Nauman Sabir

• Built a React app that generates platform-ready metadata (titles/descriptions, keywords, categories) for stock photo platforms using Google’s Gemini Multimodal AI. Supports batch image processing, platform specific validation (Shutterstock, Adobe Stock), CSV export, rate-limit handling, and a modern, responsive UI with dark mode.. • Designed and deployed AI-powered chatbots (internal/external) with a unified knowledge base, achieving 95% response accuracy and reducing average response time by 50%.

• Engineered an AI-driven transcription solution using Whisper and ChatGPT 3.5 Turbo to extract transcripts and summaries from video URLs, reducing transcription time by 60%. • Implemented multilingual translation and key takeaway generation using ChatGPT 3.5 Turbo. • Deployed the solution on AWS EC2, ensuring system scalability and high availability. • Utilized FastAPI and parallel processing to enable real-time, multi-video inference.

• Led development of a financial tracking and reporting platform using Django for Procter & Gamble, deployed across 19 countries with 500+ users. • Built an automated Natural Language Generation (NLG) tool for monthly sales summaries, saving over 20 hours/month. • Developed time-series forecasting models to enhance promotional targeting and boost revenue. • Created a claims management system using Microsoft PowerApps, improving processing speed by 5x and efficiency by 90%.