You will get a streamlit dashboard based on your request.
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Project details
You’ll get a responsive and interactive Streamlit dashboard built with best practices. I combine clean UI, filterable charts, and GitHub integration to deliver a complete solution. With my background in data science and web apps, I focus on clarity, performance, and fast delivery. This project is ideal for showcasing your data, engaging users, or launching an MVP.
Data Tool
pandasWhat's included
| Service Tiers |
Starter
$100
|
Standard
$250
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 1 | 2 | 3 |
Source Code | - | - | - |
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SJ
Sam J.
Mar 17, 2026
Automation funnel for SEO
Mehmet had clear communciation and helped us every step of the way. Lovely person to work with and very knowledgeable. Will continue to work with and would recommend.
FA
Franco A.
Jul 2, 2024
Evaluating Custom GPT Project: Step 1
First time worked with Mehmet. He goes far and beyond to help you.
100% recommended.
100% recommended.
CN
Christopher N.
Jun 21, 2024
Custom GPT to interview, extract, and organize Expert Knowledge
AZ
Adam Z.
Jun 19, 2024
Custom GPT
Mehmet was efficient and delivered the work with accuracy. Very happy!
AL
Andrew L.
Apr 5, 2024
Course creator familiar with AI to write scripts and slides
A pleasure to deal with, responsive, hardworking and skilled. Thank you
About Mehmet Gencay
AI Agent Developer | AI Systems Architect | Claude Expert & OpenClaw
100%
Job Success
Mugla, Turkey - 2:39 pm local time
I build production AI systems that ship and stay live.
Over the past year, I transformed the operations of a 500K-user data science platform with AI agent products (using Google, OpenAI, and Claude).
I rebuilt the content production engine of a UK marketing consultancy with AI (Claude Code, Gemini, and web scrapers).
I shipped AI agent products for 16 European enterprise clients through a West European AI consultancy (OpenAI, Mistral, Gemini, and Microsoft Copilot).
𝐑𝐞𝐜𝐞𝐧𝐭 𝐰𝐢𝐧𝐬:
▣ 𝟓𝟎𝟎𝐊-𝐮𝐬𝐞𝐫 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦
- Transformed their content engine by replacing manual workflows with 18+ AI agent products, scaling content output 30x.
- Built their flagship AI agent product end-to-end with dual-provider routing and MCP-driven evaluation.
- Trained their internal team to ship AI prototypes independently via Claude Code.
▣ 𝐔𝐊 𝐦𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 𝐜𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐧𝐜𝐲
- Transformed their content production with 20+ AI agent products across 6 marketing channels, with brand-voice enforcement so output never sounds AI-generated.
- Replaced manual reporting with a live Meta Ads pipeline auto-shipping daily action plans to Drive at 9 AM.
- Surfaced the highest-converting patterns from their historical performance data.
▣ 𝐖𝐞𝐬𝐭 𝐄𝐮𝐫𝐨𝐩𝐞𝐚𝐧 𝐀𝐈 𝐜𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐧𝐜𝐲
- Shipped 20+ AI agent products across 16 enterprise clients in marketing, sales, finance, hospitality, and construction.
- Built webhook pipelines that trigger on event completion and write structured outputs to client systems, replacing chat-only deliverables with end-to-end automation.
- Survived three runtime migrations over 18 months with zero downtime.
▣ 𝐌𝐲 𝐨𝐰𝐧 𝐀𝐈 𝐞𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦
Built a 15K-subscriber Substack teaching AI agents and automation, scaled it to $40K ARR.
4x'd revenue in the last two months.
Write the builds, ship the skill files, and teach the same production patterns I run for clients.
▣ 𝐌𝐲 𝐨𝐰𝐧 𝐚𝐠𝐞𝐧𝐭 𝐢𝐧𝐟𝐫𝐚
Run Hermes, my custom agent framework, on a local Mac Mini, plus OpenClaw on AWS, always-on agents that run without me babysitting them.
Built an off-grid fallback on a local Gemma model, so the stack keeps running with no internet and no external API.
These are the same patterns I ship to clients, tested on my own infra first.
𝐒𝐭𝐚𝐜𝐤: Claude Code, Claude Skills, MCP, Vertex AI (Gemini 3 Pro),
OpenAI Agents SDK (GPT-5.2), n8n, Vercel, React, Python, Custom GPTs.
𝐇𝐨𝐰 𝐈 𝐰𝐨𝐫𝐤?
Async-first. Weekly sync if useful, no daily standups.
I document everything in Notion / CLAUDE.md so the system survives without me.
I'm selective about projects,
I take the ones where production AI can change throughput, not just add features.
If you're building an AI system that needs to actually run in production, let's talk.
Steps for completing your project
After purchasing the project, send requirements so Mehmet Gencay can start the project.
Delivery time starts when Mehmet Gencay receives requirements from you.
Mehmet Gencay works on your project following the steps below.
Revisions may occur after the delivery date.
Project planning and setup
We’ll finalize dashboard features, filters, data sources, and chart types. I’ll also review your GitHub or design files if available.
First version and feedback
I’ll build the initial Streamlit app and share the link for your feedback. Revisions will be made based on your suggestions.