AVAILABLE FOR HIRE

Innovating at the
Intersection of
Code & Strategy

Full-stack system architect, API engineer, and cloud specialist. I build production-grade middleware, automated pipelines, and enterprise integrations that scale.

navid@portfolio ~
$ cat profile.json
// loading developer profile...
{
   "name": "Navid",
   "role": "System Architect",
   "stack": ["Node.js", "Python", "Express", "AWS", "MongoDB"],
   "focus": "Middleware, EDI & API Integration",
   "status": "ONLINE"
}
0+
Projects Deployed
0K+
SKUs Managed
0+
APIs Integrated
0.9%
Uptime SLA

Building the Future,
One System at a Time

With a passion for clean architecture and production-grade code, I specialize in building the invisible infrastructure that powers modern businesses—ranging from API integrations that sync inventory across multiple marketplaces to automated data pipelines that process thousands of records daily.

My approach combines systems thinking with security-first engineering. Every middleware system I build is hardened with rate limiting, input validation, structured logging, and graceful shutdown handling — because in production, reliability isn't optional.

When I'm not architecting backend systems, I'm exploring AI/ML integration, tuning LLMs for domain-specific tasks, and contributing to open-source tooling that makes developers' lives easier.

🏗️
System Design & Architecture
End-to-end middleware pipelines, microservice patterns, and cloud-native architecture for high-throughput data systems
🔗
Middleware & API Integration
Bridging enterprise APIs — Amazon SP-API, Airtable, payment processors — with streaming decompression and security hardening
🛡️
Production-Grade Engineering
Security-first code with Helmet, CORS, Zod validation, structured logging (Pino), and decompression bomb protection

Architecting Scalable Solutions

A curated toolkit built for enterprise-grade middleware, cloud infrastructure, and API engineering.

navid@arsenal ~ skills --list
Languages & Runtimes
JavaScript (ES2024) Node.js Python TypeScript HTML5 / CSS3 SQL
Frameworks & Libraries
Express.js React Next.js Mongoose Axios Zod Pino Helmet
Infrastructure & Cloud
AWS (SP-API) Google Cloud Platform Cloudflare Workers Docker CI/CD Pipelines Nginx
Databases & Storage
MongoDB PostgreSQL Redis Firebase / Firestore
Specialties
API Architecture Middleware Engineering EDI / SFTP Pipelines XML Generation (IAA 2.2) Gzip Streaming Webhook Pipelines Rate Limiting Security Hardening AI/ML Integration LLM / RAG Systems

Real-World Production Systems

Open-source middleware and enterprise integrations deployed to production.

// PROJECT 01

Airtable Middleware
Data Relay Engine

CHALLENGE → Relay gzip-compressed data between Airtable automations and destination APIs with zero data loss
SOLUTION → Express middleware with streaming decompression, configurable forwarding, and decompression bomb protection
IMPACT → Automated data sync pipeline handling thousands of records with sub-second latency
Node.js Express Zlib Helmet CORS Rate Limiting
View on GitHub →
Source
Airtable Automation
gzip-compressed POST
Content-Encoding: gzip
Middleware
Decompress & Validate
Helmet · CORS · Rate Limit · Bomb Guard
JSON payload
Destination
Target API
POST forwarded response
// PROJECT 02

Inventory Report Middleware
Amazon SP-API Pipeline

CHALLENGE → Automate vendor inventory & sales report extraction from Amazon's SP-API with async polling
SOLUTION → Full pipeline — request → poll → download → decompress → parse → store in MongoDB with structured logging
IMPACT → Managing 50K+ SKUs with automated daily sync, Zod-validated configs, and graceful shutdown
Node.js Express MongoDB Axios Zlib Pino Zod AWS SP-API
View on GitHub →
Trigger
POST /report
Zod-validated request
Authenticated
Amazon
SP-API → Poll → Download
Async polling loop
gzip stream
Process
Decompress → Parse → Store
Pino logs · Graceful shutdown
structured data
Storage
MongoDB
50K+ SKU inventory
// PROJECT 03

Amazon EDI Pipeline
Vendor Inventory Sync

CHALLENGE → Automate inventory updates for Amazon Vendor Central via EDI — read spreadsheets, distribute stock across 8+ warehouses, and upload compliant XML over SFTP
SOLUTION → Python pipeline: Excel/MongoDB → filter valid ASINs → multi-warehouse integer distribution → IAA 2.2 XML generation → automated SFTP upload with SSH key auth
IMPACT → Eliminated manual inventory updates across 8 warehouses, ensuring Amazon-compliant EDI submissions with zero human intervention
Python Paramiko (SFTP) openpyxl MongoDB XML (IAA 2.2) SSH/SFTP Amazon EDI
View on GitHub →
Source
Excel / MongoDB
Inventory spreadsheet or live DB
filter valid ASINs
Distribute
8 Warehouses
Integer division · even split
per-warehouse quantities
Generate
IAA 2.2 XML
Amazon-compliant EDI format
SSH key auth
Upload
Amazon SFTP
na-sftp.amazonsedi.com

Technical Ecosystem

Core Systems
Express.js API ONLINE
MongoDB Cluster ONLINE
Node.js Runtime ONLINE
Webhook Handler ONLINE
UPTIME 99.97%
API Endpoints
POST /upload 200 OK
POST /report 200 OK
SFTP Upload 200 OK
GET /health 200 OK
SP-API Auth ACTIVE
LATENCY <45ms
Security Layer
Helmet Headers ACTIVE
Rate Limiter ENFORCED
CORS Policy STRICT
SSH Key Auth VERIFIED
Bomb Guard ARMED
THREATS BLOCKED 2.4K
☁️
Google Cloud
Compute & storage
🔥
Firebase
Auth & realtime DB
🍃
MongoDB Atlas
Cloud database clusters
Airtable API
Data relay & sync
📦
Amazon SP-API
Vendor reporting & inventory
🔄
Amazon EDI
SFTP & XML compliance

Let's Build Something
Extraordinary Together

Whether you need a scalable backend system, API integration, or cloud architecture — let's talk.