Freelancers using Calendly in PakistanFreelancers using Calendly in Pakistan
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Umair Zulfiqar's avatar
Umair Zulfiqar
proPakistan
Product UI/UX Designer for SaaS & Startups
$25k+
Earned
10x
Hired
5.0
Rating
85
Followers
LOVABLE_EXPERT

Partner

Product UI/UX Designer for SaaS & Startups
Cover image for Website Design & Positioning for AI Construction Startup
Website Design & Positioning for AI Construction Startup
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0
Cover image for Mobile Wallet App Design
Mobile Wallet App Design
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40
Cover image for AI FinTech Agent - Product Design
AI FinTech Agent - Product Design
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71
Cover image for Exeos – Web3 DePIN App Design
Exeos – Web3 DePIN App Design
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76
Calendly(1)
Mirza Umer's avatar
Mirza Umer
Sialkot, Pakistan
AI Chatbot and Automation Expert
New to Contra
AI Chatbot and Automation Expert
Cover image for The private dental clinic was
The private dental clinic was experiencing a high volume of missed calls and delayed responses during peak hours. The front desk staff was overwhelmed with repetitive intake questions, leading to a bottleneck in lead qualification and a loss of potential bookings. The Tech Stack 1. Voiceflow (Conversational Logic). 2. Calendly API (Schedule Synchronization). 3. WhatsApp Business API (Deployment Channel). The Solution I engineered a conversational receptionist deployed directly via the WhatsApp Business API. The system utilizes Voiceflow to navigate patient intake, capturing essential data such as procedure type and insurance status. Once qualified, the agent queries the Calendly API to fetch real-time availability, allowing patients to select time slots and receive automated confirmations within the chat interface. The Business Impact The automated pipeline successfully handles 50 to 80 patient interactions daily with zero human intervention. By absorbing the entirety of routine scheduling, the system recovered approximately four hours of administrative time per day for the front desk staff, allowing them to focus strictly on in-clinic patient care.
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Cover image for Premier Dental's front desk was
Premier Dental's front desk was overwhelmed with repetitive appointment inquiries during peak hours. This volume caused excessive hold times, missed calls, and ultimately, lost booking opportunities. The staff needed a way to offload routine scheduling without sacrificing the natural, empathetic tone expected in healthcare. The Tech Stack 1. Vapi (Low-Latency Voice AI Infrastructure). 2. Custom LLM System Prompts (Conversational Logic). 3. REST API (Real-Time Calendar Synchronization). 4. Twilio (Telephony Integration). The Solution: I deployed an autonomous, low-latency AI voice agent named "Sarah" to handle inbound calls 24/7. Engineered on the Vapi platform, the agent answers calls instantly, greets patients naturally, and collects necessary intake details (name, preferred date, appointment type). Through REST API integrations, the system checks availability, confirms new bookings, and reschedules existing appointments in real time, while intelligently escalating complex edge cases to a human receptionist. The Business Impact: The voice agent successfully handled 1,240 inbound calls with an 87% resolution success rate and an average call duration of 2 minutes and 34 seconds. By eliminating front desk call overflow, the clinic ensured zero missed booking opportunities, allowing the human staff to focus exclusively on high-touch, in-person patient care.
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Cover image for The client was losing high-value
The client was losing high-value business leads due to delayed follow-ups and manual data entry across disconnected platforms (CRM, email, and advertising channels). The internal team was spending upwards of three hours a day manually copying lead data, resulting in data fragmentation and an average response time of over 12 hours. The Tech Stack 1. n8n (Advanced Workflow Orchestration). 2. Webhooks & REST APIs (Data Ingestion). 3. PostgreSQL / Airtable (Centralized Data Warehouse). 4. Slack API (Instant Internal Notifications). The Solution. I engineered an autonomous, multi-stage lead processing engine using n8n. The system captures inbound leads via instant webhooks from front-end marketing platforms, normalizes and enriches the data using secondary API lookups, and instantly populates the centralized data warehouse. Simultaneously, the workflow routes the lead based on custom logic (such as budget or region) and fires an immediate, structured notification to the sales team's Slack channel, allowing for a sub-5-minute response time. The Business Impact. The automated pipeline eliminated manual data entry, recovering roughly 15 hours of administrative time per week for the internal team. More importantly, reducing the lead response time from 12 hours down to under 5 minutes directly improved lead-to-opportunity conversion rates by over 30%.
