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navjyotnishant/README.md
Navjyot Nishant · Strategic Technology Leader · Enterprise Solution & Multi-Cloud Architect

LinkedIn Medium dev.to

👋 About

Engagement Manager & Enterprise Solution Architect at Cybage, hands-on with the code. Databases in 2008, and I kept following the hard part upward: distributed systems, multi-cloud, and now the AI layer.

A bit of what I work with, hands-on:

  • 🛠️ Automation  Go and Python tooling, Boto3 monitoring, in-house scripts against cloud DevOps APIs, IaC pipelines. If a task repeats, I script it away.
  • 🤖 AI  writing MCP servers, governed multi-agent delivery systems, and agentic workflows; building gold-tier data for AI/ML.
  • 🗄️ Databases  zero-downtime migrations across Oracle MSSQL MySQL PostgreSQL Cassandra; HA/DR, tuning, and VLDB work hands-on.
  • ☁️ Cloud  AWS · GCP · OCI, data platforms on Databricks · Redshift · BigQuery · Snowflake · Kafka.

I like staying close to the build; the architecture I hand a team is usually something I've prototyped first. Most of what's here is built after hours, a night-time builder's habit. And when I step away, my agents keep going, working through the tasks I've handed them while I'm elsewhere.

Sometimes I write it down → Medium · dev.to

📍 Minneapolis–St. Paul

🛠️ Stack

Go Python TypeScript Shell FastAPI React

AWS GCP OCI Docker Kubernetes

Databricks Snowflake Redshift BigQuery Apache Kafka

Model Context Protocol Agentic AI Salesforce Terraform

📊 GitHub

stats langs

🚀 Featured

Project What it is
specter-agent Governed multi-agent delivery workflows: design, run, approve, audit from one workspace. FastAPI + React.
Relayent Job broker that runs AI jobs on a machine's CLI subscription. Multi-tenant relay + bridge, in Go.
nj-agents SDLC AI-agent toolkit: skills + agents across the whole software lifecycle.
mcp-server-salesforce MCP server for AI assistants to work with Salesforce orgs: Apex, SOQL, metadata.

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