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AI/ML engineer with 4+ years building and deploying production AI systems across discovery, ETL, model/agent development, and cloud deployment, while pursuing an M.Sc. in Computer Science at the University of Ottawa. Experienced with LLM/RAG solutions, self-hosted open-source deployments, and automation via API integrations. Comfortable translating business needs into working technical systems, having led end-to-end AI solution design as both an engineer and a startup founder—delivering role-based, production-grade software on AWS and building secure, measurable workflows in healthcare-focused settings.…AI/ML engineer with 4+ years building and deploying production AI systems across discovery, ETL, model/agent development, and cloud deployment, while pursuing an M.Sc. in Computer Science at the University of Ottawa. Experienced with LLM/RAG solutions, self-hosted open-source deployments, and automation via API integrations. Comfortable translating business needs into working technical systems, having led end-to-end AI solution design as both an engineer and a startup founder—delivering role-based, production-grade software on AWS and building secure, measurable workflows in healthcare-focused settings.

Chanpreet Singh

AI Engineer, Data Scientist, Software Engineer, +2

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AI/ML engineer with 4+ years building and deploying production AI systems across discovery, ETL, model/agent development, and cloud deployment, while pursuing an M.Sc. in Computer Science at the University of Ottawa. Experienced with LLM/RAG solutions, self-hosted open-source deployments, and automation via API integrations. Comfortable translating business needs into working technical systems, having led end-to-end AI solution design as both an engineer and a startup founder—delivering role-based, production-grade software on AWS and building secure, measurable workflows in healthcare-focused settings.…AI/ML engineer with 4+ years building and deploying production AI systems across discovery, ETL, model/agent development, and cloud deployment, while pursuing an M.Sc. in Computer Science at the University of Ottawa. Experienced with LLM/RAG solutions, self-hosted open-source deployments, and automation via API integrations. Comfortable translating business needs into working technical systems, having led end-to-end AI solution design as both an engineer and a startup founder—delivering role-based, production-grade software on AWS and building secure, measurable workflows in healthcare-focused settings.

Available to hire

AI/ML engineer with 4+ years building and deploying production AI systems across discovery, ETL, model/agent development, and cloud deployment, while pursuing an M.Sc. in Computer Science at the University of Ottawa. Experienced with LLM/RAG solutions, self-hosted open-source deployments, and automation via API integrations.

Comfortable translating business needs into working technical systems, having led end-to-end AI solution design as both an engineer and a startup founder—delivering role-based, production-grade software on AWS and building secure, measurable workflows in healthcare-focused settings.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Hindi

Advanced

Work Experience

Startup Founder & CEO at MediEaseClinic

June 1, 2024 - Present

Founded and led an AI-driven healthcare startup, partnering with physicians and clinic staff to convert operational pain points into production-ready technical solutions. Designed and deployed a full-stack SaaS platform integrating AI-assisted clinical note generation powered by a self-hosted, open-source LLM (Llama) to keep patient data on-premises, along with digital scheduling and patient record workflows. Implemented Role-Based Access Control (RBAC) to secure distinct workflows for receptionists, doctors, and administrators, enabling role-appropriate AI agent access. Reduced scheduling errors and patient wait times by automating reminders and centralizing records, using data to demonstrate operational efficiency improvements.

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.