Curriculum Vitae

Shekhar Koirala

Machine Learning Engineer

Dublin, Ireland | shekharkoirala4@gmail.com | shekharkoirala.github.io
github.com/shekharkoirala | linkedin.com/in/shekharkoirala

Summary

Machine Learning Engineer with a strong software-engineering foundation, focused on taking ML systems from prototype to reliable production. Experience spans computer vision, data pipelines, and MLOps — building, deploying, and monitoring models on cloud and edge hardware. Comfortable across the full stack of a modern ML workflow: data sourcing, training, serving, and observability.

Experience

Machine Learning Engineer, Identv Present
  • Design and ship computer-vision and identity-verification models into production services.
  • Build data pipelines and model-serving infrastructure with an emphasis on reliability and latency.
  • Own model evaluation, drift monitoring, and rollback strategy across the ML lifecycle.
Software Engineer, Ekbana Earlier
  • Developed backend services and data-driven features for client products.
  • Worked across the stack — APIs, databases, and deployment — in a fast-paced consultancy setting.

Education

M.Sc. Computer Science (OMSCS), Georgia Institute of Technology Online
  • Specialization in Machine Learning / Computing Systems.
B.E. Electronics & Communication Engineering, IOE, Thapathali Campus

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Technical Skills

Languages
Python, SQL, Bash, JavaScript
ML / DL
PyTorch, scikit-learn, TensorRT, computer vision, clustering
MLOps
Prefect, Airflow, MLflow, model registries, drift detection
Cloud
AWS (Lambda, S3, CloudWatch), Terraform, serverless
Edge / HW
NVIDIA Jetson, CUDA, cuDNN, SDK Manager
Tooling
Docker, Git, Pyenv / Pipenv / Poetry, FFmpeg

Selected Projects & Writing

Robust MLOps Infrastructure Blog
  • Pragmatic patterns for testing, drift detection, rollback, and flexible serving in production ML.
Automated Image Clustering for E-commerce Case study
  • Unsupervised pipeline to cluster product imagery at scale; from data sourcing to evaluation.
NVIDIA Jetson + TensorRT Benchmarking Guide
  • End-to-end setup of Jetson dev boards and TensorRT optimization of PyTorch models with benchmarks.

Writing

  • Author of DumpDocs — a personal blog on ML, AI, MLOps, and Python (15+ technical guides & case studies).

Languages

English
Professional
Nepali
Native

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