I build the systems, pipelines, and intelligence layers that make revenue teams move faster. 7+ years turning fragmented martech stacks into unified, data-clean, AI-powered growth engines across B2B SaaS.
Lead handovers between Marketing and Sales were taking 2–3 business days. By the time reps received a lead, intent had cooled, opportunities stalled in the funnel, and conversion rates suffered — all due to slow, manual qualification.
A robust Lead Qualification Agent on n8n that pulls contact data from HubSpot, enriches it with firmographic data via Apollo & Apify, validates emails through Clearout, sources LinkedIn profiles via SerpAPI, validates company websites through Exa API, and uses a Claude AI prompt to auto-categorize and score each account — all without human intervention.
Sales handoff time compressed from 2–3 days to under 10 minutes. 80% reduction in human-in-the-loop effort. Built with a testing phase to validate accuracy before production deployment — stakeholder pushback on reliability was resolved by hitting >80% accuracy threshold before go-live. Total build time: 30 days.
Intent signals from G2, Factors AI, HubSpot Breeze, and Zenab were scattered across platforms and siloed. Strong buying signals — where the same account was engaging across multiple channels simultaneously — were going undetected and the outbound team was never notified in time to act.
A Clay automation that ingests Factors AI and G2 data via webhooks. An OpenAI prompt summarises multi-channel behaviour and assigns a confidence tier. The workflow then scrapes each account's compliance framework status, sources technographic data via BuiltWith (categorised into infra, code repo, and email provider), and uses Clay's Find People module to surface ICP contacts — all auto-routed to outbound reps.
Outbound opportunity generation scaled from 15% to 45% quarter-over-quarter. Sales reps received accounts enriched with intent confidence score, current compliance status, technographic profile, and ICP contacts — making every outreach conversation more informed and timely.
While building dashboards, I spotted duplicate accounts for the same domain — one tied to an active deal, one not. This meant the demand gen team was retargeting existing customers and sales was cold-outreaching active pipeline accounts. Poor ad ROI and customer complaints about unwanted sales emails were the first symptoms to surface.
Diagnosed the root cause: Contact-to-Deal, Account-to-Deal, and Account-to-Contact associations were out of sync — caused by browser extensions and integrated tools creating duplicate records in the CRM. Disabled bi-directional sync, deployed RingLead for deduplication, then re-enabled sync with strict rules: only create new records when an account or contact doesn't already exist in CRM.
70% reduction in manual data errors. Leadership gained clean, trustworthy reports for the first time. A Rules of Engagement (RoE) framework was established — defining account statuses like Cool Down, On Hold, Available, Customer, Ongoing Deal — giving every team clarity on which accounts they could touch and when.
When joining Sprinto, the martech stack was a patchwork of siloed tools with no clear data architecture. Records were duplicated, intent signals were lost in transit, enrichment data lived in spreadsheets, and every funnel report required manual transformation. There was no live visibility — leadership was flying blind on pipeline health, account scoring, and campaign performance.
Repositioned HubSpot as the single source of truth — the central nervous system through which every record, signal, and metric flows. Architected bidirectional integrations via REST APIs connecting enrichment (Apollo, ZoomInfo, Lusha, Pipe0), intent (Factors AI, G2, HubSpot Breeze Intelligence), scheduling (Chillipiper, RevenueHero, Calendly), and outreach (Clay) tools. Built automated data transformation layers in n8n and Workato, eliminating all manual processing. ICP Fit Scores and RFE models were embedded directly into the CRM for live account scoring — no exporting, no lag.
Three live, always-on intelligence layers delivered for the first time: (1) a unified funnel dashboard tracking the entire pipeline in real time across all regions, (2) live intent signal notifications routing high-intent account alerts directly to outbound reps the moment engagement is detected, and (3) live account scoring surfacing ICP fit and buying readiness without any manual input — enabling revenue teams to act on signal, not gut feel.