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Saad Q. AI, Python and General Development

My name is Saad Q. and I have over 1 years of experience in the tech industry. I specialize in the following technologies: Generative AI, Natural Language Processing, Chatbot Development, AI Chatbot, Machine Learning, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I’ve worked on include: AI Agent and Automation, AI Automation n8n, AI Voice Assistant, EKHO — AI Voice Enable Sale's Chatbot, AI Bots, etc.. I am based in Jackson Heights, United States. I've successfully completed 6 projects while developing at Softaims.

I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.

I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.

I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.

Main technologies

  • AI, Python and General Development

    1 year

  • Generative AI

    1 Year

  • Natural Language Processing

    1 Year

  • Chatbot Development

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

Google

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Experience Highlights

AI Agent and Automation

We created an AI-driven workflow where an AI Agent, configured as a Tools Agent, handles incoming chat messages using integrated components. The architecture connects a trigger to the AI Agent, which is powered by the OpenAI Chat Model for natural language understanding, Simple Memory for conversational context retention, and external tool integration via SerpAPI for real-time web search capabilities. The modular design ensures the agent can respond intelligently and contextually while using external tools to enhance its capabilities.

AI Automation n8n

We built an automated web scraping workflow that extracts data from a website, processes it, and exports the results to both Google Sheets and Microsoft Excel, while also sending the data as a CSV via email. The flow begins by fetching HTML content from a target website, parsing book data and prices, sorting by price, and converting the results into a structured CSV file. The pipeline integrates with Microsoft Excel 365 using Graph API credentials and with Google Sheets and Gmail using Google Cloud APIs. Key automation steps include HTML parsing, sorting, and multi-platform data export.

AI Voice Assistant

Docify is an advanced AI-powered Doctor Voice Assistant designed to revolutionize patient interactions in healthcare. This solution provides real-time speech processing and AI-driven natural language understanding to facilitate seamless, automated communication between patients and healthcare providers. Docify offers a unique combination of speech recognition, conversational AI, and voice response capabilities, making it an essential tool for enhancing patient engagement and streamlining healthcare workflows.

EKHO — AI Voice Enable Sale's Chatbot

The Ekho platform is an advanced AI-powered platform designed to train sales agents through interactive voice-based conversations. Developed using Python and Large Language Models (LLMs), the AI agent simulates real-world sales scenarios, enabling agents to practice and hone their communication skills in a controlled environment. The platform utilizes voice-to-voice prompts to create a highly engaging training experience, making it an effective tool for companies aiming to improve their sales team's performance.

AI Bots

We've established an agile process for our software development cycle, starting with gathering system requirements from the client. These requirements are broken down into smaller tasks to create Proof of Concepts (POCs) and working prototypes. Task management is handled using JIRA, where developers take on coding and initial testing before passing tasks to QA. Client feedback on prototypes is crucial, leading to continuous improvements.

Education

  • University of Bradford

    Bachelor of Engineering (BEng) in Software Engineering

    2010-01-01-2014-01-01

Languages

  • English

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