Freelance Conversational AI Developers
Freelance Conversational AI Developers
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Stuart Gardoll
pro
Sydney NSW, Australia
Full Stack AI App Engineer
$25k+
Earned
7x
Hired
4.7
Rating
29
Followers
Top
expert
+1
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Full Stack AI App Engineer
22
Excited to announce that I've updated my #ElevenLabs Conversational AI Library for #FlutterFlow to support the official elevenlabs_agents #Flutter SDK. The old version was a custom WebSocket implementation that worked but had limitations. The new version is significantly better: - WebRTC instead of WebSocket - Ultra-low latency audio streaming. The difference is noticeable. - Proper turn-taking - Client-side VAD with intelligent interruption handling. No more awkward overlaps. - Secure architecture - API keys stay server-side where they belong and includes a #BuildShip template to get your back-end authentication going quickly. - Cleaner integration - Official SDK, secure App State variables, simpler initialization. https://marketplace.flutterflow.io/item/rwPaVMENBqTorJiznewx
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If you build with FlutterFlow, you know the pain: custom code has to follow a rigid structure, limited data types, and a pile of restrictions that trip up even experienced Dart developers, let alone AI models. I got sick of babysitting LLM output to make it FlutterFlow-compliant, so I built Custom Code Connect. What it does: • Describe any custom widget, action, function, or class in plain English • Highly trained AI workflow generates FlutterFlow-compatible Dart code • Automated compatibility review with a score and actionable fix notes • One-click deployment to your FlutterFlow project — no copy-paste, no manual fixes Custom Code Connect enforces FF's constraints at every step of the pipeline. 📺 Full tutorial: https://www.youtube.com/watch?v=aFTUqLSkAGY 🔗 Try it free: https://customcode.connectio.com.au/
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Just shipped the most ridiculous thing i've built in a while. A focus timer that creates custom motivational songs about LITERALLY any goal you want to spend an hour on. Yes, really. AI has too much enthusiasm for mundane tasks and I'm here for it. Every 15 minutes you get a new banger. the results are slightly unhinged and always motivating. You'll find it at all good app retailers, especially Apple's App Store: https://testflight.apple.com/join/TB3PTdUu (https://testflight.apple.com/join/TB3PTdUu)and Google Play Store: https://play.google.com/store/apps/details?id=com.connectio.hourofpowe (https://play.google.com/store/apps/details?id=com.connectio.hourofpower)r
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Content creation is 20% creativity and 80% repetitive tasks that kill your soul. As a developer, I couldn't let that slide. In this video, I break down the framework and strategy behind 4 custom applications I built to streamline my workflow. https://youtu.be/7sRwfBJ4tEw
18
258
Conversational AI Developer
(1)
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Al Kaizar Sappayani
pro
Houston, USA
AI Engineer(AI Agents, LLM Apps, Chatbots, RAG)
New to Contra
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AI Engineer(AI Agents, LLM Apps, Chatbots, RAG)
19
Marketing Assistant Bot As part of my work in AI-driven automation, I built a Marketing Assistant Bot using Relevance AI to address a major challenge in customer engagement: inefficient lead handling and inconsistent follow-ups. Businesses often struggle with manually qualifying leads, responding to competitor comparisons, and guiding potential customers through the sales funnel. The lack of automation resulted in lost opportunities, delayed responses, and high drop-off rates. To solve this, I developed an assistant on Relevance AI
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AI Sales Agent Problem: Customers needed fast, accurate answers on courses/licensing/policies from a huge, changing catalog; support handled repetitive questions and compliance is state-specific. Solution: Built RUBI, an embedded RAG purchase advisor in using ETL + multimodal indexing and hybrid retrieval (metadata + vector + structured lookups) with cited, grounded answers, purchase flows, analytics, and tuning loops. Metrics: 695,042 conversations; 2.6 Qs/convo; feedback 6% up / 94% down; ~10s to first token, ~11s complete; KB >100k structured rows.
