Sammar Rehman

working on machine learning models and python development

▸ Built an Amazon Keyword Classification system leveraging NLP to categorise product listings and improve
search relevance at scale.
▸ Automated Excel reporting pipelines and implemented ClickUp automations — reducing manual data
handling overhead via REST API integrations.

▸ Selected for Samsungs nationally competitive AI/ML intensive programme — gaining applied exposure to
production AI frameworks, MLOps practices, and real-world deployment pipelines.
▸ Collaborating on hands-on AI/ML projects under mentorship from Samsung industry engineers, with emphasis
on deploying scalable inference systems.

▸ Engineered a production-grade real-time CCTV surveillance system integrating YOLO v8 (multi-class object
detection) and InsightFace (face recognition) — achieving high-throughput live video processing across
multiple camera feeds.
▸ Built and optimised a face recognition pipeline for real-time person identification, improving production
surveillance accuracy significantly.
▸ Delivered end-to-end ML workflows across CV and NLP domains: data preprocessing, model training,
inference optimisation, and cloud deployment — all within the internship period.
▸ Converted from internship to full-time offer within 3 months based on technical performance.

▸ Developed a domain-specific chatbot using intent classification and NLP-driven response generation for
structured user queries.
▸ Contributed to a Computer Vision project pipeline and performed EDA on structured datasets to surface
actionable business insights.