I build operational AI systems —
backends, orchestration workflows,
and analytics infrastructure.
AI systems engineering end to end — FastAPI backends, Azure OpenAI integrations, escalation routing, custom AI analytics, and automation pipelines deployed on Azure. Based in Palm Desert, CA.
Current Project
Desert Glow — Live AI Business Operating System
A fully deployed AI business operating system built end to end on Azure — AI concierge with escalation scoring, FastAPI backend, PostgreSQL, custom analytics platform with embedded AI agent, attribution infrastructure, and automation pipelines. Live in production.
Inconsistent customer acquisition across fragmented marketing channels
Businesses invest across Meta, Instagram, TikTok, Google Ads, Groupon, SEO, and referral campaigns with no centralized intelligence layer. There is no clarity on which channels generate qualified leads, which campaigns convert, which audiences are profitable, or where revenue actually originates. Marketing budgets grow without growing results.
AI-powered campaign intelligence layer continuously monitors every acquisition channel — tracking lead quality by source, measuring booking conversion rates, identifying high-performing campaigns, surfacing profitable audiences, and recommending real-time optimizations across the entire marketing stack.
Consistent inbound demand, real-time channel ROI visibility, and data-driven acquisition replacing disconnected marketing guesswork.
Captured demand leaks before it can convert
Every missed call is a captured lead — demand your marketing budget worked to generate — that immediately starts evaluating competitors. Busy periods, after-hours windows, and response delays create systematic revenue leakage that compounds silently across every growth channel.
Automated demand-capture recovery detects every missed call and delayed inquiry, fires AI-qualified SMS outreach within seconds, and routes high-intent prospects through intelligent follow-up sequences before they convert elsewhere.
Recovered revenue from captured demand that would otherwise convert into competitor bookings.
No visibility into which campaigns actually drive revenue
Most businesses run Meta, TikTok, Google Ads, Groupon, and SEO campaigns with no unified attribution. Spend increases without insight into which channels drive profitable bookings, which audiences convert, or where budget is leaking into low-margin acquisition.
Unified revenue attribution layer connects ad spend, lead source, appointment bookings, and revenue into one AI intelligence system — identifying profitable channels, underperforming campaigns, and real-time optimization opportunities across every acquisition source.
Clear campaign ROI, profitable channel identification, and real-time spend optimization replacing disconnected marketing spend.
Growth workflows operate manually and do not scale
Staff spend time on repetitive, high-volume tasks — follow-ups, appointment reminders, re-engagement messaging, content publishing — that limit growth capacity and create inconsistent customer experiences at scale.
AI workflow automation handles lead qualification, appointment reminders, post-visit retention messaging, re-engagement sequences, and escalation pipelines — operating continuously without manual intervention across every customer touchpoint.
Scalable growth operations with staff focused on high-value revenue interactions instead of repetitive manual tasks.
Owners operate without live growth intelligence
Growth decisions get made from delayed reports, disconnected systems, and incomplete data — with no live view of which campaigns are performing, where demand is leaking, what customer acquisition actually costs, or what is driving revenue today.
Live revenue intelligence dashboards surface campaign ROI, lead quality by acquisition source, booking conversion trends, customer acquisition costs, response speed metrics, and operational performance — continuously, across every channel and customer touchpoint.
Real-time growth visibility — faster decisions, clearer campaign trends, and continuous revenue optimization replacing delayed guesswork.
AI Analytics Dashboard
Operational Intelligence — Not Just Reporting
13 interactive dashboard pages built as a custom React analytics platform — plus a floating AI Analytics Agent that lets the business owner ask natural-language questions directly against their own data. Customer interactions, bookings, escalations, reviews, AI conversations, SEO performance, and AI search visibility. All measurable. All live. Ask: “Which leads need follow-up today?” and get a grounded answer.
Ask questions directly against your business data. No SQL. No BI training required.
- Answer natural-language questions about any KPI or metric
- Identify leads that need immediate action
- Explain charts and help you interpret the numbers
- Recommend campaign and service optimizations
- Summarize sentiment trends and flag reputation risks
- Guide you through dashboard pages and filters
- Generate executive summaries on demand
- Report SEO rankings and AI search visibility
- Warn on escalations, no-shows, and abandoned leads
This is not a chatbot. This is not a website. This is the full operational intelligence layer of an AI-powered business — customer acquisition, conversion monitoring, escalation operations, revenue visibility, NLP sentiment intelligence, SEO performance, AI search discoverability, and a natural-language AI Analytics Agent grounded in the business’s own data. All measured. All live. All custom-built on Azure.
