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Cover image for ๐Ÿšจ Still hiring people to
๐Ÿšจ Still hiring people to answer the same questions every day? Most businesses lose time and money on repetitive tasks: โŒ Answering routine calls โŒ Qualifying leads manually โŒ Booking appointments โŒ Following up with prospects โŒ Handling basic customer support As call volume grows, so do staffing costs, management overhead, and missed opportunities. โœ… AI Voice Agents solve this. They can: โ€ข Answer calls 24/7 โ€ข Qualify leads automatically โ€ข Book appointments in real time โ€ข Follow up with customers โ€ข Update your CRM โ€ข Handle support requests instantly No hold times. No missed calls. No additional headcount. The result? ๐Ÿ“ˆ Faster response times ๐Ÿ“ˆ Lower operational costs ๐Ÿ“ˆ Better customer experience ๐Ÿ“ˆ More qualified opportunities I specialize in building AI Voice Agents powered by OpenAI, Vapi, Retell, and n8n that automate sales, support, scheduling, and customer engagement workflows. Let your team focus on high-value work while AI handles the repetitive conversations.
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Cover image for Targeted B2B Lead Generation &
Targeted B2B Lead Generation & Strategic Data Management Project Overview: I was engaged by a private client to execute a high-precision B2B lead generation campaign coupled with comprehensive data organization. The goal was to identify high-intent prospects and build a structured database that would serve as the backbone for the clientโ€™s outreach and sales strategy. The Challenges: Lead Quality: The client required specific, verified leads that met strict industry criteria to minimize bounce rates. Information Overload: Raw data was coming in from multiple sources and needed to be unified into a single, actionable format. My Solution & Workflow: Custom Lead Mining: Used advanced search techniques and tools to extract verified B2B leads, focusing on key decision-makers. Data Verification & Cleaning: Manually validated each lead to ensure 100% accuracy of contact information and company details. Dynamic Database Creation: Developed a structured Google Sheets/CRM environment where leads were categorized by industry, location, and potential value. Process Automation: Set up a streamlined workflow for the client to easily import these leads into their email marketing software. The Results: High-Conversion Lead List: Delivered a robust database of verified leads that significantly improved the clientโ€™s campaign response rate. Operational Clarity: Provided a clean, organized system that eliminated data silos and allowed for better sales tracking. Client Retention: Successfully met all project milestones, leading to an ongoing professional relationship outside of standard platforms.
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Cover image for AI Outreach Engine: Personalized Cold
AI Outreach Engine: Personalized Cold Emailing ๐ŸŽฏ Built an intelligent lead qualification and CRM ingestion engine that automatically scores inbound data using AI, eliminating manual data entry for sales operations. ๐Ÿ›‘ The Challenge Sales teams waste hours sorting through low-quality form submissions and manually copying data into their CRM. Without instant data enrichment and lead scoring, high-value prospects wait too long for a response, directly hurting conversion rates and lowering pipeline efficiency. โš™๏ธ The Solution I engineered an automated lead-triage middleware pipeline using Make to completely bridge the gap between user intent and sales execution. The moment a prospect submits a Google Form, the system captures the webhook payload and writes the record to a Google Sheets database. The system then invokes OpenAI via API to parse, evaluate, and score the lead against specific ideal customer criteria. High-intent leads are dynamically fast-tracked directly into HubSpot CRM as structured contacts with AI-generated notes. Key Technical Infrastructure Built: Instant Form Webhook Processing: Captures incoming lead payloads with zero lag or data drops. Algorithmic AI Lead Scoring: Configured semantic context prompts inside OpenAI to evaluate lead potential and output an objective numerical priority tier. HubSpot CRM API Sync: Built custom mapping architecture to safely create contacts, assign deal stages, and map fields without creating duplicates. Two-Way Database Lifecycle Logging: Updates the core Google Sheet in real-time with automated timestamps, processing states, and specific AI-generated qualification summaries. ๐Ÿ“ˆ Business Impact & Results 100% Manual Data Elimination: Completely removes manual contact creation and copying friction for sales reps. Instant Priority Mapping: Sales pipelines are instantly sorted by AI, allowing teams to call high-intent "hot leads" within seconds. Flawless Data Continuity: Centralizes clean operational data across internal spreadsheets and CRM pipelines automatically. ๐Ÿ› ๏ธ Tech Stack Used Automation Hub: Make Inbound Capture: Google Forms AI Logic Engine: OpenAI API CRM Platform: HubSpot Operational Database: Google Sheets
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Cover image for // I engineered a custom
// I engineered a custom B2B lead generation pipeline to automate the identification and structured data collection of high-value prospects on professional networking platforms. Targeted Intelligence: Built a custom scraping engine to filter and identify prospects based on specific job titles, industries, and company sizes, ensuring only high-quality leads enter the pipeline. Automated Data Aggregation: Designed a systematic workflow to extract and export clean, formatted contact lists directly into Excel/Google Sheets, ready for immediate sales outreach. Human-like Interaction: Implemented randomized session intervals and navigation patterns to maintain account safety and ensure full platform compliance. Workflow Efficiency: Reduced manual research and data entry time by over 80%, allowing sales teams to focus entirely on closing deals rather than prospecting. Outcome: This solution provides a scalable, automated engine for consistent lead growth, enabling businesses to fill their sales funnel with verified, targeted professionals on autopilot.
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