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AI Generated Data Analysis Problem: Weekly call-center ops data needed actionable synthesis; manual analysis was slow and inconsistent. Solution: Built an LLM data analysis agent: ingest call data, run NLP + aggregations, detect anomalies, and generate a weekly executive PDF with insights, metrics, and recommended actions Metrics Automated weekly PDF; similar setups cut analysis time ~90% and improved decision turnaround (one related client saw 17% revenue lift over 7 months) Tech: Python ETL, Pandas, NLP, GPT-4o, Airflow Result: Consistent reports that surface issues fast and drive quicker corrective action.
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AI - powered insurance Agent Problem: Prior auth was manual—staff reviewed patient docs to predict approvals, making the process slow and resource-heavy. Solution: Built a HIPAA-compliant AI auth system: extract clinical data (OCR + clinical NLP), form a structured EHR-like record, evaluate insurer rules, and generate approval suggestions; added voice input workflows via STT/TTS plus secure storage and audit logging. Metrics: Reduced turnaround time and improved SLA adherence (similar projects reached ~98%). Result: Automated major parts of auth decisioning while staying compliant and auditable. Skills: AI Speech-to-Text AI Agent Development AI Builder AI Audio Generation AI Security
20
178
Conversational AI Developer
(1)
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Ahmad Ullah
United Arab Emirates
Award-winner impact focused UI UX Designer | Product Design
5.0
Rating
6
Followers
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Award-winner impact focused UI UX Designer | Product Design
18
The 17 Sustainable Development Goals are essentially the world’s to-do list for 2030. I wanted to build an immersive interface that actually lets countries and governments interact with their progress. It’s built for deep dives where you can compare performance across borders, analyze raw data, and even use a policy sandbox to "dummy try" initiatives to see simulated results before they happen. 🚀 Honestly didn’t think I could cram all of this in, but Figmake helped me pull off features and intuitive experience. I managed to build an AI-driven story mode, conversational inputs, and :a unique custom circular filter. Started same day, around 200 regenerations, last minute submission; please accept! #FigmaMake #SDG #GlobalGoals #UIUX #DesignChallenge Figma Site - https://many-scarf-95159460.figma.site
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822
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Product Discovery Workshops for SaaS, CRMs, ERP and MVPs
0
11
0
Synavos Rebrand
0
5
0
Nitro League - Brand Identity, Website & Game Experience Design
0
8
Conversational AI Developer
(1)
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Daniel Flow
Lagos, Nigeria
⚡ I fix broken systems and make workflows unstoppable
31
Followers
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⚡ I fix broken systems and make workflows unstoppable
9
You don’t need more dashboards. You need clarity without chasing numbers. Most founders check: Stripe. CRM. Ads. Calendar. Messages. And still don’t know what actually matters today. That’s chaos, not control. I build a Founder Visibility Bot that: • Pulls key data into one daily summary • Sends it to Slack or WhatsApp • Shows what needs attention, nothing else Built in n8n + GoHighLevel. Zero noise. Just answers. If you’re running a business and flying blind… Comment “DASH” or message me and I’ll show you how this works.
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UGC content shouldn’t take weeks. It shouldn’t depend on chasing creators. It shouldn’t slow down your ad testing. So I built a UGC Content Automation workflow using Sora 2 AI. It generates:- • UGC-style video concepts • High-converting hooks • Ready-to-test creatives • Scalable variations for ads In this post, I’m showing the full workflow + the final output. This is what happens when creativity meets automation. If you run ads or scale brands, this isn’t optional anymore. It's leverage.
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Check out my LinkedIn portfolio: https://www.linkedin.com/in/daniel-oluwafikayomi-famuyiwa-268a2a3a6 The eighth niche in my automation series is Lawyers & Sales Teams. I built an Outbound AI Voice Call Agent that makes personalized calls to leads, schedules appointments, follows up automatically, and updates your CRM, ensuring no opportunity slips through while you focus on closing high-value deals. Comment “CALL AI” or send me a DM to see it in action.
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Check out my LinkedIn portfolio: https://www.linkedin.com/in/daniel-oluwafikayomi-famuyiwa-268a2a3a6 The seventh niche in my automation series is Barbershops & Restaurants. I built an AI Voice Call Agent System that answers calls 24/7, books appointments, confirms reservations, sends reminders, and captures customer info automatically, so you never miss a booking and focus entirely on serving clients. Comment “VOICE AI” or send me a DM to see it in action.
