Racha Salhi
@rachasalhi
Computer vision & AI engineer building production-ready detection, tracking, and OCR systems.
AlgeriaWhat I'm looking for
I’m an Artificial Intelligence Engineer focused on computer vision R&D and production delivery. At Evercam, I lead research for construction-site monitoring—working on action recognition, multi-object tracking, and detection experiments (including PPE compliance). I also built a camera field-of-view change detection system using LoFTR feature matching to automatically flag camera movement and view drift, and I’ve researched IQA methods to monitor stream health.
I pair strong model development with end-to-end evaluation and deployment. I’ve designed object detection evaluation pipelines to drive model selection and release decisions, and I’ve scaled dataset creation with pseudo-labeling using open-vocabulary detectors (OWL-ViT). Previously at Agot.ai, I spearheaded a donut detection + OCR pipeline and improved performance (10% MAPE on counting; 95% OCR accuracy), while fine-tuning detection, keypoint, and segmentation models and cutting labeling costs by 50% through pseudo-labeling. I’m energized by teams that value rigorous benchmarking, clean ML infrastructure, and shipping reliable AI into real camera workflows.
Experience
Work history, roles, and key accomplishments
Artificial Intelligence Engineer
Evercam
Oct 2024 - Present (1 year 9 months)
Led computer vision R&D for construction-site monitoring, including action recognition, multi-object tracking, and PPE compliance detection. Built LoFTR-based camera field-of-view change detection, researched image quality assessment methods, and contributed to production AI API serving CV models.
Spearheaded a donut detection and classification system for Dunkin' Donuts with an OCR pipeline, achieving reported counting and OCR performance. Fine-tuned and monitored training for detection, keypoint detection, and image segmentation models, optimizing with TensorRT/Optuna and deploying to staging via ArgoCD, while reducing labeling costs with pseudo-labeling.
Integrated PyTorch Lightning into the training codebase and ran continuous multi-object tracking (MOT) tracking evaluations. Containerized services with Docker and added unit tests integrated into GitLab CI.
Education
Degrees, certifications, and relevant coursework
Georgia Institute of Technology
Master of Science, Machine Learning
2025 -
Activities and societies: Fulbright Scholarship recipient; declined the initial placement to pursue Georgia Tech’s ML program.
Pursuing an M.Sc. in Computer Science with a Machine Learning specialization at Georgia Tech.
USTHB (Université des Sciences et de la Technologie Houari Boumediene)
Master of Science, Computer Vision
2019 - 2021
Activities and societies: Research in 3D scene understanding from RGB-D point clouds.
Earned an M.Sc. in Computer Vision with research focused on 3D scene understanding from RGB-D point clouds.
USTHB (Université des Sciences et de la Technologie Houari Boumediene)
Bachelor of Science, Information Systems
2016 - 2019
Completed a B.Sc. in Information Systems at USTHB.
Availability
Location
AlgeriaAuthorized to work in
Portfolio
github.com/RachelslhJob categories
Interested in hiring Racha?
You can contact Racha and 90k+ other talented remote workers on Himalayas.
Message RachaGet matched with your dream remote job
Sign up now and join over 250,000+ remote workers who receive personalized job alerts, curated job matches, and more for free!
