AYSystems folio / 2026 Available for principal AI roles ↗
Arun Yadav · Principal AI Systems Engineer India / global · IST

ArunYadav

Business problem → architecture → production → evidence

I work where an ambiguous business operation must become a governed, observable and reliable AI system.

Forward Deployed AI EngineerAI Platform ArchitectBackend Systems EngineerAI Reliability Engineer
00 / Position

Not a collection of screens. A record of systems carried into production.

I translate customer workflows into architecture, build the backend and intelligence layer, integrate enterprise systems, instrument the runtime, and turn one-off delivery into reusable platform capability.

Experience10+ years
Current focusAgents as infrastructure
Strongest edgeAI × backend × operations
Target rolesPrincipal / FDE / Architect
40%
lower resolution time

Banking agentic helpdesk — reported mean ticket-resolution improvement.

30%
lower cloud cost

Cloud migration and architecture optimization across prior enterprise delivery.

20–25%
lower latency

Backend, retrieval and caching improvements in production services.

60%
manual work automated

Workflow automation replacing repetitive operational effort.

01 / Selected work

Six systems.
One operating model.

Problem → constraints → architecture → hands-on implementation → production hardening → measurable or verifiable evidence.

01 / Selected workEnterprise AI PlatformEnterprise / Current

Agents as Infrastructure

Hive

A self-service control plane for teams to package, deploy, govern and reuse containerized AI agents as enterprise infrastructure.

Open case study
CONTROLPLANE TEAMAGENT MODELTRACEREGISTRY
My rolePlatform architecture + backend
SystemControl plane + agent runtime
Hard partFramework-neutral governance
EvidenceContainers · IAM · observability
02 / Selected workForward Deployed AIEnterprise MVP / Telecom

AI Helpdesk

Field Operations

One role-aware assistant across job insights, technical knowledge and supervisor workflows for field technicians in the flow of work.

Open case study
ROUTEBY ROLE + INTENT FIELDSUPERVISOR JOBSDOCSRAGHITL
My roleSolution architecture + orchestration
SystemManager + domain agents
Hard partPermissions across fragmented sources
EvidenceRAG · SSO · mobile workflow
03 / Selected workSecure Agentic ApplicationEnterprise delivery

Agentic Helpdesk

Banking

Secure intent-aware support for cards and accounts using hybrid retrieval, graph context and guarded tool execution.

Open case study
AGENTGUARDED EXECUTION INTENTVECTORGRAPHTOOLS
My roleGenAI + backend architecture
SystemIntent router + hybrid RAG
Hard partSensitive context + tool safety
Outcome40% lower mean resolution time
04 / Selected workAI SaaS ProductLive product

Agentic Content OS

PillarQuill

An agentic content operating system that turns research into strategy, governed creation, publishing and learning loops.

Open case study
RESEARCHSTRATEGYCREATEPUBLISH CONTENT LOOP
My roleFounder + end-to-end architecture
SystemResearch-to-publish agent workflow
Hard partWorkflow continuity across channels
StatusLive studio
05 / Selected workAI-Native Vertical SaaSActive product

Inception to Offer

Placement OS

A closed-loop career system from role discovery and diagnostics to practice, mentoring, CV iteration, interviews and offer tracking.

Open case study
DISCOVERBUILDPRACTICEPROVEOFFER FEEDBACK LOOP
My roleProduct + platform architecture
SystemGo modular monolith + AI workflows
Hard partOne stateful journey across many roles
EvidenceHTMX · Casbin · OTel
06 / Selected workAI Reliability / EvaluationR&D + product architecture

Reliability Intelligence

Agent Trace

A reliability layer that compresses raw agent traces into recurring failure shapes, release gates and actionable root-cause evidence.

Open case study
CLUSTERFAILURE SHAPES RAW TRACES → SIGNAL → RCA → RELEASE GATE
My roleProduct + reliability architecture
SystemTrace scanners + clustering
Hard partSemantic failures with valid HTTP 200s
EvidenceEvals · RCA · quality gates
02 / Evidence ledger

Skills, mapped to where they were used.

