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I'm Khushali Shah, a ML/AI Software Developer focused on backend data pipelines, time-series analysis, and applied machine learning. I have experience processing large-scale datasets, building scalable analytics pipelines, and integrating cloud-based solutions (AWS, GCP, Azure) to generate actionable insights. My work centers on anomaly detection, predictive maintenance, and solving real-world problems. I enjoy collaborating with cross-functional teams to embed AI outputs into decision-support systems and to deliver end-to-end AI pipelines that improve outcomes. Proficient in Python, PyTorch, TensorFlow, and cloud ML services, I’m always eager to tackle new challenges.…I'm Khushali Shah, a ML/AI Software Developer focused on backend data pipelines, time-series analysis, and applied machine learning. I have experience processing large-scale datasets, building scalable analytics pipelines, and integrating cloud-based solutions (AWS, GCP, Azure) to generate actionable insights. My work centers on anomaly detection, predictive maintenance, and solving real-world problems. I enjoy collaborating with cross-functional teams to embed AI outputs into decision-support systems and to deliver end-to-end AI pipelines that improve outcomes. Proficient in Python, PyTorch, TensorFlow, and cloud ML services, I’m always eager to tackle new challenges.

Khushali Shah

Data Scientist, AI Engineer, Data Analyst, +3

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I'm Khushali Shah, a ML/AI Software Developer focused on backend data pipelines, time-series analysis, and applied machine learning. I have experience processing large-scale datasets, building scalable analytics pipelines, and integrating cloud-based solutions (AWS, GCP, Azure) to generate actionable insights. My work centers on anomaly detection, predictive maintenance, and solving real-world problems. I enjoy collaborating with cross-functional teams to embed AI outputs into decision-support systems and to deliver end-to-end AI pipelines that improve outcomes. Proficient in Python, PyTorch, TensorFlow, and cloud ML services, I’m always eager to tackle new challenges.…I'm Khushali Shah, a ML/AI Software Developer focused on backend data pipelines, time-series analysis, and applied machine learning. I have experience processing large-scale datasets, building scalable analytics pipelines, and integrating cloud-based solutions (AWS, GCP, Azure) to generate actionable insights. My work centers on anomaly detection, predictive maintenance, and solving real-world problems. I enjoy collaborating with cross-functional teams to embed AI outputs into decision-support systems and to deliver end-to-end AI pipelines that improve outcomes. Proficient in Python, PyTorch, TensorFlow, and cloud ML services, I’m always eager to tackle new challenges.

Available to hire

I’m Khushali Shah, a ML/AI Software Developer focused on backend data pipelines, time-series analysis, and applied machine learning. I have experience processing large-scale datasets, building scalable analytics pipelines, and integrating cloud-based solutions (AWS, GCP, Azure) to generate actionable insights.

My work centers on anomaly detection, predictive maintenance, and solving real-world problems. I enjoy collaborating with cross-functional teams to embed AI outputs into decision-support systems and to deliver end-to-end AI pipelines that improve outcomes. Proficient in Python, PyTorch, TensorFlow, and cloud ML services, I’m always eager to tackle new challenges.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Deep Learning Engineer (Contract, part-time) at Codemed Techmed Pvt Ltd

June 1, 2023 - Present

Cleaned and processed healthcare datasets, ensuring model readiness and data pipeline consistency. Retrained CNN models after validating image resolution and formatting, improving inference reliability. Applied advanced feature extraction techniques (SIFT, SURF, HOG, LBP, Image Hashing), boosting model accuracy in medical image classification. Optimized AI pipelines end-to-end, achieving a 20% increase in diagnostic prediction accuracy. Collaborated with cross-functional teams to embed AI outputs into clinical decision support systems.

Teaching Assistant for UCMAS Students at SAAJ Education ( UCMAS NC Calgary )

June 1, 2024 - Present

Manage and support multiple students, ensuring an engaging and productive learning environment. Guide students in solving Math problems, fostering understanding of fundamental math concepts. Maintain consistent communication with parents to provide progress updates, emphasizing the development of analytical and mathematical skills.

Data Analyst & Machine Learning Engineer (Contract, part-time) at New Idea Machine

April 1, 2025 - September 9, 2025

Built and maintained interactive Power BI dashboards using DAX to track organizational KPIs, improving executive visibility and decision-making. Performed statistical analysis and trend evaluation to uncover operational inefficiencies and identify cost-saving opportunities. Collaborated with stakeholders to translate analytical insights into strategic initiatives. Delivered executive-level presentations to align teams on performance metrics and business priorities.

Associate Machine Learning Developer (Contract) at AltaML Inc

December 1, 2022 - September 9, 2025

Designed and deployed scalable ML pipelines on Microsoft Azure to automate data ingestion, reducing manual overhead and increasing operational efficiency. Executed detailed Exploratory Data Analysis (EDA) to manage missing values, normalize features, and identify predictive attributes for downstream models. Implemented time-series forecasting and anomaly detection models to provide insights into client system behaviour. Created thorough documentation for data workflows, ensuring alignment with business requirements and regulatory standards.

Deep Learning Engineer (Contract, part-time) at Codemed Techmed Pvt Ltd

June 1, 2023 - Present

Cleaned and processed healthcare datasets, ensuring model readiness and data pipeline consistency. Retrained CNN models after validating image resolution and formatting, improved inference reliability. Applied advanced feature extraction techniques (SIFT, SURF, HOG, LBP, Image Hashing), boosting model accuracy in medical image classification. Optimized AI pipelines end-to-end, achieving a 20% increase in diagnostic prediction accuracy. Collaborated with cross-functional teams to embed AI outputs into clinical decision support systems.

Teaching Assistant for UCMAS Students at SAAJ Education ( UCMAS NC Calgary )

June 1, 2024 - Present

Data Analyst & Machine Learning Engineer (Contract, part-time) at New Idea Machine

April 1, 2025 - September 9, 2025

Associate Machine Learning Developer (Contract) at AltaML Inc

December 1, 2022 - September 9, 2025