Verified work
Systems built, run, and measured — with the failure modes published alongside the results. Every case study below documents a real operational problem, what was built to fix it, and what it measurably produced. Where something is still unfinished, that is stated too — verifiable work means verifiable limits.
Autonomous prospecting system
Engagement type: Designed and run by me · Multi-source · Multi-market · Scheduled
Runs completed, 15 total, 0 failed
Qualified opportunities scored from 264 companies
Company-to-opportunity conversion rate
Finding businesses with genuine AI-adoption intent, at volume, without manual research across dozens of disconnected sources.
A pipeline that executes search queries across five markets, parses job postings and company news, classifies signals by type and confidence, resolves and deduplicates companies, then scores every opportunity against a target profile and routes only the top tier for human review.
169 search queries executed. 303 job postings parsed. 366 signals extracted. 264 companies resolved. 137 qualified opportunities scored — a 52% conversion rate. 80% of scored opportunities still fresh at scoring. Average opportunity score 43.8 on a 0–100 scale. Five markets: Australia, United States, United Kingdom, UAE, Bangladesh.
Contact verification is not yet implemented, so no contact record has been confirmed. Decision-maker identification is inferred, not verified. No outcome data has been collected yet, because outreach has not run through the system. This is what operated rather than advised means — the failure modes are published because they have not been closed yet.
* All figures verifiable from system records.
Luxury STR operations & automated turnover architecture
Engagement type: Luxury STR Portfolio
Average guest rating maintained across all active listings
Missed turnovers
Manual guest communication and fragmented cleaning schedules caused frequent turnover bottlenecks, scheduling friction, and maintenance delays across the property portfolio.
Standardized guest operations and automated cleaner dispatch by deploying unified inbox routing, automated turnover triggers, and QA checklists in Guesty and Zapier.
Executed automated turnover workflows across all units, eliminating scheduling errors to sustain 0 missed turnovers and a 4.9 average guest rating across all active listings.
Cross-functional engineering & creative delivery framework
Engagement type: Distributed Remote Team, 8-30 Members
On-time delivery sustained over a 2-year engagement
Reduction in process errors
A distributed team scaling from 8 to 30 members across US, AU, and BD lacked documented operating procedures, causing handoff friction and rising process errors across 30+ concurrent projects.
Architected centralized standard operating procedures, structured sprint cadences, and role-based onboarding paths across Asana, ClickUp, and Notion.
Implemented cross-functional delivery systems that cut process errors by 30% and sustained 100% on-time delivery throughout a 2-year engagement.
Multi-channel CRM consolidation & pipeline automation
Engagement type: B2B CRM Consolidation
Manual admin work saved per week
Automated lead-to-pipeline sync
Manual lead entry, disconnected forms, and fragmented handoffs between marketing and sales created pipeline friction and delayed response times.
Designed a centralized two-way automation architecture across HubSpot, Zoho CRM, Zapier, and Make, routing captured leads directly to pipeline stages with instant qualification rules.
Deployed automated lead routing and real-time field synchronization, establishing a 2-way automated lead-to-pipeline sync that saved 10+ hours of manual admin work per week.
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