Summary
Omer Sayem is an AI/ML engineer and co-founder based in Montreal with nine years of software experience and about four years focused on backend and machine learning. He builds production-grade multimodal systems—ranging from YOLOv8-based visual pipelines to RAG solutions with CLIP embeddings and Qdrant—optimizing inference with vLLM and containerized microservices for sub-3-second responses. His work spans speech and language tech (ASR, TTS, LLMs, multi-agent systems) and practical ML infrastructure, including serverless ETL, real-time webhooks, and distributed search. At BrandReview.ai he fused computer vision, OCR, color-matching, and multilingual retrieval to achieve >95% accuracy on brand compliance tasks, reflecting a knack for translating research models into reliable products. He brings a blend of startup grit, academic training from Concordia, and hands-on systems engineering that surfaces in both latency-optimized inference and scalable data pipelines.
9 years of coding experience
2 years of employment as a software developer
Master of Applied Computer Science Computer Science, Master of Applied Computer Science Computer Science at Concordia University
Bachelor of Science computer science and software engineering, Bachelor of Science computer science and software engineering at American International University-Bangladesh
IT essentials Information Technology, IT essentials Information Technology at Cisco Networking Academy
French, English