conduithq.it.com
I build revenue systems, automation pipelines, and tools that move information to the right people — fast.
About
I grew up in New Orleans. At some point I got tired of waiting for life to come to me, so I packed up and moved to the Bay Area — first one in my circle to do it. My whole family eventually followed. That's probably the most Troy thing I've ever done.
I graduated from San Jose State in 2020, right in the middle of COVID. No ceremony, no real transition — just suddenly out in the world during the strangest possible moment. My degree was in Organizational Studies, not CS or engineering. I learned the technical side by building things until they worked. I figured out the rest as I went.
The instinct that drives my work — noticing what's broken and fixing it — didn't start with any system or org. It started with me. I turned it on myself first. Then I realized I could point it at anything, and it worked the same way. I spent months charting live basketball games for a data analytics firm — tracking plays, verifying data, catching errors in real time. Then I built Courtside. That's usually how it goes.
The midnight builds aren't about hustle culture. I'm not trying to impress anyone with my hours. I'm building toward something real — a stable life for me and my wife. A garden. Farmer's market Saturdays. Barbecue competitions on the weekends. Enough freedom that work is something I choose, not something I have to do.
Conduit is the vehicle. The name means something — a strong, powerful connection between two points. Every system I ship, every tool I build, every problem I solve before anyone asks — it's all pointed at the same thing.
From New Orleans · Based in the Bay Area
Professional Work
Selected work from client engagements at CModel Data, Inc
Case Study 01
Walked into an org untouched for years. No lead process, no attribution, no routing. Built the full system from scratch — five flows, HubSpot integration, contact attribution, engagement scoring, and a 200+ entry change log. Nobody asked for most of it.
Read Case StudyCase Study 02
Started as a broken email sequence. Diagnosed the root cause, expanded scope after spotting a larger opportunity, and built an 8-workflow automation system across four platforms. Lead gen brought in-house. Outsourced vendor replaced.
Read Case StudyCase Study 03
Built a bridge flow that mapped the existing Amount field to a new data structure automatically on every update. Reps kept doing exactly what they'd always done. The new structure populated silently around them. When they finally saw it, the section header read "Auto Populates — For Open Stages Only." It felt like a feature.
Read Case StudyCase Study 04
Built a loop-over-loop flow exactly as instructed. It hit Salesforce's Apex CPU governor limit at 45.17 seconds — every time. Flagged it. No response. So I stopped forcing a broken solution, put quarterly quota directly on the User object — unconventional, nobody does this — and built a projected amount formula field instead. Seven dashboards. 42 reports. No developer required.
Read Case StudyCase Study 05
CModel had hundreds of EDOs in HubSpot with no signal layer — every record looked the same. Built an end-to-end Python pipeline: HubSpot CRM list in, Serper web signal enrichment, Claude ICP scoring, automated write-back. Every scored record now has a 0–100 fit score, a lane classification, a rep-ready signal note, and a personalized outreach hook. No manual research required.
Read Case StudyCase Study 06
No territory structure existed in Salesforce — no object, no regions, no rep assignments. Built a custom Territory object, defined six regions, mapped every AE, audited account ownership against the new structure, and ran a bulk ownership transfer. Caught two edge cases mid-audit: a duplicate state in two reps' lists and an unassigned inside-sales rep. Both resolved. Fully governed, validated, user-accepted.
Read Case StudyCase Study 07
The Head of Marketing was chasing deal-close data in HubSpot — a system that was never built to give it to her. Reframed HubSpot as the marketing-quality layer and Salesforce as the deal layer, then built the tooling to match: a marketing ROI report, a formal sync-direction decision with Salesforce as source of truth, and a HubSpot identity layer with full source attribution. Built over time through the working relationship, not a training session.
Read Case StudyCase Study 08
Leadership wanted to know if reps' emails were being consistently captured in Salesforce — a months-old, unresolved request. Diagnosed the wrong tool being measured, then found Einstein Activity Capture had 7 licenses and 0 configuration, all tied to employees who'd left years earlier. Fixed the licensing — then it broke again a day later, this time from a Microsoft-retired auth method underneath. Migrated to the current supported auth, coordinated the Microsoft-side consent, and confirmed a live, working sync across all 11 current users.
Read Case StudyCase Study 09
With email capture finally working end to end, the project shifted to rollout — and hit a communication problem, not a technical one. Leadership had told a stakeholder an integration was "connected." It wasn't the one they meant — four separate systems had been getting called by the same word. Untangled all four, diagnosed the real license bottleneck, personally verified a live customer email before training anyone, and shipped individually tested, individually delivered instructions to each rep.
Read Case StudyCase Study 10
Leads landed in Salesforce the same way whether the company was a total stranger or a five-year customer — nothing distinguished the two at creation. Built a Salesforce Flow that turns a lead's email domain into a verifiable match against every existing Account, routing real matches to a RevOps review queue and stamping everything else "Net New – Verified." Caught a blank-email edge case and an environment-specific queue ID, both before they could reach production.
Read Case StudyCore Skills
Think Tank
Personal builds. Real problems. Built solo.
AI Content Pipeline
Built a fully automated YouTube content pipeline. Scrapes trends, scores scripts against my content strategy, gates on human approval, generates voiceover, sources matching video clips from Pexels, and assembles the final video. Built for myself. Adopted by my employer. Growing channel with 1.5K weekly views.
Watch on YouTubeFull Stack App
A relocation planning app with real cost calculations, housing delta comparisons, peak season data, and an auto-generated 28-task moving checklist with timelines. Built because spreadsheets aren't good enough for a decision this big.
View ProjectScout Intelligence Tool
A full-featured basketball prospect tracker built for scouts who take accuracy seriously. 44 data fields, 11 evaluation sliders, analytics dashboard, CSV import/export, and printable scouting reports. The differentiator: a bias mitigation system most tools don't think about — blind eval mode hides player identity while scoring, a second-opinion engine flags high-discrepancy evals, and extreme scores require written justification before saving. Built because scouts have blind spots. This catches them.
View ProjectMore builds in progress. Deal Hunter coming soon.
Contact
Available for project-based Salesforce and RevOps engagements. Currently consulting at CModel.