About
Garvin Chanderia
“I diagnose before I build.”
My background is in enterprise architecture and analytics: designing how systems connect, how data flows, and how decisions get made inside large organisations. That background shapes every build here. I map the operations first, then build the automation around what actually exists, not what the documentation says.
The builds are real systems, not demos or mockups. Each one started with a manual process someone was doing by hand every day.
Connect on LinkedInExperience
Where this comes from.
Product Consultant, Enterprise Architecture Platforms · Invecto Technologies
Oct 2025 – Present- Own discovery and delivery of enterprise architecture reporting and workflow capabilities
- Translate requirements from CTO-level stakeholders, architects, and EA teams into platform configuration and demos
BI Developer / Product Owner · Cummins India
Jun 2024 – Oct 2025- Built 35+ dashboards translating real-time plant operations into actionable ERP insights
- Automated recurring reporting workflows with Power BI and Power Automate, cutting turnaround time by 40%
- Promoted from Data Analyst Intern after demonstrating impact on the reporting backlog
Founder, Product & Insights Lead · ThrottleApp
Jan 2024 – May 2025- Took a motorcycle road-trip companion app from 0 to 1, 300+ organic downloads in 4 months
- Ran 200+ user interviews and usability tests to shape the product roadmap
Builds
What I build with.
n8n is the connective tissue between a brand's tools and an AI layer that reads, decides, and acts. See the live builds, including ThreadWave, the AI support triage system that hit 61% auto-resolution in 30 days.
On the personal side, I built an n8n MCP Server: a connector that lets the Claude API call n8n's REST API directly through 10 custom tools, so an AI agent can build, inspect, and run workflows. It's a personal R&D project exploring how far an AI agent can go in managing its own automation layer.
Skills
Toolkit.
Business Analysis
Automation & AI
Analytics
Education & Certifications
Background.
B.Tech, Computer Engineering (AI/ML Specialisation)
MIT ADT University · 2020 – 2024
Certifications
- Anthropic (2026): MCP, Subagents, Agent Skills, Claude Code, AI Fluency
- Microsoft AI Product Manager Professional Certificate
- Avolution ABACUS (Enterprise Architecture)
- Databricks Lakehouse Architecture