AVAILABLE FOR NEW ROLES & PROJECTS

AI Automation Engineer
& Systems Architect

I design and build production-grade automation systems connecting AI, APIs, CRMs, business tools, and custom backends to eliminate manual friction and unlock scale.

n8n
Python
FastAPI
AI Agents
APIs & Webhooks
PostgreSQL
Docker
Available for full-time roles, consulting, automation architecture, and AI integration.
AI AgentCore Orchestrator
Autonomous Engine
Webhooks
Gmail
Slack
CRM
Shopify
n8n
FastAPI
PostgreSQL

Automation Systems

End-to-end workflow design, pipeline orchestration, and system automation that run unattended 24/7.

Platforms Integrated

CRMs, business tools, databases, internal apps, and third-party APIs seamlessly harmonized.

AI + Workflow Design

Intelligent autonomous agents, structured outputs, prompt chains, and RAG contextual evaluation.

Production-Ready Delivery

Secure credential handling, observable logging, retries, and high-availability enterprise scale.

Production Implementations

Featured Systems

Real-world automation architectures engineered for reliability, security, and zero-touch execution.

Private Client System

Automated Lead Acquisition & AI Outreach

11-stage pipeline · 5 workflow diagrams
DiscoverEnrichPrioritize
Personalize (AI)Approve
Send (Gmail)Follow Up

An end-to-end B2B automation system for configurable lead discovery, contact enrichment, prioritization, AI-assisted personalization, approval-controlled delivery, reply tracking, and automated follow-ups.

n8nOutscraperGoogle SheetsOpenAIGmailFirecrawl
Production-Ready Private Client System

AI-Powered Recruitment & HR Operations Platform

14-workflow enterprise platform · 4-milestone lifecycle · 7 native data tables
EvaluateGovernHR Review
ValidateExecute

A 14-workflow enterprise automation platform connecting candidate intake, AI rubric scoring, commercial rate governance, HR contract generation, 8-point compliance gating, and automated employee onboarding.

n8n CloudOpenAI GPT-4oMicrosoft Outlook APIGoogle Sheets APIGoogle Drive APIGoogle Apps ScriptNative Data TablesTokenized Webhook Security
Production-Ready Private Client System

AI Quotation Automation

11-stage pipeline · Interactive topology inspector
Email IntakeAI ExtractState DB
Human ReviewAI Revision
System SyncSend & Track

AI-powered quotation operations system combining email intake, structured extraction, human approval, business-system synchronization, and automated customer delivery.

n8nAIAirtableHuman ApprovalEmail Automation
Transformation Benchmark

Case Study: Recruitment Automation

From manual administrative bottleneck to an intelligent, self-executing candidate pipeline.

Before: Manual & Disconnected
Legacy Stack
Job PostedCollect ApplicationsManual ScreeningEmail CandidatesTrack in Spreadsheets
High manual effort
Slow response times
Prone to human errors
Zero operational visibility
After: Automated & Intelligent
Autonomous Engine
Job PostedAI Screening & RankAuto Emails & UpdatesDashboard & ReportsCandidate Hired
80% less manual review time
Instant response to candidates
Accurate & consistent rubric
Real-time visibility & analytics
Capabilities & Engagements

Services

End-to-end automation engineering, from foundational architectural blueprints to production deployment and AI integration.

Automation Strategy & Feasibility

Identify high-friction bottlenecks in your day-to-day operations and get a clear, ROI-prioritized execution roadmap before writing a single line of code.

Process friction & cost analysis
Feasibility & time-savings audit
Architecture & toolchain selection
Phased rollout roadmap
Production-ReadyEngineering Scope →

Resilient System Architecture

Eliminate downtime and unhandled edge cases with rock-solid system blueprints connecting your CRMs, databases, and AI pipelines with zero vendor lock-in.

Fault-tolerant data schemas
Automated retries & outage recovery
Secure credential isolation vaults
Scalability & throughput specs
Production-ReadyEngineering Scope →

Production n8n Pipeline Engineering

Replace repetitive manual human tasks with robust, self-hosted or cloud n8n automation pipelines built with comprehensive error-handling and audit trails.

