Zhyrgalbek
Kalykov

A unified, enhanced view for Canvas LMS with a modern and intuitive UI. Combines functionality with an exceptional user experience to make navigating coursework seamless.

A Telegram bot that helps students track their Canvas LMS assignments with smart deadline reminders. Features enterprise-grade security using Google Cloud KMS for token encryption, Firestore for storage, and automated notifications at 24h, 12h, 6h, and 1h before deadlines. Deployed on Google Cloud Run.

An advanced AI website builder landing page. Describe your vision, and watch it come to life in seconds with one-prompt creation, AI-generated copy, SEO optimization, and a custom design system.

A multi-modal AI voice assistant that enhances voice models with speaker diarization, background noise detection, speech-to-text via OpenAI Whisper, and text-to-speech synthesis. Includes RAG-based retrieval for intelligent responses and context-aware embeddings.

Developed an AI Q&A model using NLP and machine learning with Python, helping students at North American University get real-time answers to queries. Built the front-end using React and styled with Tailwind CSS for seamless user interaction. Optimized the model with NAU-specific data to improve response accuracy and relevance.

Built an AI podcast analyzer at the Llama 4 Hackathon in Seattle with a team. SuperPod uses the Llama-4-Maverick-17B-128E-Instruct-FP8 model to transcribe audio, perform semantic search with ChromaDB, and let users jump to specific parts of podcasts using natural language.

Built Polywatcher, a data analyzer for Polymarket. Selected as a Top 10 finalist! Team: Asel Torogulova, Spencer Chin, and Sergei Ivanov.

Built a tool that integrates AI into podcasts for real-time analysis and insights. Worked with an amazing team — Nand Dave, Vishal Shah, and Saptak Sen. Big thanks to Meta for Developers and Cerebral Valley!