Alissa Jouljian
@alissajouljian
Machine learning specialist focusing on computer vision, LLMs, and RAG systems.
What I'm looking for
I am a machine learning specialist with practical experience in computer vision, large language models, and Retrieval-Augmented Generation (RAG). I balance strong research foundations with hands-on engineering to build and optimize end-to-end ML pipelines.
My work spans multimodal modeling, generative modeling, and model evaluation, with projects that include CLIP-based multimodal hate-speech detection and real-time object detection pipelines using YOLO and Faster R-CNN.
I have built RAG-based document Q&A systems using LangChain and ChromaDB and implemented GAN-based models for large-scale image generation and visualization. I prioritize dataset quality, evaluation, and performance optimization in production workflows.
I am pursuing an MSc in Computer and Information Science and bring experience as an AI trainer and computer vision engineer, focused on delivering robust, deployment-ready models and improving annotation and ingestion workflows.
Experience
Work history, roles, and key accomplishments
Contributed to ML projects involving image and text data, improved annotation workflows using LLMs and RAG pipelines, and focused on dataset quality, evaluation, and performance optimization.
Computer Vision Engineer
Pixeria
Jul 2023 - Apr 2024 (9 months)
Developed image segmentation pipelines to improve accuracy and efficiency for floor and tile pattern recognition, applied lighting/shadow augmentation, and implemented GAN-based models for large-scale visualization.
Education
Degrees, certifications, and relevant coursework
American University of Armenia
Master of Science, Computer and Information Science
2024 -
Master of Science in Computer and Information Science focusing on machine learning, computer vision, and large language models with practical pipeline and optimization experience.
American University of Armenia
Bachelor of Science, Computer Science
2020 - 2024
Bachelor of Science in Computer Science with coursework and projects in machine learning, computer vision, and model deployment.
Armenian Code Academy
Certificate, Advanced Machine Learning
2023 - 2023
Completed an Advanced Machine Learning program covering mathematics for ML, classical ML, programming for ML, and deep learning.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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