
I build and study distributed systems, networking, and cloud infrastructure, with a strong interest in how large-scale services are designed, deployed, secured, and operated in production environments. My focus lies at the intersection of backend engineering, infrastructure automation, and network security, where reliability, performance, and scalability are essential. I enjoy solving complex systems problems and continuously deepening my understanding of the technologies that power modern infrastructure.
Built a real-time fraud detection pipeline using Kafka and Spark Structured Streaming to run LightGBM inference and flag fraudulent activity.
Built a scalable security monitoring platform with Go microservices, PyTorch-based UEBA anomaly detection, and mTLS-secured communication using PKI.
Built a MERN stack platform for job listings and interview scheduling with real-time chat and secure JWT authentication.
React Native app enabling PC control via smartphone IMU gestures, using sensor fusion and WebSocket for real-time commands.
Oct. 2024 – May 2025
Proposed a scalable, low-overhead agent-based monitoring system for SDN-enabled IPv6 intranets. Deployed lightweight agents to collect time-series system and process metrics. Used mTLS-protected gRPC streams for secure transmission. Hybrid UEBA model with Isolation Forest + LSTM Autoencoders for anomaly detection. Integrated with SDN controller for dynamic flow rule enforcement; achieved sub-second telemetry latency.
Ongoing Research
Proposed CDD O-RAN for automated xApp conflict management in near-RT RIC. Learned offline causal NCP-KPI graphs using EMA-smoothed conditional mutual information. Reused the graph for conflict detection and causal model-based planning. Eliminated predefined QoS mappings and improved Out-Of-Distribution planning performance over dense MLP world models.
Lalitpur, Bagmati
Lalitpur, Bagmati
Lalitpur, Bagmati