AI Agent & SaaS Engineer for Product Teams
AI Agent & SaaS Engineer for Product Teams
AI Automation & SaaS Systems Engineer
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AI Automation & SaaS Systems Engineer
Software Development Expert, 13+ yrs exp
Software Development Expert, 13+ yrs exp
Delivering Exceptional UI
When Google deprecated the Cookbook feature on Nest Hub, I was frustrated — I'd invested in several for my kitchen based on the promise of voice-guided recipes. So, I built RecipeCast — a browser-based app that lets you cast any recipe to your Nest Hub, Chromecast, or smart TV.
✅ Cast any recipe from your phone or laptop
✅ Simple interface designed for cooks
✅ Free for 3 RecipeCasts, then $5/month unlimited
Planned features:
🗣️ Voice navigation while cooking
🖱️ Chrome extension for 1-click RecipeCasts
➕ Add your own recipes
🔗 Try it free, no cc needed: https://recipecast.app
(https://recipecast.app)🎥 Demo: Watch on YouTube (https://www.youtube.com/watch?v=jL_aHcyLy7Q)
🛠 Tools Used:
- Figma (for wireframes & design planning)
- Google Cast SDK
- OpenSaaS
- Wasp
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Crafting Your Digital Presence 💻 😄
Creative Developer + Web Designer
In celebration of today's World Cup Final, I built The Immortals — an interactive journey through every FIFA World Cup from 1930 to 2022.
Explore every tournament, every champion, iconic finals, unforgettable moments, legendary players, and the stories that shaped football's greatest competition.
https://theimmortals.world/
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Custom Agentic AI System for Lead Qualification & Sales
Custom Agentic AI System for Lead Qualification & Sales
Built an automotive demo for YUKTAAI — an AI Vehicle Advisor for used-car marketplaces.
The demo shows how a shopper can go from:
“I’m looking for a used car”
to a confident vehicle decision through smart qualification, relevant car recommendations, vehicle-history signals, comparison support, and dealer lead capture.
Instead of just showing hundreds of listings, YUKTAAI helps shoppers understand which vehicle fits their needs, which one they can trust, and what the next best step should be.
From browsing to buying confidence.
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Agentic AI Conversational Layer for Real Estate and Property Booking Websites.
Visitor → Qualified → Lead Generated → Site visit booked.
That's the whole product, and this video is the proof — including full Arabic conversation and live calendar booking.
Your ad spend brings the buyers. YUKTAAI makes sure they don't leave unqualified.
yuktaai.com (http://yuktaai.com)
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The 6 Stages of the Digital Property Buyer
And where real estate companies lose them.
A property buyer rarely goes from seeing an ad → visiting a website → submitting an enquiry → buying.
The journey is far more complex.
For our latest YUKTAAI Research, we analyzed and synthesized findings across 29 industry reports, studies and research sources covering digital buying behaviour, UX, conversion psychology and real estate buyer behaviour.
The research draws on work from organizations including Baymard Institute, Microsoft, Nielsen Norman Group, CXL and the National Association of REALTORS® (NAR).
What emerged was a clear 6-stage digital property journey:
Awareness → Search → Evaluation → Inquiry → Verification → Closing
And buyers can disappear at every stage.
Outdated pricing during search.
Hidden fees or unclear payment plans during evaluation.
Long forms and gated information when they're ready to enquire.
Slow responses after they've already shown intent.
The interesting part?
The problem isn't always generating more traffic.
Sometimes the buyer is already on the website.
The real problem is helping them move confidently from one decision to the next.
We mapped the full journey and the major friction points below. Want the deeper research behind this framework? Reach out to YUKTAAI.
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Over 175 million people message businesses on WhatsApp every day.
For real estate, that's where many buying conversations begin.
Yet most developers still treat WhatsApp as a simple inbox.
We think it should be an AI-powered sales experience.
In this demo, YUKTAAI acts as an Agentic AI for a real estate developer:
• Understands buyer intent
• Qualifies the prospect naturally
• Recommends relevant properties
• Answers project and payment plan questions
• Captures the lead at the right moment
Not a chatbot.
An AI employee designed to guide buyers from their first message to a qualified sales opportunity.
