Enterprise AI Portfolio
Selected AI Systems.
Seven platforms I designed, engineered, and shipped for a global B2B enterprise — combining generative and agentic AI with production-grade MarTech architecture. Each removes manual overhead and drives a measurable business outcome.
Revenue Operations & Lead Velocity
GenAI Lead Automation PipelineProduction
Fully automates collection, evaluation, contextual classification, and routing of inbound leads across global form touchpoints. Combines generative AI intent-parsing with agentic workflow automation — operating hands-free, removing triage delay and lead leakage, and accelerating speed-to-lead to real time.
Business impactSales sees every qualified lead the moment it arrives instead of waiting on manual triage — so revenue-critical enquiries are never lost or delayed, while the team is freed from 852 hours of routing work a year.AI's roleAn LLM reads each inbound message, infers the sender's intent, and assigns the correct route — Sales, HR, Recruitment, or Spam — the judgment step a human used to perform.
Source
Inbound form
Global HubSpot forms
→
Capture
HubSpot webhook
Instant raw payload
→
Orchestrate
Make.com / n8n
Agentic workflow
→
Gemini / Claude
Contextual triage
Parses intent from metadata
→
Sales queriesHR & careersRecruitmentSpam
ThenCentral DB syncAuto team alerts (API)
Highlighted = the AI step. Hands-free end to end — one form submission, LLM-classified into four routes and synced with alerts.
$7M+
annual closed-won revenue influenced
852 hrs
manual labor eliminated / year
Content Marketing & Automated Intelligence
Market-Intelligence Newsletter EngineActive Pilot
Automates the full lifecycle of a weekly market-intelligence broadcast — retrieval, verification, summary writing, and responsive layout. A double-pass verification script reads each source page and compares it against the AI summary to guard against hallucination; a Telegram bot enables one-click human approval on mobile.
Business impactTurns a full day of manual research-and-build into a 30-minute reviewed workflow — keeping the audience informed weekly with verified, hallucination-checked intelligence, and without adding headcount.AI's roleAI retrieves and summarizes market sources; a second AI pass then re-reads each source and checks the summary against it to catch hallucinations before anything is sent.
Gemini API
Retrieve & sort
Direct DB query — no scraping
→
GenAI
Double-pass verify ↺
Reads source vs. summary
→
Telegram bot
One-click approve
Mobile sign-off
→
Mailchimp
Deliver
Responsive HTML
PillarsCustomer newsCompetitor intelTech trendsVerification log
Highlighted = the AI steps. AI drafts, then a second AI pass fact-checks itself against each live source before a human approves on mobile.
6h → 30m
weekly production time
100%
source-match & scraper reliability
Brand Governance & Web Engineering
Creative Studio — Canvas-First WYSIWYG PlatformProduction
An enterprise canvas-first design platform (React 19, Vite, Tailwind, Supabase) that lets non-technical users design pixel-perfect, brand-compliant assets. Features LLM brief-to-layout generation, voice-brief dictation with speech normalization, and a programmatic pre-flight auditor that blocks WCAG 2.1 AA and brand-compliance failures before export.
Business impactLets marketing, HR, and non-designers produce on-brand, accessibility-compliant assets in minutes instead of waiting days on design or agencies — removing a creative bottleneck while guaranteeing brand and WCAG compliance at the point of export.AI's roleAI converts a typed or spoken brief into a complete, editable layout, and normalizes messy voice input into clean, structured design instructions.
Input
Brief
Typed or voice (en-IN)
→
Gemma / Gemini
Parse + generate
Copy + layout from brief
→
Canvas
WYSIWYG edit
Drag · snap · rich text
→
Pre-flight
WCAG + brand
Blocks failures before export
→
Platform & adminSupabase realtime7-tab admin portalAuth + role permissionsTemplate gatesPaste-anything AI parserVoice: filler-strip · punctuation · de-dupReact 19 · Vite 6 · Tailwind 4
Highlighted = the AI step. AI drafts copy + layout; a programmatic gate enforces compliance; a realtime Supabase admin syncs settings, roles, and template permissions to every live session.
days → <10m
asset turnaround
WCAG 2.1 AA
programmatic compliance gate
Revenue Operations & Marketing Intelligence
Cross-Platform Analytics Synthesis EngineActive Pilot
Consolidates and normalizes performance data from five streams — HubSpot, GA4, Search Console, Semrush, ZoomInfo — then passes aligned datasets to an LLM reasoning engine that computes cross-platform cause-and-effect and writes plain-English executive optimization reports.
