Software Engineer

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I like to write software that talks to other software. My comfort zone is somewhere between C# & Go. Most of my work involves APIs, infrastructure & networking with Docker & gRPC often in the mix. Also, I solve tricky bugs by talking to a duck that has a knife.

hi@bishal0602.com.np github.com/bishal0602 linkedin.com/in/bishal0602

.NET

Golang

TypeScript

PowerShell

Docker

gRPC

Experiences

A summary of my professional and voluntary experiences.

Leadership & Volunteering Experiences

Technical Coordinator

IT Club, Pulchowk Campus, IOE

2024 - 2025

Designed, deployed, and maintained the official IT Club website to support events and resource sharing.
Automated workflows like bulk emailing and event registration, improving operational efficiency
Administered campus VM server hosting student projects, ensuring availability and performance.
Lead workshops and mentored peers in software development and system administration.

Member - Technical Unit

Engineers Without Borders, Pulchowk Campus, IOE

2024 - Present

Participating in club activities and assisting with technical tasks to support club’s initiatives.

Graphics Designer

LOCUS

2022 - 2023

Designed graphics and promotional materials for Nepal’s largest technological festival, enhancing event branding and outreach.

Work Experiences

Backend & Infrastructure Engineer

Threads & Trends, Australia

2023 - 2025

Designed and implemented the backend architecture for Threads & Trends, an online retailer specializing in premium, authentic footwear.
Deployed fully self hosted VPS-based containerized infrastructure with Docker.
Responsible for maintaining services, monitoring system health, and optimizing performance.

Research Work

Academic publications and ongoing research projects.

Agent-Based End-Host Monitoring in IPv6 SDN Intranets: A Hybrid Machine Learning Approach by using UEBA Framework

2025

IEEE NaNA 2025DOI: 10.1109/NaNA66698.2025.00012

Supported by JSPS KAKENHI (Grant No. 23K05416) and University Grants Commission, Nepal (CRG-078/79-ENgg-01).

Proposes a scalable, low-overhead agent-based monitoring system for SDN-enabled IPv6 intranets, deploying lightweight agents on end hosts to collect time-series system/process metrics. Data securely sent over mTLS-protected gRPC streams to centralized analytics.
Detection framework leverages Isolation Forest and LSTM autoencoders within a hybrid UEBA model to build multidimensional baselines and detect abrupt and subtle anomalies.
Integrates with SDN controller via northbound APIs for dynamic flow rule enforcement and near real-time anomaly response with sub-second telemetry latency.
Evaluation on testbed setup yields F1-scores of 0.70 (hardware anomalies) and 0.799 (software anomalies), with low agent overhead, demonstrating viability in security-sensitive environments.