Mahad Iqbal
Hi there! I’m Mahad Iqbal, a Data Scientist and AI Developer with a proven track record of delivering production-ready applications driven by data insights and machine learning.
About
Hi there! I’m Mahad Iqbal, a Data Scientist and AI Developer with a proven track record of delivering production-ready applications driven by data insights and machine learning. I enjoy building end-to-end data workflows—from ingestion and feature engineering in Python and SQL to crafting predictive models with Scikit-Learn, TensorFlow, and PyTorch, and surfacing insights with real-time dashboards (Tableau, Power BI).
As a seasoned team lead, I thrive at architecting and deploying full-stack AI solutions, have secured multiple first-place hackathon wins and national finalist selections, and love turning ambitious ideas into scalable, user-friendly systems. My recent work spans AI-powered dashboards, risk prediction, and automated hospital workflow improvements, and I’m passionate about mentoring teams to ship impactful products.
- Joined October 2025
Skills· 15
Languages
- EnglishFluent
- HindiFluent
Industry experience
- Software & Internet
- Healthcare
- Education
- Professional Services
- Media & Entertainment
Work experience
Developed real-time AI features for Maverick AI, including an AI-powered dashboard with AI insights, animated weather effects, and a chatbot powered by Gemini and Google AI Visual API. Built Maverick Bot as a Next.js-based AI chatbot app, integrated PDF-to-text parsing, and implemented real-time Gemini 2.0-like responses using Radix UI and Tailwind CSS. Gained hands-on experience with LLM integration, Generative AI deployment, and production-ready AI interfaces, and prepared the project for deployment on Google Cloud Platform.
Built sentiment analysis and text classification models using Transformer-based architectures; performed advanced text preprocessing, feature engineering, and model evaluation using libraries such as NLTK, scikit-learn, and Transformers. Gained experience with end-to-end data workflows and evaluating model performance for deployment-ready AI applications.
Education
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