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AI/ML engineer with 4+ years of experience building and deploying deep learning systems, LLM pipelines, and cloud-backed applications. Currently pursuing an M.Sc. in Computer Science at the University of Ottawa and leading healthcare AI product development through MedieaseClinic. I specialize in end-to-end ML production: use-case discovery, data pipelines, model training, and operational integration with secure data practices. I’ve collaborated with physicians and clinic teams to deliver production SaaS for appointment workflows, patient records, and clinical note generation.…AI/ML engineer with 4+ years of experience building and deploying deep learning systems, LLM pipelines, and cloud-backed applications. Currently pursuing an M.Sc. in Computer Science at the University of Ottawa and leading healthcare AI product development through MedieaseClinic. I specialize in end-to-end ML production: use-case discovery, data pipelines, model training, and operational integration with secure data practices. I’ve collaborated with physicians and clinic teams to deliver production SaaS for appointment workflows, patient records, and clinical note generation.

CHANPREET SINGH

AI Engineer, Data Scientist, Software Engineer, +1

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AI/ML engineer with 4+ years of experience building and deploying deep learning systems, LLM pipelines, and cloud-backed applications. Currently pursuing an M.Sc. in Computer Science at the University of Ottawa and leading healthcare AI product development through MedieaseClinic. I specialize in end-to-end ML production: use-case discovery, data pipelines, model training, and operational integration with secure data practices. I’ve collaborated with physicians and clinic teams to deliver production SaaS for appointment workflows, patient records, and clinical note generation.…AI/ML engineer with 4+ years of experience building and deploying deep learning systems, LLM pipelines, and cloud-backed applications. Currently pursuing an M.Sc. in Computer Science at the University of Ottawa and leading healthcare AI product development through MedieaseClinic. I specialize in end-to-end ML production: use-case discovery, data pipelines, model training, and operational integration with secure data practices. I’ve collaborated with physicians and clinic teams to deliver production SaaS for appointment workflows, patient records, and clinical note generation.

Available to hire

AI/ML engineer with 4+ years of experience building and deploying deep learning systems, LLM pipelines, and cloud-backed applications. Currently pursuing an M.Sc. in Computer Science at the University of Ottawa and leading healthcare AI product development through MedieaseClinic.

I specialize in end-to-end ML production: use-case discovery, data pipelines, model training, and operational integration with secure data practices. I’ve collaborated with physicians and clinic teams to deliver production SaaS for appointment workflows, patient records, and clinical note generation.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Hindi

Advanced

Work Experience

Founder & CEO at MedieaseClinic

June 1, 2024 - Present

Founded MedieaseClinic, an AI-driven healthcare startup partnering with physicians and clinic staff to modernize clinic operations and training. Designed and launched a full-stack SaaS platform for digital appointment scheduling, patient record management, and clinical note generation. Implemented role-based access control for receptionists (registration and scheduling), doctors (history and digital notes), and administrators (staff management and dashboards). Reduced scheduling errors and patient wait times by replacing paper-based workflows with automated reminders and centralized digital records. Achieved DPIIT certification and Startup India approval for government-recognized startup status.

Product Engineer – Data Science at IBS Software

April 1, 2022 - April 1, 2024

Identified actionable ML use cases from iCargo logistics data, prepared business cases, and secured stakeholder approval for end-to-end model development. Trained and fine-tuned ML models to improve cargo management decision-making and operational intelligence across enterprise workflows. Re-engineered data preparation pipelines from PL/SQL to Python (pandas), improving processing speed, maintainability, and scalability for ML training and deployment.

AI Research Contributor at NVIDIA (via Bennett University)

December 1, 2019 - January 31, 2020

Implemented a custom TensorRT plugin for a specialized neural network layer as part of an NVIDIA-hosted deep learning optimization research project. Optimized GPU inference performance using NVIDIA TensorRT, gaining hands-on experience with production-grade AI acceleration tooling.