I'm Ashar Baig, a Senior Machine Learning Engineer with 8+ years of experience turning advanced ML research into scalable, production-ready systems. I translate end-to-end ML life-cycle work—from data ingestion and feature engineering to model development, deployment, monitoring, and continuous optimization—into cloud and hybrid environments that drive real business results. I have a deep technical background in deep learning, NLP, reinforcement learning, and data-driven decision systems, and I build reliable, high-performance ML pipelines using Python, modern ML frameworks, and MLOps practices. I enjoy collaborating with cross-functional teams, mentoring colleagues, and delivering secure, maintainable AI solutions that scale with the business.

Ashar Baig

I'm Ashar Baig, a Senior Machine Learning Engineer with 8+ years of experience turning advanced ML research into scalable, production-ready systems. I translate end-to-end ML life-cycle work—from data ingestion and feature engineering to model development, deployment, monitoring, and continuous optimization—into cloud and hybrid environments that drive real business results. I have a deep technical background in deep learning, NLP, reinforcement learning, and data-driven decision systems, and I build reliable, high-performance ML pipelines using Python, modern ML frameworks, and MLOps practices. I enjoy collaborating with cross-functional teams, mentoring colleagues, and delivering secure, maintainable AI solutions that scale with the business.

Available to hire

I’m Ashar Baig, a Senior Machine Learning Engineer with 8+ years of experience turning advanced ML research into scalable, production-ready systems. I translate end-to-end ML life-cycle work—from data ingestion and feature engineering to model development, deployment, monitoring, and continuous optimization—into cloud and hybrid environments that drive real business results.

I have a deep technical background in deep learning, NLP, reinforcement learning, and data-driven decision systems, and I build reliable, high-performance ML pipelines using Python, modern ML frameworks, and MLOps practices. I enjoy collaborating with cross-functional teams, mentoring colleagues, and delivering secure, maintainable AI solutions that scale with the business.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

Data Scientist at Kensho Technologies
February 1, 2022 - Present
Conducted applied research and development for entity, event, and topic identification across multi-modal data sets (text, image, audio, multilingual sources); built and deployed end-to-end ML pipelines; containerized inference pipelines using Docker; collaborated with ML scientists and software engineers to deliver production-ready capabilities.
Machine Learning Engineer at Descartes Labs
June 1, 2017 - July 1, 2019
Designed and implemented end-to-end machine learning pipelines covering data ingestion, model training, evaluation, packaging, and deployment for large-scale production systems.
ML Ops Engineer at Descartes Labs
August 1, 2019 - January 1, 2022
Built containerized inference services and ML inference pipelines; deployed cloud-native ML systems on AWS/GCP; monitored data drift; resolved production bottlenecks and reliability issues.
Senior Machine Learning Engineer at Gecko Robotics
August 1, 2022 - Present
Developed end-to-end ML production pipelines on distributed systems; built data fusion, model versioning, CI/CD for ML; deployed cloud-native ML systems on AWS/GCP; collaborated with cross-functional teams to deploy AI solutions; implemented monitoring and explainability; improved system reliability under operational constraints.
Machine Learning Engineer at Descartes Labs
February 1, 2019 - July 1, 2022
Designed and deployed end-to-end ML pipelines for large-scale data analytics; partnered with ML scientists to productionize models; implemented monitoring and CI/CD; deployed on AWS/GCP; drove model performance improvements.
Data Scientist at Kensho Technologies
August 1, 2017 - January 1, 2019
Applied research and development for entity, event, and topic identification across multimodal datasets; designed, trained, and evaluated deep learning and transformer-based models to extract insights; built production-ready data pipelines and collaborated with ML engineers to transition research to production; applied reinforcement learning and data-driven decision models to analyze complex datasets.

Education

Add your educational history here.

Qualifications

Bachelor’s Degree in Computer Science
January 11, 2030 - March 5, 2026
AWS Certified Machine Learning
January 11, 2030 - March 5, 2026
Microsoft Certified: Azure AI Engineer Associate
January 11, 2030 - March 5, 2026
TensorFlow Developer Certificate
January 11, 2030 - March 5, 2026
Bachelor's Degree in Computer Science
January 11, 2030 - April 17, 2026

Industry Experience

Software & Internet, Media & Entertainment, Professional Services, Computers & Electronics, Other