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Cover image for The legal services firm required
The legal services firm required a highly secure, instantaneous method for employees to query a massive internal knowledge base of over 200 complex contracts and compliance documents. The existing manual search process was highly inefficient, taking employees an average of 15 minutes per query and creating significant operational bottlenecks. The Tech Stack 1. Python (Data Ingestion & Formatting). 2. LangChain (RAG Orchestration). 3. Pinecone (Vector Database). 4. OpenAI GPT-4 (Contextual Synthesis). 5. Streamlit (Custom Web Interface). The Solution I engineered a secure Retrieval-Augmented Generation (RAG) pipeline to automate document retrieval. The system ingests and chunks hundreds of legal documents, storing them in a Pinecone vector database. When an employee submits a query, the system retrieves the most relevant semantic chunks and uses GPT-4 to synthesize a coherent response. To ensure zero hallucinations regarding strict legal terminology, the retrieval pipeline is engineered to explicitly cite its sources (e.g., "According to NDA_Template.pdf, Page 4") for every generated answer. The Business Impact The chatbot successfully reduced the time employees spent searching for specific legal clauses from an average of 15 minutes per query down to mere seconds. This drastically improved team productivity, reduced billable hour bloat, and ensured absolute accuracy in document retrieval.
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Calendly(1)
Umair Yaqoob's avatar
Umair Yaqoob
Multan, Pakistan
I'm a freelancer and AI automation Expert
New to Contra
I'm a freelancer and AI automation Expert
Cover image for Built an AI legal intake
Built an AI legal intake assistant for a law firm using Voiceflow + Airtable. Automated 24/7 lead capture, reduced repetitive admin work, and saved the firm hours every week. Designed structured Employment Law conversations and dynamic lawyer carousels to improve client qualification and response speed. Looking to automate your intake process? Let’s build it. #AI #Automation #Chatbot #LegalTech #SmallBusiness #Voiceflow #Airtable #ClientExperience #BusinessAutomation #LeadGeneration #LegalIntake #LawFirmMarketing #AIForLawyers #ServiceBusinessAutomation #NoCodeDevelopment #NoCodeLowCode
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Cover image for Most AI assistants forget everything
Most AI assistants forget everything after a few messages, forcing users to repeat themselves and pay high API costs. My client faced this exact problem. I built a persistent AI memory platform that never forgets. Using ChromaDB for fast access and Qdrant for deep storage, it remembers every conversation, user preferences, and historical context across unlimited sessions — even after restarts. This system delivers near-perfect memory recall, instant context retrieval (<50ms), and up to 99% cost savings compared to traditional AI services. By intelligently injecting only relevant context, it saves hours of manual work and unnecessary compute. The platform is production-ready, Docker-deployable, and supports multi-model AI routing for efficiency and scale.
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Cover image for TikTok Content Automation: 40+ Hours
TikTok Content Automation: 40+ Hours Saved Monthly I built a complete automation system to generate and publish high-quality TikTok videos—eliminating the need for a manual content team. The Solution: 3 AI Workflows A-Roll: Scrapes trends (Apify), rewrites scripts (OpenAI), and generates talking-head videos (HeyGen/ElevenLabs). B-Roll: Converts AI ideas into 10-second clips via VEO3 and Fal.ai (http://Fal.ai). Merging: Combines micro-clips and voiceovers into cohesive videos via Wavespeed. Publishing: All workflows auto-upload directly to TikTok via Blotato. The Results: ✅ 40+ hours saved monthly. ✅ $1K–$2K/month reduction in labor costs. ✅ Daily output with zero bottlenecks. Tools: OpenAI, HeyGen, Fal.ai (http://Fal.ai), Blotato, n8n.
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Cover image for From Cost Center to Growth
From Cost Center to Growth Engine: The PlatePrestige Story Luxury brand PlatePrestige was drowning in repetitive queries like "Where is my order?" and "Can I return this?" To scale without hiring more agents, we built a Voiceflow assistant integrated with Shopify, Google Sheets, and Gmail. What it does: Instant Returns & Tracking: Checks policies and provides live carrier updates instantly. AI Personal Shopper: Filters 300+ products into curated recommendations with direct "Add to Cart" options. Automated Support: Logs complaints to Google Sheets and issues unique IDs for total transparency. The Results: ✅ 40+ hours saved weekly ✅ ~$4,500/month saved in costs ✅ Instant answers for customers ✅ Team freed to focus on growth Scaling isn't about more people; it’s about smarter systems that build trust and real business value.
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Calendly(1)