Nirajan Basnet

[email protected] · linkedin.com/in/nbasnet · github.com/nb183

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Education

MS in Computer Science Aug 2024 – May 2026
Wichita State University, Wichita, KS · GPA: 4.0
BE in Computer Engineering Nov 2017 – Mar 2022
IOE Pulchowk Campus, Tribhuvan University, Nepal · First Division Honours

Skills

Programming Languages
Python C/C++ Java C# Rust HTML CSS JavaScript Shell Scripting
Data Infrastructure
MongoDB SQL PostgreSQL Apache Kafka Redis
Libraries & Frameworks
Flask .NET Django FastAPI ReactJS Android Appium Power BI RabbitMQ
Cloud & DevOps
AWS (EC2, Lambda, EKS) Azure DevOps GCP Docker Kubernetes Terraform ArgoCD
AI & LLMs
Vertex AI TensorFlow PyTorch LangChain LLM Finetuning

Experience

Graduate Research and Teaching Assistant Aug 2024 – Present
Wichita State University · Wichita, KS
  • Finetuned Gemini Models on GCP to automate detection of non-compliant Android privacy policies and transitioned research findings into a modular testing framework, reducing manual audit time by 35%.
  • Mentored 100+ students in AI and Computer Networks, providing insights and feedback on exams and assignments.
Software Engineer Jul 2022 – Jun 2024
Fidenz Technologies Pte Ltd · Singapore
  • Architected an end-to-end Nordic shipping management system by engineering high-throughput data pipelines using Azure IoT Hub and Apache Kafka to ingest and transform real-time vessel telemetry for storage in MongoDB.
  • Implemented a real-time CDC system on Amazon EKS using Kafka Streams to synchronize databases, improving reliability and reducing latency by 30%.
  • Leveraged Docker, Kubernetes (AKS), and Terraform to orchestrate distributed IoT systems across Azure, ensuring rapid deployment and 99.2% uptime for mission-critical Nordic Shipping and Intelligent Transport Systems.
  • Streamlined deployment cycles using ArgoCD for GitOps-driven CI/CD, integrated Grafana for real-time observability, and HashiCorp Vault for secure credential management in microservices.
  • Designed scalable schemas and improved MongoDB query performance by 20% through indexing and schema redesign.
  • Transformed raw data into actionable BI for stakeholders using ReactJS to build intuitive dashboard visualizations.
  • Led junior engineers' onboarding and enforced high-standard code reviews to keep the codebase robust and scalable.
Support and Solutions Engineer Intern Jan 2022 – May 2022
LogPoint Inc. · Lalitpur, Nepal
  • Resolved critical performance bottlenecks within Linux-based Python and Java backend services to streamline incident response and system stability.
  • Gained hands-on experience with SIEM systems by reviewing support tickets, analyzing enterprise issues, assisting in debugging production-level distributed services, and documenting SIEM use cases and solutions.
AI Research Intern Aug 2021 – Mar 2022
NAAMII · Lalitpur, Nepal
  • Built a semi-supervised multilingual BERT-based ML model trained on 10,000+ tweets to perform sentiment analysis.
  • Deployed a production-ready real-time COVID-19 discourse analysis dashboard integrated with a FastAPI backend and React frontend to deliver real-time insights.

Projects

Android Unrejectable Policy (UP) Detector

Google Vertex AI, Python, Appium · Aug 2024 – May 2025
  • Built an automated dynamic analysis tool integrating LLM with Appium-driven UI traversal to detect and analyze policy-related screens in Android apps.

Publications

COVID-19-related Nepali Tweets Classification in a Low Resource Setting

Rabin Adhikari, Safal Thapaliya, Nirajan Basnet, Samip Poudel, Aman Shakya, Bishesh Khanal
Seventh Workshop on Social Media Mining for Health Applications · 2022
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Leadership & Awards

  • Ranked in top 1% of 18,000+ students in Nepal's national engineering entrance exam.
  • Instructed database, backend, and ML fundamentals to 100+ participants in fellowships and AI bootcamps.