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Avid Software Engineer, Data Engineer and Technical Writer
Data, AI, Software, Technical Writing
𝗬𝗢𝗨𝗥 𝗦𝗔𝗟𝗘𝗦 𝗗𝗔𝗧𝗔 𝗔𝗟𝗥𝗘𝗔𝗗𝗬 𝗞𝗡𝗢𝗪𝗦 𝗪𝗛𝗜𝗖𝗛 𝗖𝗨𝗦𝗧𝗢𝗠𝗘𝗥𝗦 𝗔𝗥𝗘 𝗔𝗕𝗢𝗨𝗧 𝗧𝗢 𝗟𝗘𝗔𝗩𝗘.
Most owners check that money came in. Few ask what the numbers say about next month.
I ran a 90-day Dead Stock Check on Horti Supplies data (about $14,500 in sales).
In plain sight:
👤 𝟲 𝗼𝗳 𝘁𝗵𝗲 𝘁𝗼𝗽 𝟮𝟱 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿𝘀 𝗾𝘂𝗶𝗲𝘁𝗹𝘆 𝘀𝘁𝗼𝗽𝗽𝗲𝗱 𝗯𝘂𝘆𝗶𝗻𝗴: about $550 a month walking away.
$𝟵𝟰𝟬 𝘀𝘁𝘂𝗰𝗸 𝗼𝗻 𝘁𝗵𝗲 𝘀𝗵𝗲𝗹𝗳 - 8 products unsold for 30 to 83 days made 2.4% of sales but held 22% of stock value.
📉 𝗧𝗵𝗲 𝟯𝗿𝗱 𝗯𝗲𝘀𝘁-𝘀𝗲𝗹𝗹𝗶𝗻𝗴 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗿𝗮𝗻𝗸𝗲𝗱 𝟮𝟭𝘀𝘁 𝗳𝗼𝗿 𝗽𝗿𝗼𝗳𝗶𝘁.
🕑 𝗧𝗵𝗿𝗲𝗲 𝘀𝗹𝗼𝘄 𝗮𝗳𝘁𝗲𝗿𝗻𝗼𝗼𝗻 𝗵𝗼𝘂𝗿𝘀 - brought in 7% of sales; rent and staff costs didn’t drop.
𝗧𝗿𝘆 𝘁𝗵𝗶𝘀 𝘁𝗼𝗱𝗮𝘆 (𝟭𝟬 𝗺𝗶𝗻𝘂𝘁𝗲𝘀, 𝗻𝗼 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲): export last month’s sales, sort by profit, and circle anything that earned almost nothing but took up shelf space.
𝗧𝘄𝗼 𝘄𝗮𝘆𝘀 𝗜 𝗰𝗮𝗻 𝗵𝗲𝗹𝗽:
1️⃣ 𝗧𝗵𝗲 𝗗𝗲𝗮𝗱 𝗦𝘁𝗼𝗰𝗸 𝗖𝗵𝗲𝗰𝗸: send one month of sales data (names removed is fine) and get a one-page report on where cash is stuck, which customers are drifting, and 3 actions for this week. 🎁 The first 10 get it free, in return for sharing the anonymised result as a case study.
2️⃣ 𝗖𝗼𝗺𝗶𝗻𝗴 𝘀𝗼𝗼𝗻, 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝗟𝗼𝗼𝗽: upload a CSV or SQL export and get a named diagnosis (Customer Churn, Dead Stock, Demand Forecast) plus a visual report.
𝗖𝗼𝗺𝗺𝗲𝗻𝘁 “𝗖𝗛𝗘𝗖𝗞” 𝗳𝗼𝗿 𝗮 𝗳𝗿𝗲𝗲 𝗗𝗲𝗮𝗱 𝗦𝘁𝗼𝗰𝗸 𝗖𝗵𝗲𝗰𝗸, 𝗼𝗿 “𝗟𝗢𝗢𝗣” 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝗟𝗼𝗼𝗽 𝘄𝗮𝗶𝘁𝗹𝗶𝘀𝘁.
I’m Moses, a data engineer and founder of Closertune. Do you know an owner who says, “Sales are slow, but I don’t know why”?
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I recently built an interactive Power BI sales dashboard tracking $17.91M in total sales across supervisors, managers, and order years.
I then designed the data model and DAX measures behind the KPI cards, gauge, and trend visuals, and built drill-down views: sales by supervisor and year, quantity split by manager, and order volume by year.
I used combo visuals (donut, gauge, bar, and line charts) on one page so stakeholders can get the full picture without switching reports.
I also focused on a clean, single-screen layout that non-technical stakeholders can read at a glance.
#Microsoft Power BI #Daxko Operations #Data Visualization #Data Modeling #Business Intelligence
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