> Hasnain Niazi

Core Function: Developing an AI-enhanced productivity platform for workflow and schedule organization

Technical Impact: Integrated external APIs for automated task population and real-time reminders

Product Thinking: Led UI/UX improvements to increase engagement and clarity of task management

Leadership/Collaboration: Mentoring six team members through product ideation, development, and iteration cycles

ML/Data Pipeline: Designed AI-driven educational modules for stock analysis. Developed end-to-end data and deployment pipeline for dashboard release

Embedded/Hardware: Built an environment-aware desk companion that encourages sustainable focus habits using Raspberry Pi 5

Implementation: Implemented real-time sensor processing and animated UI synced across Pi and mobile app

Core Function: Architected the sentiment analysis pipeline, allowing uploaded marketing assets to generate critiques and resonance scores using a hybrid SynFusion model

Technical Impact: Contributed to API logic, model serving, and authentication using FastAPI and Auth0. Built a multi-transformer NLP stack

Product Thinking: Consolidated campaign assets to give advertisers an early understanding of message impact before publishing

Core Function: Extracts key insights from dense filings using Gemini-powered RAG flows and presents them as clean summaries

Technical Impact: Implemented FastAPI services and integrated Supabase for authentication and storage

Product Thinking: Ensured AI-generated insights stayed readable, accurate, and visually consistent for financial study

Core Function: Converts raw Toyota GR telemetry into synchronized race timelines, corner detection, and driver performance insights

ML/Data Pipeline: Built core backend components including chunked ingestion, data cleanup, and high-frequency alignment to process multi-gigabyte telemetry

Implementation: Developed visualization components to replay racing data in real-time, converting signals into an understandable interface