Current Employment Status:
Hired Part Time on Jul 1, 2026
I build systems for clients. No BS, straightforward, get the job done.
I find what's broken and build the fix. Not every problem needs automation first, some need the foundation rebuilt. I map the process before I touch a tool, then measure what I built and fix what the numbers say.
Stack: Airtable · n8n ·
US real estate acquisitions team (Land Addiction Inc.)
Built:
*Airtable as the data hub, n8n syncing contacts into GoHighLevel
*Caught a dedup bug with shared phone numbers before it scaled
*Built a workaround for a GHL limitation their own support couldn't fix
*Imported two county tax datasets, thousands of contacts, auto-tagged in one run
Same client, phase two AI research agent
One lead took a researcher 30+ minutes by hand. Deeds, probate, obituaries, heirs, phone numbers. Thousands of raw tax accounts across three Texas counties.
*Agent researches a lead end to end and writes findings straight into Airtable
*Qualification gates kill dead leads before they cost anything
*Scraped two county tax portals for raw accounts
*Measured it across 150+ leads, found most of the budget going to leads that could never close, rebuilt the gate order around what the data said
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Caribbean relocation platform (
Problem: Founder wanted a full no-code member platform. Quiz to paid member to booked consultation, without touching a single tool himself.
Built:
*Typeform quiz scores 7 countries,
*Airtable holds the data across four linked tables
*Stripe runs subscriptions
*MailerLite runs a 4
*MemberSpace gates the member area, connected to Stripe so access revokes automatically on a failed payment or cancellation
*Personalized member dashboard built directly on the client's own site, pulling each member's quiz result live
TidyCal handles paid 1-on-1 consultation booking inside the gated area
Result: Full funnel live, quiz to paid member to booked consultation, zero manual work for the founder.
Check my portfolio website here:
Experience: Less than 6 months
Most Airtable setups i see are glorified spreadsheets. I design bases around how the business actually works. Most recent build: real estate acquisitions CRM for a US client. Four linked tables. Four role-specific interfaces. Webhook receiver handling DNC propagation, dedup logic, and unknown caller branching automatically. Lead scoring formula across five criteria. Paid, delivered, all test scenarios passing.
Experience: 6 months - 1 year
I build automations where AI does a specific job inside the workflow. Not a chatbot add-on. The decision logic. Lead scoring pipeline that qualifies and routes inbound leads in under 60 seconds. Voice agent that handles clinic calls end-to-end without a receptionist. Production Airtable CRM with a webhook receiver handling four distinct scenarios automatically. I diagnose the process first. If the foundation is broken, AI makes it break faster. I fix the foundation before i build on it.
Experience: 6 months - 1 year
REST API is how most of my builds talk to each other. My primary tool is n8n — i use it for complex multi-step workflows that need conditional routing, error handling, and webhook-based triggers. Builds: lead scoring pipeline, voice agent backend, multi-directory lead scraper with Apollo enrichment. Every workflow has error branches. Nothing fails silently. Also comfortable building direct API calls in Make, Zapier HTTP modules, and Google Apps Script where the platform doesnt have a native connector.
Experience: Less than 6 months
I use GHL as the CRM layer in multi-tool automation stacks. Contact creation, pipeline routing, tiered tagging, workflow automation, outbound sequence triggers. Built it into a lead scoring pipeline where inbound leads route by tier within 60 seconds. Hot leads get a Slack alert and a 30-minute follow-up reminder if no action. Cold leads go into drip sequences. No manual sorting.
Make Intermediate certified. Builds: Gmail attachment classifier (Gemini API classifies and renames files on arrival), Xero-to-Asana transaction sync (exports account data, formats as CSV, creates structured tasks), Gmail invoice watcher logging to Google Sheets. Comfortable with routers, iterators, error handling, and connecting APIs that dont have native Make modules.
“My business would not be able to go forward if it was not for them”
Gaurab - Adhikari
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