Singapore-Based • Available for Principal Consulting Modules

Engineering Intelligent
Full-Stack AI Agents

Hi, I am Sathish Raja. Senior Engineer with 14+ years of experience optimizing system orchestration, core Node.js clusters, and multi-agent frameworks.

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01. Core Capabilities Matrix

Comprehensive skill-distribution mappings pulled from 14+ years of professional code bases.

Professional Timeline Profile

I specialize in structuring and shipping production-grade distributed architectures across Singapore. My experience spans high-throughput web portals for public-sector platforms, hardware integration layers for autonomous mobile robotics, and cutting-edge non-linear background workers built via LangGraph multi-agent runtimes.

By standardizing development environments via Docker container pipelines, I consistently minimize deployment operational vulnerabilities by 50% while scaling overall data transaction outputs by 40%.

Infrastructure Registry Node: sathishraja.comSecure TLS Operational Status

🤖 Generative AI

  • ■ LangGraph Flow Orchestration
  • ■ Multi-Agent System Design
  • ■ RAG Text Vector Embeddings
  • ■ Model Context Protocol (MCP)
  • ■ Qdrant Core Database Vectoring

💻 Client UI Stack

  • ■ Next.js 16 Server Architecture
  • ■ React 19 Application Pipelines
  • ■ TypeScript Strict Parameter Layer
  • ■ Tailwind CSS v4 Engine UI
  • ■ Zustand Central State Caching

⚙️ Server Operations & Systems Optimization

BACKEND ENGINE

Node.js / Express 5

TASK QUEUEING

BullMQ / Redis Cache

CONTAINER LOGS

Docker Engine Pipeline

DATABASE INTEGRITY

PostgreSQL / MongoDB

02. Projects Repository

Independent Consulting (Singapore) | 10/2024 - Present

SmartHireAI Platform

Multi-tenant AI Applicant Tracking System managing secure agent workflows across recruitment pools.

  • ▶ Coordinated multi-agent screening workflows using @langchain/langgraph and @langchain/ollama.
  • ▶ Engineered an async document parsing loop ingest pipeline using pdf2json backing local Qdrant vectors.
  • ▶ Regulated compute footprints by abstracting ingestion routines into unblocked BullMQ worker networks.
Next.js 16React 19LangGraphQdrant DBBullMQRedisMCP SDK
Konica Minolta Solutions Asia | 12/2022 - 09/2024

sWorkflow Platform

Configurable automation infrastructure controlling navigation path logs for multi-floor robotics fleets.

  • ▶ Bridged high-scale processing networks securely into third-party automated AMR equipment rigs.
  • ▶ Standardized sandboxed deployment routines with Docker layers, scaling down runtime faults by 50%.
Node.jsDockerMicroservicesSystem DesignAMR Interface API

03. Secure Contact Network Node

Initiate connection routines directly for enterprise requirements or technical consulting allocations.