Reinforcement-learning service for self-optimizing 5G/6G networks. I built the MRO module end-to-end and re-architected the training pipeline from linear to multi-threaded, cutting runtime by 45–55%. Unified RL harness across MRO, CCO, Energy Saving, and Load Balancing rApps.
projects
Production ML systems and personal builds — every metric on these cards is a real, verified number.
Golden topology generator powering Maveric's rApps. I wrote the 3GPP-compliant golden generators — Hata/UMa/UMi path loss, Gauss-Markov mobility across four UE velocity classes, and ECI computation.
GPyTorch Gaussian-process engine for RF propagation prediction. I hardened the serving layer: 3-tier cache (Redis → MongoDB → Postgres), partition-aware exact-offset Kafka commits, and Prometheus-instrumented training histograms.
RL-based adaptive firewall with real-time malware detection. Learns from network activity and shares collaborative threat intelligence across devices — ML models and cloud integration designed for fast, device-specific protection.
Seven-class facial-emotion classifier fine-tuned on FER2013 — ResNet backbone with class-weighted loss for imbalance, test-time augmentation, and multi-GPU training over NCCL.
Zero-dependency PWA for volleyball referees and scorekeepers. Tracks scores, rotations, substitutions, timeouts, and libero usage in real time with automatic rule enforcement. Vanilla JavaScript.