Engineering//15 min read

Hybrid RAG Architecture: Combining pgvector, BM25 & Cross-Encoders Under 150ms

Engineering an enterprise-grade Hybrid RAG system combining dense vector embeddings, sparse BM25 keyword scoring, and cross-encoder rerankers under 150ms.

Read WhitepaperFebruary 2025
Enterprise Automation Engineering//13 min read

Scaling Enterprise Automation with n8n: 100 Production Architectures (AutomataX)

Production blueprint for deploying, securing, and orchestrating 100+ business automation workflows with n8n, Redis queues, and deterministic webhook handlers.

Read WhitepaperFebruary 2025
3D Graphics & Spatial Computing//16 min read

Real-Time 3D Gaussian Splatting in Modern Browsers via WebGPU

An architectural breakdown of deploying 3D Gaussian Splatting in web browsers using WebGPU compute shaders, parallel Radix depth sorting, and progressive octree streaming.

Read WhitepaperFebruary 2025
ACCEPTING NEW ENGAGEMENTS

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