Arbaaz Ali

Designed and built a normalized PostgreSQL database from fragmented Excel files, performing extensive data cleaning, standardization, and analysis to define relational schemas, indexes, and constraints for scalable querying and integrity. • Developed Python scripts and LLM-powered extraction pipelines (e.g., LLaMA2) to extract structured metadata from unstructured PDFs and Word documents, including tables and technical specifications. • Built internal Python-backed UIs using Streamlit and Gradio to help engineers retrieve project insights and historical design information interactively from previously processed documentation. • Collaborating on ML pipelines to analyze trends, surface project KPIs, and predict operational risk factors, contributing to strategic business decision-making across project teams

News-Watcher: Developed a Python project for web scraping diverse news sources, extracting headlines, detailed news, and images. Integrated parsed data into a centralized database for a dynamic news app backend. News-Clustering: Utilized BERT model to cluster similar news articles, enhancing user experience with organized and relevant content based on semantic similarity. News-Vlogger: Created Python script for asynchronous fetching of vlogs from YouTube channels, secure downloading via Docker containers, and efficient conversion to MP3 format. Integrated functionality to upload converted vlogs to Google Drive. Skills: Integration of AI Libraries, Web scraping, Docker, Python threading and Async Programming, AWS (RDS, EC2), Redis, GIT, Database Management (PostgreSQL, MySQL), Linux-based project deployments.

Developed a comprehensive video course covering the basics of Python programming, Object-Oriented Programming (OOP) concepts, problem-solving, and practical projects.Designed and recorded