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70
Conversational AI Developer
(1)
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Alex Sammers
Helsinki, Finland
AI enthusiast in search of inspiration and creativity.
New to Contra
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AI enthusiast in search of inspiration and creativity.
20
🎙️ Voice Agent Demo for Agency Website (Personal Project) A live voice agent demo built for my agency website to showcase how AI voice assistants can handle real conversations, qualify intent, and respond naturally in real time. Voice agents are easy to demo badly and hard to demo well. This project was about moving beyond “AI talking” and toward something that actually feels usable for businesses exploring voice automation for sales, support, or intake. Quick Story: this was my first serious build on Replit. There were plenty of trial-and-error moments around setup, deployment, edge cases, and stability, but pushing through those challenges gave me a much better understanding of rapid prototyping, iteration, and shipping working AI demos end to end.
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📺 Telegram YouTube Watch Bot (Personal Project) TGYT-WatchBot is a Telegram bot that monitors YouTube channels and sends instant notifications to Telegram groups or chats when new videos are published. Instead of checking YouTube feeds manually, updates land exactly where communities already are.
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Skool Community Member Scraper (Personal Project) A fully automated scraper that extracts structured member data from Skool communities using their Next.js data layer and exports it cleanly to Google Sheets. Skool does not provide an official way to export community member data. This workflow allows creators, operators, and growth teams to: - Analyze member engagement and quality - Segment users by activity, role, or metadata - Build CRM, outreach, or analytics pipelines on top of real community data Instead of manual scraping or brittle scripts, this runs as a repeatable system.
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Recently wrapped a custom analytics dashboard for a client who needed a clearer view of marketing performance without juggling five different tools. The goal was simple: one place to understand spend, conversion rates, customer value, and channel performance in real time. Built this as a lightweight internal tool with a clean UI, focusing on clarity over complexity. No bloated features, just the metrics that actually drive decisions. This kind of work sits at the intersection of funnels, automation, and internal systems. Turning scattered data into something teams can actually use. If you’re building funnels or running paid traffic and feel blind between tools, this is usually where the biggest wins are.
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183
Conversational AI Developer
(1)
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Joven Garcia
Quezon City, Philippines
AI & Automation | n8n/Make/Zapier/Airtable/Notion | CRM SaaS
32
Followers
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AI & Automation | n8n/Make/Zapier/Airtable/Notion | CRM SaaS
0
OpenAI Conversational Bot for GoHighLevel
0
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0
LLM + RAG Chat with AlloyDB and Vertex AI
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2
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AI Platform for Real Estate Permit Data Extraction
1
0
1
AI Resume Screening Automation (n8n + Gemini)
1
1
Conversational AI Developer
(1)
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David Napadovskyy
Offenburg, Germany
Specialist for Voiceagents and Automations
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Specialist for Voiceagents and Automations
1
Voice Agent for Gym: Booking, Support & Automation
1
10
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Full Customer Support Automation for Game Studio
2
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AI Chatbot Integration for Startuprad.io
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Abhiram Tinguria
Nagpur, India
AI Agent Builder | SaaS Automation | Agent.so Expert
81
Followers
Expert
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AI Agent Builder | SaaS Automation | Agent.so Expert
1
Agent.so AI Widget Integration for SaaS Growth Website
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Built a modern AI automation landing experience for NeuroFlow AI. This concept shows how businesses can turn repetitive operations into autonomous AI systems that recover hours every month and streamline revenue workflows. Highlights: • AI workflow automation • Custom GPT assistants • CRM & revenue automation • 312+ hours recovered monthly Exploring how AI products and automation platforms can be presented with premium SaaS design and clear product storytelling. 🚀
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Built AI Assistant Hub — a production-grade AI chat application deployed on Replit. The project demonstrates how quickly you can build and ship AI-powered tools using Replit as the development and deployment environment. Key highlights: • Custom AI chat interface • Fast API backend architecture • Scalable deployment on Replit • Clean UI designed for productivity 🔗 Try the live app: https://ai-assistant-hub--abhiram678.replit.app/ Replit continues to be one of my favorite platforms for rapidly building and deploying AI applications.
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Production AI Chat Platform Built & Deployed on Replit Autoscale
1
0
Conversational AI Developer
(1)
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