hey, I'm Akash ๐Ÿ‘‹

Welcome! I'm an adventurer at heart โค๏ธ and a technologist by profession. I currently work as the Lead Technical Consultant โ€” Partner at Bloomreach.com logomarkBloomreach Inc. โ€” helping partners build better, move faster, and get the most out of AI-driven commerce.

Growing up in multiple cities across ๐Ÿ‡ฎ๐Ÿ‡ณ India, thanks to my family's army background, I've developed a knack for adaptability and a love for exploring new places. Now calling ๐ŸŒ‰ San Francisco home.

San Francisco
San Francisco, CA
Diwali
Diwali
Akash Rajput โ€” a moment
Moment
Akash Rajput out and about
Out and about
Horseshoe Bend
Horseshoe Bend, AZ
Akash Rajput out and about
Out and about
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what makes me tick?

I picked up snowboarding not too long ago and I'm already obsessed. There's something about the mountain that resets everything โ€” no emails, no Slack, just speed and snow. Still learning, still falling, fully hooked. ๐Ÿ‚

I cook a lot โ€” mostly Indian food, sometimes experiments that go sideways. Badminton is my go-to for switching off the brain. Fast game, instant results, very different from the slow burn of enterprise software. ๐Ÿณ๐Ÿธ

Punjabi music is always on โ€” check out my Spotify logomarkSpotify playlist if you want to know exactly what I'm listening to while building workflows at midnight. ๐ŸŽต

Akash Rajput snowboarding at Mammoth Mountain, CA
Akash Rajput cooking Indian food at home
Akash Rajput at Muir Woods, San Francisco
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thinking about

Things I'm noodling on โ€” not conclusions, just where my head is.

AIApr 2026

The interesting problem with agentic orchestration isn't the AI part โ€” it's the coordination layer. Who owns the handoff between agents? What happens when one stalls mid-flow? The patterns that work in single-LLM setups start to break down fast when you chain four of them together.

CommerceMar 2026

Partner ecosystems are about to get weird with AI. The value a partner used to provide โ€” custom integrations, bespoke configurations โ€” is increasingly something a good agent can draft in an afternoon. The partners who survive will be the ones who own the client relationship and the judgment call, not the implementation hours.

TechFeb 2026

Putting LLMs into implementation workflows sounds good until the first hallucination lands in a production config. The hard part isn't getting AI to help โ€” it's knowing exactly where to trust it and where a human still needs to be in the loop. That line is different for every client.