I turn vague business requests into production AI systems — orchestration, not pure coding labor. Flagship: Business OS.
Flagship · 2026
Vague problem → AI-orchestrated strategy → locked plan → specialist agents → paste-ready outputs. One public product hiring managers can open and walk through.
Multi-agent product · Grok Build
Strategist (RAG on Hormozi vault) → plan lock → Copywriting / Builder specialists → real artifacts. Built for remote AI implementation roles that care about outcomes, reliability, and demos you can click.
01
Strategist chat
Hormozi-grounded RAG diagnosis
02
Plan lock
Structured plan + approval
03
Specialists
Copywriting + Builder agents
04
Outputs
Paste-ready drafts, not dumps
Stage · Constraint
Stage 0 · Product · Both
Pipeline
Context → Strategy → Plan → Approve → Execute → Done
Outputs
VSL script · nurture emails · demo blueprint
How I work
No framework. Just the sequence that gets vague requests into production.
Hover a stage to see what happens there.
Selected work
Same frame every time — problem, solution, outcome — so you can compare the thinking. Business OS is the flagship above.
Mid 2024
Fast AI-assisted shipping of production marketing sites for SMBs.
Problem
Local businesses needed clean, findable sites without long agency timelines.
Solution
Built with Lovable AI: conversion-focused pages, service/location copy, SEO foundations (titles, meta, brand + local intent).
Outcome
Live pantherfitness.in and k2salon.in — brand searches for panther fitness and k2 salon rank #1 on Google.
2024 – Early 2025
Turning manual operational work into dependable systems.
Problem
Small teams losing hours a week to manual routing, notifications and CRM upkeep.
Solution
Composable workflows for lead routing, CRM sync and alerts. Retries, dead-letters, failure awareness.
Outcome
Predictable throughput — foundation for later agentic systems.
2025 · ~5–6 months
Independent project work — GTM + engagement for a growth offer (not employment).
Problem
Fragmented positioning, no reliable inbound loop, engagement scattered across channels.
Solution
Landing page + GTM offer research for a US dermatology clinic growth service; Skool content + engagement system.
Outcome
Supported inbound interest and deal conversations with a repeatable path from stranger to qualified interest.
Late 2025
End-to-end personalized outbound at volume — production-minded personal system.
Problem
Generic cold outbound is ignored; unverified data burns sender reputation; hand personalization does not scale.
Solution
5-stage pipeline: source → enrich/verify → batch hyper-personalized assets → deliver → reply handling. Built with Google Antigravity + Python/Modal.
Outcome
Higher-signal personalized outreach with verify-before-send discipline and repeatable weekly runs.
Late 2025 – Present
Agentic revenue protection at the meeting layer.
Problem
Booked calls no-show; generic reminders ignore risk and timing.
Solution
4-stage agentic flow: risk score → channel/timing/intensity → multi-channel reminders → assisted rescheduling. Built with Hermes + OpenAI Codex.
Outcome
Maps AI to a P&L-adjacent KPI — show rate / protected meeting revenue — not a toy chatbot.
Flagship: Business OS. Scanner / other tools ship after they meet the same honesty bar.
Why hire me
Tech changes every quarter. The thinking that turns a messy request into a reliable system doesn't.
The stack changes. The thinking doesn't. No favourites to defend.
Research, prototype, test, harden, monitor. Silent failures are bugs.
Every system maps to a number the business already tracks.
Capabilities
I pick tools by real capability and benchmarks — not brand loyalty. If something better shows up, I switch.
Agentic tools
Research
AI models
Automation
Deployment
Integrations
Contact
Best fit: remote AI implementation, automation, or operations roles where the brief is unclear and someone has to own the whole loop.
Available remote · India & international