Business impactGives leadership a single, plain-English read on what's actually driving performance across five platforms in 30 minutes instead of three days — turning scattered, siloed data into faster, better-informed decisions.AI's roleAn LLM reasoning layer correlates the aligned datasets, infers cross-platform cause-and-effect, and drafts the plain-English executive analysis analysts used to write by hand.
HubSpotGA4Search ConsoleSemrushZoomInfo
→
Normalize
Schema mapping
Align keys · timestamps
→
Claude / Gemini
Correlate
Cross-platform cause & effect
→
Output
Exec report
Zero-bias, plain-English
ScaleMulti-tenant API ingestionMillions of data points / moPreemptive revenue alerts
Highlighted = the AI step. Five platforms fan in and are aligned to unified keys, then AI reasons across them — e.g. tracing a conversion drop to a CTR decline to a keyword loss.
24 hrs
analyst time saved / month
Offline-to-Digital Attribution
Intelligent QR Attribution EcosystemProduction
Bridges physical media and digital touchpoints. A custom redirection gateway captures scan telemetry — device, geolocation, timestamp — before forwarding, with a full-stack admin dashboard for generating and cataloguing codes and engagement heatmapping that turns offline placement from guesswork into data.
Business impactTurns offline placements — events, print, packaging — from guesswork into measurable ROI, so marketing spend can be attributed to real engagement and reallocated to what actually works, closing the gap between physical campaigns and digital analytics.AI's roleBuild-time: generative AI was the full-stack engineering partner, building the entire system — redirect gateway, telemetry, and admin panel — in roughly 80% less time (shipped in 7 days). The live attribution tracking itself runs on deterministic logic.
Offline
Physical scan
Posters · banners · office
→
Gateway
Redirect gateway
Custom high-speed router
→
Log
Telemetry server
Device · IP · geo · time
→
Forward
Instant redirect
→ LinkedIn / YouTube
Admin & analyticsFull-stack QR admin dashboardGenerate · catalog · map codesEngagement heatmapping
AI-accelerated build. GenAI engineered the whole stack — gateway, telemetry, and admin panel — in ~7 days (≈80% less build time). The runtime attribution logic is deterministic.
7 days
full-stack build — ~80% faster
~100%
of tracked scans attributed
Front-End Engineering & Lifecycle Velocity
Rapid Modular Event-Site FrameworkProduction
Re-engineers how event microsites are built: generative AI acts as full-stack engineer and QA assistant to deploy optimized, secure, 30-page platforms in a week — modular decoupled components, automated debugging loops, Core Web Vitals refactoring, and auto-injected technical SEO and JSON-LD schema.
Business impactCompresses event-microsite delivery from eight weeks to one and cuts ongoing maintenance by ~80% — so campaigns launch on time with far less engineering drag, at enterprise quality, security, and SEO standards.AI's roleGenerative AI acts as full-stack engineer and QA assistant — generating modular components, running automated debugging loops, and auto-injecting technical SEO and JSON-LD schema.
Input
Event brief
Theme · audience · product
→
GenAI
Build + QA ↺
Generates code, auto-debugs
→
Optimize
Vitals + SEO
CWV · JSON-LD · OG tags
→
Ship
Deploy
30-page site / 1 week
ArchitectureModular decoupled components1 edit → all 30 pagesFCP < 3s
Highlighted = the AI step. GenAI acts as full-stack engineer + QA — generating modular code, looping through automated debugging, then injecting performance and SEO/schema before deploy.
8w → 1w
build cycle (~87% faster)
80%
maintenance overhead reduction
Brand Governance & Internal Communications
Brand Guard & Self-Service Announcement EngineIn Development
Scales the automation frameworks to internal communications and brand governance: an AI visual auditor that crawls digital assets to flag off-brand colors, fonts, and logos before deployment, plus a drag-and-drop self-service editor with 15+ brand-compliant templates so non-designers can ship professional communications in minutes.
Business impactWill let any employee ship professional, on-brand internal communications without a designer, while an AI auditor catches off-brand assets before they go out — protecting brand integrity and removing design-team bottlenecks across the organization.AI's roleAn AI visual auditor crawls digital assets and automatically flags off-brand colors, fonts, and logos before they are published.
Self-serve
HR canvas editor
15+ templates, drag-drop
→
Lock
Brand tokens
Fonts · margins · colors
→
Brand Guard AI
Visual crawler
Flags off-brand assets
→
Ship
Export .png/.jpg
On-brand, no designer
In planning · H2 202612 enterprise categoriesGlobal footprint crawlAutomated flag log
Highlighted = the AI step. Two sub-systems: a self-service HR editor with locked brand tokens, plus an AI visual auditor that crawls the digital footprint and flags off-brand assets before publish.
15+
brand-compliant templates
