Harkirat Gill

Machine Learning Engineer at CorroHealth

Designed and developed 5 GenAI pipelines and integrated into AI Studio for automated large-scale processing of medical data; created ensemble AI diagnosis identification pipeline; optimized pre-existing LLM and NLP pipelines for speed; led AI/ML team for diagnosis model testing and performance optimization; developed method for automatically generating and optimizing prompts for LLM queries.

Computer Science Instructor at Benedictine University

Led and lectured for 4 undergraduate AI/ML courses with emphasis on hands-on implementation of major algorithms through course projects.

Computer Vision Research at WildMe

Developed methods for improving animal identification from photos for wildlife researchers with improved image segmentation ML models; improved accuracy by 20% with zero labeled data using a novel segmentation approach.

Machine Learning Engineer at ForceMetrics

Developed rapid AI insights system to interpret law enforcement field data and improve officer service quality and impact; led design & development of hybrid language models to identify key community and high-risk events from reports using fine-tuned LLMs and hybrid NLP models; optimized AI QA system for processing large volumes of documents; led LLM-based incident tagging and event extraction pipeline; cut ML development costs by 80-95% across >30 models with new model training workflows; led data team in AI testing strategy; created ML validation studio with LLM-based document highlighting; developed NLP ensemble method boosting incident topic detection accuracy by 40%.

AI Engineer (Contract) at Stenograph

Created automated job recommender system using ML and rules-based business logic; built ML training pipeline and API for inference in deployment.

AI Researcher at Northwestern University

Video super-resolution: developed computer vision methods to enhance video resolution using CNN and vision transformer architecture; Narrative generation: created a narrative generation system combining reasoning with GPT to generate coherent stories with controllable trajectory and dynamics.