AI Voice Outreach Campaign
Executed a comprehensive AI-powered voice outreach campaign leveraging Twilio's VoIP infrastructure, Synthflow.ai for orchestration, and ElevenLabs' realistic voice synthesis. The system conducted automated cold outreach to 100 leads, achieving a successful 1% conversion rate with one qualified lead response.
The system featured voicemail detection capabilities, automated voicemail message delivery, and seamless Calendly integration for call scheduling. The AI bot used conversation flow prompts and leverages Openai 4o-mini natural language processing to handle various response scenarios during live conversations.
My Role
Managed the complete end-to-end implementation including phone number setup and provisioning, voice tuning and optimization with ElevenLabs, comprehensive prompt and script writing for various conversation scenarios, campaign execution and monitoring, and detailed performance evaluation and analysis. Configured all technical integrations between Twilio, Synthflow.ai, and Calendly platforms.
AI Knowledge Assistant
Developed an intelligent AI knowledge assistant leveraging OpenAI's Assistants API with advanced Retrieval-Augmented Generation (RAG) capabilities. This system utilizes OpenAI's vector database for fast embeddings and retrievals, ensuring optimal performance and contextual understanding.
The bot is written in Python and hosted on a small Linux host in AWS, providing seamless access to company knowledge bases through intuitive Slack integration. Any user can update the RAG vector database by simply uploading new files over Slack, which are automatically processed and indexed. I'm currently implementing MCP servers to expand the bot's utility and capabilities.
My Role
Architected the entire system from conception to deployment, designing the RAG pipeline using OpenAI's Assistants API, implementing the Slack bot interface, configuring AWS hosting infrastructure, and developing automated document processing workflows. I maintain and optimize the system for production use.
Audit Back-Office Application
Built a comprehensive audit back-office application that boosts productivity through streamlined processes. The system centralizes entity management, client relations and the audit process while integrating AI tools for intelligent data analysis and risk assessment.
The application features automated workflow orchestration, AI mapping and scoping, materiality calculations, data validation and more. The system is built on a microservices architecture, ensuring scalability and flexibility.
My Role
Led the complete development lifecycle including requirements analysis, system architecture design, database schema optimization with PostgreSQL, frontend interface development with TailwindCSS and AlpineJS, and AI model integration. I manage ongoing maintenance, feature enhancements, and system performance.
AI WordPress Content Writer
Created an AI powered WordPress plugin content writer that automatically generates fresh, relevant content for websites by processing RSS feeds through Google Gemini AI. This system transforms raw feed data into engaging, SEO-optimized articles that maintain the site's unique voice and style automatically.
The plugin continuously monitors specified RSS sources, extracts key information, and leverages Google Gemini's advanced language capabilities to create comprehensive articles with proper formatting, metadata, and search optimization. Successfully deployed on HugeAI News, where it generates consistent, high-quality AI industry content.
My Role
Designed and developed the complete plugin architecture, including RSS feed parsing algorithms, Google Gemini API integration, WordPress hooks implementation, and content management workflows. Created the admin interface, scheduling systems, and content quality controls. I provide ongoing updates, security patches, and feature enhancements based on user feedback and platform requirements.
Data Integration Pipelines
Architected comprehensive automated data pipelines that seamlessly connect QuickBooks Online, various POS systems, and REST APIs, completely eliminating manual data gathering processes. This system provides real-time access to previously inaccessible historical data, enabling advanced analytics and business intelligence.
The infrastructure leverages N8N for workflow automation, AWS services for scalable data processing and storage, and custom Python scripts for complex data transformations. We use Selenium to collect authorization cookies and utilize them later with N8N for enhanced data access.
My Role
Conceptualized and built the entire data integration ecosystem from initial requirements gathering through full production deployment. Designed the data flow architecture, implemented API connections, configured AWS infrastructure, and developed monitoring systems. I continuously optimize performance, ensure data security compliance, and expand integration capabilities as business needs evolve.
Lead Data Enrichment
Built an automated lead enrichment system that transforms incomplete contact databases into comprehensive business intelligence resources. The application takes Google Sheets containing company names and locations, then systematically searches Google Maps to extract missing phone numbers and contact details.
Developed as a Python Flask web application with Selenium automation, the system handles large-scale data processing while managing rate limiting and anti-bot detection. The enriched data is automatically written back to Google Sheets, providing seamless integration with existing CRM workflows and sales processes.
My Role
Conceived and developed the entire system from initial concept through production deployment. Designed the web scraping algorithms, implemented the Flask web interface, configured Google Sheets API integration, built Selenium automation workflows, and deployed the application on AWS infrastructure. I handle all aspects of maintenance, optimization, and feature development.