Zhyrgalbek
Kalykov

Team ML project on the DrivenData 'Pump it Up' competition: predicting whether 59,400 Tanzanian water pumps are functional, need repair, or broken. Built the full pipeline — regional GPS and population imputation, MinMax normalization, Random Forest vs Decision Tree with multi-class ROC/AUC, and KMeans + PCA clustering — targeting 83%+ accuracy.

'Achieving Optimal Fraud Detection with PaySim: A Comparative Study of Random Forest and Decision Tree' — trained classifiers on the 6.3M-transaction PaySim dataset, handling extreme class imbalance. Includes the full research report (PDF).

A screen- and audio-aware AI assistant: an invisible always-on-top desktop overlay (hidden from screen shares) plus a local browser app with real-time answers, live meeting notes, and history. Powered by Claude.

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.

Run your Mac from the couch: a real terminal plus full screen, mouse, and keyboard control served to your phone's browser over the local network. QR-code pairing, HTTPS on LAN, no cloud, no accounts.

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.