I'm Mayank, an AI automation engineer in Boston finishing my M.S. at Northeastern, with nearly 4 years of full-stack and integration Work.
🛠️Here's what I'm Building
- AI Marketing Ad Review: rule gates screen each ad at zero AI cost, Claude returns a strict-JSON approve / review / block decision, and deterministic fallbacks take over when the model's answer is unusable
- Applications Made Easy: a self-hosted n8n job aggregator over 16 sources
- Next, the Confidently Wrong Lab: measuring how often an LLM judge is confidently wrong, and which oversight actually catches it
📈 What's working
- 834 requests, 0 failures, $0.0044 per ad, 6.4 s median
- Never trusting the model alone: the cheap rules and fallbacks around Claude matter as much as the prompt
- Sharing free templates as an n8n Verified Creator
🙋 One thing I need
A full-time AI engineering or forward-deployed role starting January 2027 (Boston, NYC, or remote). If your team hires builders who ship LLM systems that hold up in production, I'd love an intro!
Introductions
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