• 👋 Hi, I’m @huzaifazahoor
• 👀 I’m interested in Data Engineering and AI-powered financial tools.
• 🌱 I recently founded Meyka, an AI-powered stock research assistant and we are raising funds as well. You can see our pitch deck at https://meyka.com/pitch-deck/
• 💞️ I’m looking to collaborate on Python-related libraries, AI projects, and data engineering solutions.
• 📫 You can reach me on LinkedIn.
• 📝 Check out my technical writing on Medium for articles related to data engineering, AI, and other technical topics.
• 🦖 I'm currently working as the Technical Co-Founder of Meyka and open to collaborations and new opportunities.

I'm a Software & Data Engineer and the founder of Meyka, an AI-powered stock research assistant that helps investors make informed decisions. With a strong background in Python, cloud technologies, and data engineering, I have led the development of innovative financial tools and solutions. My expertise includes building data pipelines, optimizing processes, and developing web applications using frameworks like Django and React. Through Meyka, I aim to revolutionize the way investors interact with stock market data, providing real-time analysis and insights.

• Python
• Django
• React JS
• Langchain
• Flask
• Bootstrap
• Apache Airflow
• Data Modeling
• Data Pipelines
• SQL
• ETL
• Big Data Technologies
• Cloud Platforms (AWS & GCP)

Here are a few notable projects I've worked on:

1. Meyka - AI-powered Stock Research Assistant: Founded and built an AI-powered stock research assistant using ChatGPT API for major international markets.

   • Led a team of 8 people, including developers and marketers.
   • Managed cloud services on GCP with 0% downtime with cost-effective solutions.
   • Created tools like stock screeners and stock price forecasting for 2000 monthly traffic.
   • Focused on accuracy and performance based on user feedback.

2. Real-time Stock Market WhatsApp Chatbot: Developed a chatbot for the Saudi Exchange using OpenAI's GPT API with 100% uptime on the cloud.

   • Implemented real-time stock market updates and analysis.

3. Automated ETL Pipeline: Architected a scalable data pipeline on AWS Glue with Python.

   • Automated data extraction, transformation, and loading processes from multiple sources.

4. Video Transcription Bot: Automated transcription of 5TB of video courses into text using Deepgram API and uploading transcripts into Google Sheets.

   • Facilitated easy access to educational content.

Feel free to explore my GitHub repositories for more projects and code samples.

If you have any questions, collaboration proposals, or job opportunities, please don't hesitate to reach out to me on LinkedIn. I'm open to remote Data Engineering roles and excited to tackle new challenges in the field.