System Walkthroughs
See the Systems in Action
Narrated walkthroughs, AI concierge demos, and architecture breakdowns — produced with ElevenLabs AI narration and CapCut editing.
Full architecture walkthrough — AI concierge, FastAPI backend, analytics platform end to end
Real-time AI conversation handling, intent scoring, and escalation routing in production
Navigating the 13-page analytics platform and asking natural-language questions with Dashboard Copilot
How ads connect to AI concierge, lead capture, and revenue tracking in a closed loop
Social Advertising
Traffic → AI System → Measurable Revenue
Social advertising campaigns connected to the AI concierge, attribution tracking, and revenue intelligence — closing the loop from ad impression to booked appointment to measured ROI.
We don’t just build dashboards. We build systems that generate measurable business growth.
Interested in operational AI infrastructure?
Let’s talk about backends, orchestration, analytics, and what I’m building.
Let’s Talk ↗What I Build
AI Systems That Drive Business Outcomes
From AI concierge systems and lead intelligence pipelines to executive dashboards and automation workflows — operational AI built end to end, deployed on Azure, designed around revenue impact and measurable growth.
Conversational AI handling inbound leads 24/7 — qualifying intent, scoring priority, routing escalations, and capturing demand before it converts elsewhere. Deployed on Azure OpenAI with FastAPI backend.
Unified attribution connecting ad spend to lead quality, booking conversions, and revenue — across Meta, Google, TikTok, Groupon, SEO, and referral in real time.
Real-time intent classification, lead scoring, and buying signal detection — turning inbound engagement into booked appointments and tracked revenue with zero manual triage.
Automated recovery detecting unanswered calls and delayed responses — firing AI-qualified outreach within seconds and routing high-intent prospects before they convert to competitors.
AI-assisted content generation for Instagram, TikTok, Facebook, and Google — drafting captions, ad copy, and retention messaging with automated campaign scheduling and distribution pipelines.
Custom React analytics platform on FastAPI and PostgreSQL — 13 dashboard pages tracking lead volume, campaign ROI, booking rates, and operational performance. Embedded AI agent answers natural-language questions grounded in real data.
AI-triggered automation pipelines converting intelligence signals into growth actions — lead routing, appointment reminders, win-back campaigns, and re-engagement sequences operating continuously without manual intervention.
Post-treatment messaging, win-back sequences, seasonal campaign automation, and review generation workflows protecting lifetime customer value and reactivating dormant revenue pipelines.
Process
From strategy to deployment.
Funnel map audit
A discovery session mapping your full acquisition funnel — lead sources, channel performance, conversion gaps, automation opportunities, and revenue leaks across every customer touchpoint.
Proposal
A clear technical scope, implementation strategy, infrastructure plan, and timeline with fixed deliverables — aligned to specific revenue and growth outcomes.
Build & deployment
Systems are built, integrated, tested, and deployed with real operational functionality — demand generation, attribution, automation, and intelligence working end to end.
Optimization & monitoring
Ongoing campaign analytics, workflow optimization, and AI system improvements based on live acquisition data and revenue performance signals.
About
About Abdi Alamir
AI Engineer • Operational AI Systems • Backend Engineering • Analytics
I’m an AI engineer focused on building operational AI systems end to end — FastAPI backends, Azure OpenAI integrations, orchestration workflows, escalation routing, analytics pipelines, and automation infrastructure deployed on Azure.
My background started in analytics and data science, but my work evolved toward production-grade AI engineering — designing systems where AI handles the routing, qualification, and escalation logic while analytics pipelines provide the observability layer.
- FastAPI backend APIs
- Azure OpenAI integrations
- Orchestration workflows
- Escalation routing
- Analytics pipelines
- Custom AI analytics platforms
- Azure deployment
My flagship demo project, Desert Glow Lab, is a live AI systems environment built on Azure — AI concierge with escalation scoring, FastAPI backend with PostgreSQL, custom React analytics platform with embedded AI agent, and automation infrastructure. It serves as the functional proof system for this entire portfolio.
Ready to build AI systems that generate real business outcomes?
I design and deploy operational AI infrastructure that increases revenue, reduces costs, automates customer interactions, and delivers real-time growth intelligence — built end to end on Azure.