Haleema Ramzan
NUST
· 2022
Email
hramzan.bscs18seecs@seecs.edu.pk
Phone
—
GitHub
—
Academic
Program
BSCS
CGPA
—
Year
2022
Education
SEECS, NUST
Address
Roots IVY
DOB
—
Career
Current role
Machine Learning Engineer
Target role
—
Skills
Machine Learning, Computer Vision, NLP, Time series Forecasting, GANs, Python, R, Javascript, C/C++, PyTorch, OpenCV, Tensorflow, Scikit-learn, Research Work, Team work, collaboration
Interests / quote
Machine Learning Engineer, trained in Computer Vision and NLP during my time in TUKL and Strada Imagining. Excited to apply my 2+ years of experience in a research and development environment to provide computer vision solutions.
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
This is what powers semantic search.
Haleema Ramzan hramzan.bscs18seecs@seecs.edu.pk https://www.linkedin.com/in/haleema-ramzan-73584422b Machine Learning Engineer, trained in Computer Vision and NLP during my time in TUKL and Strada Imagining. Excited to apply my 2+ years of experience in a research and development environment to provide computer vision solutions. 2022 BSCS SEECS, NUST Roots IVY 2017 A Levels 2015 O Levels Roots IVY Strada Imaging, UK Aug 2021 Present Machine Learning Engineer. Working with semantic segmentation and recognition work in road infrastructure assement product development. Jun 2020 TUKL AI Lab, SEECS, NUST Apr 2021 Machine Learning Research Assistant. Focused on courses to develop knowledge, and worked on steering angle prediction model to generate angles from front images. Machine Learning Computer Vision, Time series Forecasting, GANs. PyTorch, OpenCV, Tensorflow, Scikit-learn Frameworks Languages Python, R, Javascript, C/C++ Research Work, Team work, collaboration Other Fusion of Knowledge and Data for Time Series Forecasting Sequential Monte Carlo Tracking of Road Cracks Top 3 GPA award granted in 4 semesters Sundas Foundation Blood Donation center volunteer work
AI enrichment
Haleema Ramzan is a Machine Learning Engineer with over two years of experience specializing in computer vision and semantic segmentation for road infrastructure assessment. She holds a BSCS from SEECS, NUST, and has research experience in time series forecasting and steering angle prediction.
Skills (AI)
["Machine Learning", "Computer Vision", "Semantic Segmentation", "NLP", "Time Series Forecasting", "GANs", "PyTorch", "OpenCV", "Tensorflow", "Scikit-learn", "Python", "R", "Javascript", "C/C++"]
Status: ai_done