Hi there! I'm Ash Kanwal, a seasoned data scientist and AI-powered applications designer with over 6 years of experience designing and implementing AI-powered solutions. I specialize in automating complex workflows, optimizing ML models, and delivering end-to-end AI tooling using Docker and cloud platforms. I have a strong focus on leveraging large language models (LLMs) to drive innovation and practical business outcomes. I enjoy turning ambitious ideas into scalable, reliable products. I build reusable ML pipelines, collaborate with ML engineers and developers to productionize models, and emphasize governance, privacy, and user-centric design to ensure responsible, impactful solutions.

Ash Kanwal

Hi there! I'm Ash Kanwal, a seasoned data scientist and AI-powered applications designer with over 6 years of experience designing and implementing AI-powered solutions. I specialize in automating complex workflows, optimizing ML models, and delivering end-to-end AI tooling using Docker and cloud platforms. I have a strong focus on leveraging large language models (LLMs) to drive innovation and practical business outcomes. I enjoy turning ambitious ideas into scalable, reliable products. I build reusable ML pipelines, collaborate with ML engineers and developers to productionize models, and emphasize governance, privacy, and user-centric design to ensure responsible, impactful solutions.

Available to hire

Hi there! I’m Ash Kanwal, a seasoned data scientist and AI-powered applications designer with over 6 years of experience designing and implementing AI-powered solutions. I specialize in automating complex workflows, optimizing ML models, and delivering end-to-end AI tooling using Docker and cloud platforms. I have a strong focus on leveraging large language models (LLMs) to drive innovation and practical business outcomes.

I enjoy turning ambitious ideas into scalable, reliable products. I build reusable ML pipelines, collaborate with ML engineers and developers to productionize models, and emphasize governance, privacy, and user-centric design to ensure responsible, impactful solutions.

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Work Experience

Lead Data Scientist at Smart Advocate
August 1, 2024 - September 1, 2025
Built an end-to-end pipeline to process very large health files (1000+ pages): OCR extraction, image handling, and saving each report as a labeled file, delivering a pilot that automated hours of manual work. Implemented page-grouping logic to detect and assemble single- and multi-page reports, eliminating manual sorting and review corrections. Generated clear, concise summaries for each extracted report while preserving key facts (dates, diagnoses, test results) to speed legal review. Developed a live chatbot connected to the report system to support attorneys across 100+ reports. Led hands-on testing and rollout with attorneys, product, and security teams; added privacy checks and audit logs and moved the module into production for real-case use.
Senior Data Scientist at John Snow Labs
August 1, 2022 - July 1, 2024
Integrated AL safety guardrails into production workflows, verifying intent validation and ethical use checks to ensure compliant deployment of Al tools in regulated industries; implemented data and ethics checks into production workflows.
Senior Machine Learning Engineer at DataRobot
November 1, 2020 - July 1, 2022
Helped design and scale ETL pipelines with Spark and Delta Lake, structuring data into bronze/silver/gold layers. Implemented end-to-end ML workflows, enabling real-time speech and translation for government and enterprise clients. Implemented reusable prompt engineering framework for standardized prompt structures, reducing inconsistencies in output and aligning with business tone. Delivered a SO API automation solution integrated with EHR systems for documentation and reduced physician burnout.
Machine Learning Engineer at Lilt AI
February 1, 2019 - November 1, 2020
Enabled enterprise adoption by increasing translation accuracy across 10+ languages; built robust NLP components (tokenization, morphology, and entity alignment) that solved long-standing issues with low-resource and morphologically rich languages. Built feedback-driven training loops with human corrections that refined models by approximately 13% in editing time; deployed scalable ML workflows for large-scale production.

Education

Master of Science at University of Karachi
January 11, 2030 - February 5, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Software & Internet, Media & Entertainment