Hi, my name is
I'm a computer science major specializing in building (and occasionally designing) exceptional tech experiences. Currently, I'm focused on building accessible, human-centered products at Gilteq. Aiming for a full time role in 2026 or summer internship for 2025.
Hey employers!
Along side my professional work experience and highlighted projects, visit the archive page to see all the ✨ amazing ✨ projects I've been working on. You can filter and search, and all the metrics are there!
Not sure how to use the filters? Don't worry, there's a handy tutorial to guide you through all the features.
Hello! My name is Ahnaf and I enjoy creating things that live on the internet. My interest in web development started back in 2020 when I decided to try building my first website — turns out hacking together a custom portfolio site taught me a lot about HTML & CSS!
Fast-forward to today, and I've had the privilege of working at an analytics company, a start-up, and a financial services firm. My main focus these days is building accessible, inclusive products and digital experiences at Gilteq for a variety of clients.
I also recently contributed to an open-source project that covers everything you need to build a web app with AI integration.
Here are a few technologies I've been working with recently:
Dec 2024 — Present
Featured Project
Contributed to a medium impact open-source project (26.8k stars, 2.6k forks) by implementing the OpenAI o3 function support into the Chatbox application and interface, enhancing AI interaction capabilities. Designed and developed UI components for adding and removing functions, improving user experience and extending functionality for AI enthusiasts and developers. Integrated new features with existing API calls, ensuring backward compatibility while expanding project capabilities.
Featured Project
Streamlined unstructured data organization by implementing BERT embeddings and cosine similarity analysis, optimized through multi-threaded execution on ARM64 architecture, achieving 35% reduction in processing time. Integrated interactive Plotly dashboards to visualize semantic relationships and embedding clusters, enabling efficient pattern recognition and data-driven decision making. Enhanced data classification workflow by engineering an embedding-based comparison system, potentially reducing analysis times by up to 99% in specific use cases while maintaining data integrity.
Featured Project
Developed Athena, an AI application for conversational Google Calendar management. Internal benchmarking and performance analysis position its capabilities among top AI scheduling tools, particularly in reliably executing complex, multi-step commands derived from natural language (92% interaction efficiency). Built the backend infrastructure (Node.js) utilizing PostgreSQL for persistent storage of user profiles, preferences, and conversation history, ensuring accurate context for the AI. Implemented a multi-layer caching strategy (Redis L2, Node-cache L1) to optimize performance by reducing Google Calendar API latency and ensuring rapid data retrieval. Engineered the natural language processing pipeline using a Large Language Model (LLM) to accurately and safely interpret diverse and context-heavy user commands for calendar actions with 98% accuracy. Architected the AI agent pipeline to perform autonomous planning and sequential invocation of multiple tools (function calling) based on conversational context to fulfill complex, multi-step user requests without any extra input from the user.
My inbox is always open. Whether you have a question or just want to say hi, I'll get back to you for sure!