2.5+ years experience
Sujal Shah
Machine Learning Engineer & Trainer
Machine Learning Engineer at WorldLink Communications
Sujal Shah is a machine learning engineer and trainer with 2.5+ years of professional experience across data science and machine learning, including almost 2 years in ML. He builds production-ready ML systems at WorldLink Communications, one of Nepal’s largest telecom and ISP companies
About the role
At present, Sujal Shah is a Machine Learning Engineer at World Link Communications. He creates, trains, and deploys machine learning models to address real business challenges within a production telecom environment (beyond a demo proof of concept). He initially began at WorldLink in March 2025, creating and deploying ML models into production, and transitioned to engineering as a full-time employee in August 2025.
His responsibilities include taking care of end-to-end ML systems, including data engineering, feature engineering, training, evaluation, and deploying the models to production, with specialization in NLP, LLMs, RAGs, and MLOps pipelines.
Learning That Ships
Sujal thinks that ML should be taught the way it is done: end-to-end, from data to deployment and monitoring. His teaching is based on the systems he creates at work, from clean, maintainable, and production-ready code to the tools that teams really use (e.g., Docker, FastAPI, model versioning and logging).
He guides you through complicated concepts such as LLMs and RAG with straightforward, real-world lessons and has experience working with cross-functional teams in both engineering, product, and business to help the student know how to engineer the model and how to use it.
Professional highlights
2.5+ years of total professional experience
Machine Learning Engineer at WorldLink Communications
Builds and deploys production-grade ML systems at one of Nepal's largest telecom and ISP companies
End-to-end ownership: raw data to deployed; monitored models
Completed 7 IBM and LinkedIn professional certificates in Python and SQL; data analytics and visualization
Open to volunteering in Science and Technology; Social Services; and Disaster Relief
Expertise
Machine Learning
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Natural Language Processing (NLP)
Computer Vision
Time Series Analysis
Classification
Regression & Clustering
MLOps & Model Deployment
Model Versioning & Logging
Data Engineering & ETL Pipelines
Python Programming
SQL & PostgreSQL