Custom multi-stage workflows
Sub-workflow state orchestration
Self-hosted Docker deployments
Production-grade error handling
Production-ReadyEngineering Scope →

Applied AI & Autonomous Agents

Turn unstructured documents, emails, and customer requests into clean structured business data using production-guarded LLMs, RAG, and AI tools.

Deterministic schema outputs
Document extraction & parsing
Context memory & prompt routing
Human-in-the-loop oversight gates
Production-ReadyEngineering Scope →

Bespoke API & Platform Bridges

Connect isolated business software into a unified, real-time ecosystem with custom bidirectional webhooks, rate-limiting, and schema normalization.

Bidirectional data synchronizations
Idempotent webhook receivers
Rate-limit & queue management
Data transformation pipelines
Production-ReadyEngineering Scope →

Workflow Security & Performance Audit

Fix silent workflow failures, slow execution runtimes, and security risks in your existing automation stack with a comprehensive code and security audit.

Reliability & error-rate scoring
Credential security verification
Execution latency profiling
Refactoring action plan
Production-ReadyEngineering Scope →
Direct Project Engagement

Have an automation challenge or custom workflow requirement?

From end-to-end multi-agent pipelines to private n8n infrastructure audits, I help fast-moving teams design and ship zero-touch automation.

Core Competencies

Systems I Build & Architecture Stack

Specialized in building resilient automation fabrics, API bridges, and autonomous multi-agent pipelines.

Automation
n8n, Make, Zapier
Backend
Python, FastAPI, Node
Databases
PostgreSQL, Supabase
APIs & Integrations
REST, Webhooks, GraphQL
AI & Agents
OpenAI, LangChain, Claude
DevOps
Docker, Linux, CI/CD

AI Automation

Building intelligent pipelines where LLMs perform non-trivial analysis, data parsing, decision classification, and tool invocation under strict guardrails.

Structured JSON output validation
Dynamic prompt routing & memory caching
Multi-agent task decomposition
Vector embeddings & retrieval systems

Business Automation

Eliminating repetitive human operational tasks across HR, finance, procurement, customer onboarding, and fulfillment operations.

Synchronous and asynchronous order syncing
Document processing & quote compilation
Auto-escalation triggers & alerts
Bi-directional spreadsheet/CRM bridges

API & Integration Engineering

Connecting disparate platforms into a cohesive ecosystem with deterministic webhook listeners, payload normalization, and rate-limit buffering.

Signature verification & HMAC validation
Exponential backoff & retry queues
Schema normalization & type-casting
Microservice contract testing

Backend Engineering

Developing lightweight, high-performance microservices and API gateways in Python/FastAPI to serve as the brain for complex workflow logic.

Asynchronous I/O architectures
PostgreSQL relational modeling & indexes
Background worker queues (Celery/Redis)
Secure OAuth2 & JWT token exchange

Automation Architecture

Strategizing system topologies that prevent single-point-of-failure issues, vendor lock-in, unhandled exceptions, and unbounded execution runtimes.

Dead-letter queues (DLQ) & audit logs
Human-in-the-loop validation checkpoints
Environment isolation (Dev / Staging / Prod)
Automated health checks & heartbeat alerts
Architectural Philosophy

Automation should be reliable, not just clever.

AI automations fail in production when built as brittle scripts. I architect deterministic, observable, and resilient pipelines that teams can bet their business on.

PRINCIPLE 01
Standard

Predictable logic before probabilistic models

Eliminate errors and reduce costs by using deterministic code and schema validation for calculations, routing, and accounting—reserving AI only for tasks that truly require semantic intelligence.

Production Contract#01
PRINCIPLE 02
Standard

AI applied where it delivers highest leverage

Harness LLMs for unstructured intake, multi-modal file parsing, natural language synthesis, and contextual classification—protected by strict schema validation guardrails.

