About me

I'm a Software Engineer passionate about backend systems and data platforms, with a knack for DevOps and cloud infrastructure on AWS. I've designed and optimized scalable architectures for both high-growth startups and Fortune 500 companies.

Currently, I'm researching network optimization for distributed deep learning training while pursuing my Master's in Computer Science at Colorado State University. I thrive at the crossroads of AI, data platforms, and backend engineering—building high-performance, scalable systems that drive real-world impact.

What I Do

  • design icon

    Backend Development

    FastAPI, Django, Node.js, Express, Spring Boot

  • Web development icon

    ML Engineering

    TensorFlow, PyTorch, HuggingFace, Scikit-learn, Pandas, Numpy

  • mobile app icon

    Data Engineering

    Spark, Hadoop, Airflow, Snowflake, Redshift, Looker

  • camera icon

    DevOps

    Git, Docker, Kubernetes, Terraform, AWS, Github Actions, CI/CD

Tech Stack

  • Linux
  • Git
  • Docker logo Docker
  • Python logo Python
  • TypeScript logo TypeScript
  • Java logo Java
  • JavaScript
  • FastAPI logo FastAPI
  • Django logo Django
  • Node.js
  • React
  • TensorFlow logo TensorFlow
  • PyTorch logo PyTorch
  • HuggingFace logo HuggingFace
  • Scikit-learn logo Scikit-learn
  • Pandas logo Pandas
  • Numpy logo Numpy
  • Spark logo Apache Spark
  • Hadoop logo Hadoop
  • Airflow logo Apache Airflow
  • Looker logo Looker
  • Kubernetes logo Kubernetes
  • Terraform logo Terraform
  • Aws logo AWS

Code In Motion

    My Journey

    Experience

    1. Graduate Research Assistant (Machine Learning)

      Colorado State University

      August, 2023 — Present

      Exploring model specific networks at the intersection of AI, distributed computing, and infrastructure automation.


      Building scalable, containerized multi-node training pipelines for deep learning with TensorFlow and Kubernetes.

    2. Software Engineer (Backend & DataOps)

      Naamche Inc.

      November, 2021 — July, 2023

      Built AI-driven applications for FinTech and Real Estate solutions in the backend and data engineering team.


      Integrated REST microservices to process stock trades and banking transactions for a wealth management platform catering high net-worth individuals.


      Developed and launched a US regulations-compliant real estate investment platform for Realpha, leveraging a GraphQL backend.


      Architected AI driven analytics pipelines to integrate 1M+ property records for short-term rental analytics.

    3. Associate Software Engineer

      Logic Information Systems

      April, 2021 — November,2021

      Worked in the Data Engineering and Business Intelligence team.


      Developed Snowflake-based data architecture for Fortune 500 retailers like HotTopic and Ralph Lauren.


      Automated retail analytics reporting with workflows and dashboards in Looker.

    Education

    1. Master of Science in Computer Science

      Colorado State University

      2023 — 2025

      High-Performance Computing Lab


      Advisor: Dr. Jedidiah McClurg

    2. Bachelor of Engineering in Computer Engineering

      Tribhuvan University

      2017 — 2021 Advisor: Dr. Babu R. Dawadi

    Publications

    1. Towards Synthesis of Application-Specific Forward Error Correction (FEC) Codes

      McClurg J, Baker LZ, Canizales R, Karki D. Towards Synthesis of Application-Specific Forward Error Correction (FEC) Codes. In: Proceedings of the 23rd ACM Workshop on Hot Topics in Networks (HotNets '24). New York, NY: Association for Computing Machinery; 2024: 229–236. https://doi.org/10.1145/3696348.3696886

    2. Routing Performance Evaluation of a Multi-Domain Hybrid SDN for Its Implementation in Carrier Grade ISP Networks

      Dawadi BR, Thapa A, Guragain R, Karki D, Upadhaya SP, Joshi SR. Routing Performance Evaluation of a Multi-Domain Hybrid SDN for Its Implementation in Carrier Grade ISP Networks. Appl Syst Innov. 2021;4(3):46. https://doi.org/10.3390/asi4030046

    3. Experimental Evaluation of a Multi-Domain Routing in SDN and its Inter-operability with Legacy Networks

      Thapa A, Karki D, Guragain R, Upadhyaya SP, Dawadi BR, Joshi SR. Experimental Evaluation of a Multi-Domain Routing in SDN and its Inter-operability with Legacy Networks. In: Proceedings of the 2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). Bangalore, India; 2021: 1–6. https://doi.org/10.1109/CONECCT52877.2021.9622615

    Blog

    Contact

    Contact Form