Nurdaulet Akhmatov

Led the development of a multi-source AI lead-generation engine by integrating external APIs and internal data, improving lead scoring accuracy by 70% and boosting conversion by 20%. Deployed an AI-driven telephony solution with STT/TTS and automated call summaries, reducing manual review time by 60% and improving sales script adherence by 25%. Built a real-time metrics dashboard across CRM/ERP modules for unified lead-to-revenue visibility, increasing forecast accuracy by 25%. Ensured platform reliability with 99.8% uptime and a 0.90 Apdex score through proactive monitoring and SLO management.

Developed an NLP pipeline processing 85,000+ survey responses in 70+ languages, automating sentiment analysis and reducing manual analysis time by 80%. Implemented an ML-powered data validation system with anomaly detection, achieving 45% improvement in data quality and eliminating 95% of invalid entries at the source. Architected a predictive analytics engine (scikit-learn, TensorFlow) to forecast social impact metrics with 92% accuracy for projects funded over $1.7M. Deployed a mobile-first, offline-sync data collection platform enabling field researchers to capture 1M+ data points in remote areas with 99.7% data integrity.

Engineered ultra-low latency (~150 ms) video streaming for drone control at speeds over 150 km/h, outperforming traditional streaming solutions across 23 countries. Built a scalable WebRTC architecture supporting 10,000+ concurrent players and designed to handle fivefold traffic spikes during tournaments through dynamic load balancing. Developed an IoT integration layer for drones and RC vehicles, processing 1,000+ telemetry data points per second with a real-time analytics dashboard. Launched a tournament management system with automated matchmaking, facilitating $750K in funding and enabling international expansion.