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I'm Rachel Cohen, an AI engineer and researcher focused on turning ideas into reliable real-time AI systems. My work spans end-to-end pipelines for image enhancement in medical contexts and production-grade deployment that blends research with practical impact. I enjoy collaborating across healthcare, software, and operations to simplify complex workflows, automate data processes, and deliver measurable improvements. I'm passionate about applying machine learning to solve real-world problems while fostering open communication with stakeholders and teams.…I'm Rachel Cohen, an AI engineer and researcher focused on turning ideas into reliable real-time AI systems. My work spans end-to-end pipelines for image enhancement in medical contexts and production-grade deployment that blends research with practical impact. I enjoy collaborating across healthcare, software, and operations to simplify complex workflows, automate data processes, and deliver measurable improvements. I'm passionate about applying machine learning to solve real-world problems while fostering open communication with stakeholders and teams.

Rachel Cohen

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I'm Rachel Cohen, an AI engineer and researcher focused on turning ideas into reliable real-time AI systems. My work spans end-to-end pipelines for image enhancement in medical contexts and production-grade deployment that blends research with practical impact. I enjoy collaborating across healthcare, software, and operations to simplify complex workflows, automate data processes, and deliver measurable improvements. I'm passionate about applying machine learning to solve real-world problems while fostering open communication with stakeholders and teams.…I'm Rachel Cohen, an AI engineer and researcher focused on turning ideas into reliable real-time AI systems. My work spans end-to-end pipelines for image enhancement in medical contexts and production-grade deployment that blends research with practical impact. I enjoy collaborating across healthcare, software, and operations to simplify complex workflows, automate data processes, and deliver measurable improvements. I'm passionate about applying machine learning to solve real-world problems while fostering open communication with stakeholders and teams.

Available to hire

I’m Rachel Cohen, an AI engineer and researcher focused on turning ideas into reliable real-time AI systems. My work spans end-to-end pipelines for image enhancement in medical contexts and production-grade deployment that blends research with practical impact.

I enjoy collaborating across healthcare, software, and operations to simplify complex workflows, automate data processes, and deliver measurable improvements. I’m passionate about applying machine learning to solve real-world problems while fostering open communication with stakeholders and teams.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

French

Advanced

Japanese

Intermediate

Work Experience

AI Engineering Consultant at Independent / Freelance

January 1, 2023 - Present

Developed end-to-end AI image enhancement pipelines from proof of concepts to production; Leveraged LangChain with LLMs to automate generation of grant applications and business plans, streamline business operations, and accelerate funding opportunities; Created and deployed computer vision software to monitor system performance and detect anomalies.

AI Research Engineer at VOPemed

December 1, 2023 - February 1, 2026

Developed end-to-end AI image enhancement pipelines for laparoscopic surgery, including data processing and generation, model training, performance evaluation, and real-time optimization, reducing visual obstructions from smoke and fluids by ~60%. Designed/modified GAN, ViT and Diffusion architectures for image restoration, added novel evaluation frameworks and architectural changes beyond hyperparameter tuning; optimized a sub-40 ms real-time inference pipeline and validated in vivo, enabling seamless integration into live surgical workflows.

AI Developer / Technical Program Manager at Hygienic Echo Inc.

August 1, 2022 - December 1, 2023

Directed a cross-functional R&D team of 5 to develop AI applications using depth cameras for person and object tracking, enabling automated hygiene-compliance monitoring; built cloud-hosted CNN- and YOLO-based CV models for object localization and action recognition; created automated customer-facing reports and dashboards on AWS (Python, JavaScript, and C#), reducing manual workload by ~25% and improving client insights.

Technical Specialist / Program Manager at University Health Network

June 1, 2019 - February 1, 2023

Developed a data collection platform using REST APIs on AWS (SageMaker, Lambda, API Gateway), enabling seamless aggregation of multi-device data; Automated visualization pipelines with AWS, Tableau, and web scraping, reducing manual processing for researchers by 80%; Created edge detection and ML algorithms to assess sidewalk crack severity from depth-camera data, improving mean depth error to 0.09 mm.