No undifferentiated logo cloud. Every capability points back to systems, production concerns and concrete ownership.

01

Forward Deployed Engineering

Field Operations · Hive · ServiceXPro
Discovery, workflow mapping, integrations, deployment and reusable primitives

+
02

Agent Orchestration

Hive · Field Operations · Banking · PillarQuill
Routing, tools, memory, structured artifacts and human escalation

+
03

Retrieval & Knowledge Systems

Field Operations · Banking · Grant Copilot · Company Brain
Hybrid RAG, permissions, citations, graphs and ingestion pipelines

+
04

Backend & Platform Engineering

Hive · Placement OS · ServiceXPro · SaaS Baseline
APIs, modular boundaries, queues, caching, identity and data systems

+
05

Multi-Tenancy & Enterprise Security

Hive · Placement OS · PillarQuill · ISO Platform
RBAC, tenant isolation, credentials, auditability and policy enforcement

+
06

AI Reliability & Evaluation

Trace Intelligence · Hive · Field Operations
Traces, semantic SLOs, eval gates, fallbacks, RCA and incident readiness

+
07

Cloud & Delivery

Hive · Field Operations · Banking
AWS, containers, Kubernetes, IaC, CI/CD and environment governance

+
08

Product Architecture

PillarQuill · Placement OS · ServiceXPro
Problem framing, domain models, closed loops and end-to-end execution

+

Additional systems

A broader body of work across SaaS, compliance, evaluation, business automation and domain-heavy backend platforms.

07

ServiceXPro

AI CRM and operations platform for service businesses

Live product
08

Closed-Loop Company Brain

Organizational memory → reasoning → role-authorized action

Architecture / prototype
09

ISO Compliance Platform

Multi-standard workflows across ISO 27001, 20000, 9001, 13485 and 22000

Product architecture
10

Human-in-the-Loop Evaluation SaaS

Task givers, evaluators, bidding, KYC and quality-control workflows

Product architecture
11

Operational SaaS Systems

Salon, appointments, billing, inventory, real estate and PostGIS workflows

Backend systems
12

Grant Application Copilot

Document intelligence, hybrid RAG, citation validation and governed assistance

Enterprise AI prototype
13

Creator Studio

AI-assisted content creation, publishing, analytics and compliance workflows

AI product
14

Reusable SaaS Platform Baseline

Auth, RBAC, subscriptions, queues, caching, audit, quotas and analytics

Reference architecture
03 / Experience

Backend foundations.
Enterprise AI systems.

Current

BMW TechWorks

Enterprise agent platform, AI orchestration, FastAPI, AWS/Pulumi, Kubernetes, IAM and observability.

Senior Engineer / AI Platform
Previously

Ascendion

Principal-level backend and GenAI delivery across enterprise systems, secure RAG and integration architecture.

Principal Engineer
Previously

Accenture

Python platforms, APIs, automation, CI/CD, cloud delivery and engineering leadership.

Senior Software Engineer / Team Lead
Foundation

Syntel

Enterprise backend services, databases, automation and production delivery discipline.

Software Engineer

I prefer the edge where business logic, model behavior and production reality collide.

04 / Profile

How I work

I reduce ambiguity first. Then I define boundaries, failure modes, evidence and operational ownership before scaling the implementation. I remain hands-on through APIs, orchestration, data models, infrastructure and production diagnostics.

BuildPython · FastAPI · Go · HTMX
IntelligenceLangGraph · RAG · tools · memory
DataPostgres · pgvector · Redis · Neo4j
OperateAWS · Kubernetes · OTel · Langfuse
GovernRBAC · IAM · tenancy · audit
OptimizeLatency · cost · caching · reliability
05 / ContactComplex AI product · enterprise constraints · production deadline

Let’s build the system people depend on.

© 2026 Arun YadavReplace the three contact placeholders before deployment.Designed as an engineering folio, not a product landing page.