Production Contract#02
PRINCIPLE 03
Standard

Human authority gates for sensitive actions

Protect your business from unvetted operations. High-impact transactions, external communications, and financial updates require explicit one-click human authorization before dispatch.

Production Contract#03
PRINCIPLE 04
Standard

Zero lost data during third-party outages

Shield operations from downtime. Automated exponential backoffs, idempotency keys, and dead-letter queues safeguard every payload and prevent duplicate processing.

Production Contract#04
PRINCIPLE 05
Standard

Bank-grade credential and token isolation

Protect client assets and private databases. All API credentials, webhooks, and tokens reside in encrypted vaults with zero hardcoding and least-privilege scoping.

Production Contract#05
PRINCIPLE 06
Standard

Real-time visibility into every execution

Catch edge cases before clients notice. Structured execution logs, trace IDs, and instant alert channels in Slack or Discord provide 24/7 operational peace of mind.

Production Contract#06
PRINCIPLE 07
Standard

Isolated subsystems to prevent cascading failures

Decouple your tech stack into resilient modules. If an external API experiences rate-limiting, upstream ingestion safely queues without freezing the rest of your company.

Production Contract#07
PRINCIPLE 08
Standard

Clean architecture your team can own long-term

Build assets, not technical debt. Self-documenting n8n workflows, standardized payloads, and modular sub-flows mean any engineer can inspect and evolve the codebase tomorrow.

Production Contract#08
NC // SYSTEMS-ENG
NC
SYSTEMS ARCHITECTURE & AUTOMATION
Deterministic · Agentic · Production-Grade
++++
Engineering Active
Production Systems

Nitu Chakma

AI Automation Engineer

Remote
STACKn8n · Python · FastAPI
PARADIGMDeterministic + AI
INTEGRATIONSREST, Webhooks & SaaS
RELIABILITYRetries, HITL & Logs
Systems Engineer Profile

I design automation systems that turn fragmented business processes into reliable, production-ready workflows.

I’m Nitu Chakma, an AI Automation Engineer focused on business automation, systems integration, and AI-assisted workflows. I work with n8n, Python/FastAPI, REST APIs, webhooks, LLMs, Google Workspace, Airtable, and connected SaaS platforms.

My approach combines deterministic validation, human-in-the-loop controls, retries, deduplication, logging, and clear system boundaries—using AI where it adds value without sacrificing reliability or operational control.

Current Focus

AI automation, systems integration, API engineering, and production workflows.

Earlier Engineering Foundation

Technical operations, infrastructure troubleshooting, uptime, and team coordination.

Production Automation

Reliable end-to-end business workflows

AI & LLM Systems

Structured and evidence-grounded AI workflows

API & Backend Integration

FastAPI, REST APIs, webhooks, and data orchestration

Reliability & Human Review

Validation, retries, approvals, logging, and safeguards

Talent & Collaboration

For Engineering Teams & Technical Leaders

How I integrate into product engineering squads, platform teams, and high-velocity venture studios.

AI Automation Engineer

Building resilient autonomous multi-agent pipelines with LLM tool-calling and deterministic guardrails.

Integration Engineer

Connecting enterprise CRMs, ERPs, billing, and custom REST/GraphQL APIs with idempotent webhook handlers.

Agentic Systems Architect

Architecting self-healing workflows, vector-based RAG search, memory contexts, and human-in-the-loop steps.

Solutions Engineer

Scoping complex automation requirements and translating business operations into bulletproof technical architectures.

Production Engineering Standards

What technical teams can count on from day one:

Strict Git version control & CI/CD deployment hooks
Payload schema validation using Pydantic / Zod
Idempotent webhook handlers preventing race conditions
Environment-variable credential isolation & zero plain keys
Structured JSON logs with correlated trace IDs
Clean TypeScript & modular Python architectures
Let's Build Something Great

Have a process that should be automated?

Tell me how it works today. I'll help determine what should be automated, where AI makes sense, and what architecture fits.

Current Status: Taking on select automation architecture engagements and exploring full-time systems engineering roles.