Building agentic automation for D2C brands
Architecting end-to-end AI systems at Better Bright abandoned cart recovery, content pipelines, and multi-node agents connecting Shopify, messaging APIs, and analytics dashboards.
Building systems that work from distributed task queues and TCP socket programming to AI pipelines and agentic automation. I write code that runs, ship products that work, and think in systems.
A live snapshot of what I'm building right now: agentic systems, AI pipelines, and real products that serve real users.
Updated Jun 2026Architecting end-to-end AI systems at Better Bright abandoned cart recovery, content pipelines, and multi-node agents connecting Shopify, messaging APIs, and analytics dashboards.
Deep-diving into distributed task queues, TCP socket programming, concurrent processing patterns, and fine-tuning LLaMA for domain-specific AI applications.
End-to-end agentic automation using n8n and Google Opal abandoned cart recovery, AI content pipelines, Shopify webhook integrations.
Full product architecture, 200+ validated user sign-ups from a structured trial wave. Data-backed decisions to continue building.
E-commerce ops, AI content pipelines, CRM segmentation, and creator management across platforms.
Some projects become products. Some stay as learning exercises. All of them teach me something useful about systems.
TCP socket programming, LRU eviction, and Write-Ahead Logs — what building PyKV from scratch taught me about systems design.
How I fine-tuned Stable Diffusion for Indian ethnic wear design — a practical guide to domain-specific generative AI.
The best products and the best chess games share the same principle — think three moves ahead, but be ready to throw the plan away.
More about what I do outside code ↗