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Sabina Yasmin

Computer Science Engineer | M.Tech in IT | ML/DL Enthusiast | Python Developer

Bengaluru

< 1 year of work experience

Nit Raipur
Jul 202510 mosApr 2026

• Developed a 2D tree segmentation system using Mask-RCNN on manually annotated orthomosaic images, achieving 76% mAP@75% IoU for tree instance identification. • Processed 50 GB of geospatial data covering 30 sq. km with inference time of 5 hours, detecting up to 100,000 trees in forest regions. • Devised a 3D point cloud tree segmentation solution by combining mathematical models with CHM-based algorithms, achieving 70% mAP@75% IoU for 3D point cloud analysis. • Reduced memory usage by 40% and improved model accuracy by 20% through preprocessing and overlapping tree optimization techniques.

Sabina’s AI Stack

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Education

National Institute of Technology Raipur

Master of Technology, Information Technology

National Institute of Technology Raipur

Government Engineering College, Ajmer

B.tech

Government Engineering College, Ajmer

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Headline

Computer Science Engineer | M.Tech in IT | ML/DL Enthusiast | Python Developer

About

I’m a Computer Science postgraduate from National Institute of Technology Raipur with a strong foundation in Python, Data Structures and machine learning. I’ve worked on projects involving deep learning, image processing and backend systems focusing on writing efficient, scalable and clean code. My experience includes applying ML concepts like U-Net, IoU and Dice Loss to solve real-world problems. Key highlights: • Built ML models and data-driven solutions • Strong grasp of DSA and problem-solving • Experience with Python, SQL and backend logic I’m currently seeking Software Engineer / ML Engineer opportunities where I can contribute to impactful products and grow in a fast-paced environment. Open to Software Engineer / ML Engineer roles. Feel free to connect or reach out for opportunities or collaborations.

Location

Bengaluru

AI stack

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langchain

langgraph

ollama

Work experience

Student Researcher at Nit Raipur, Jul 2025 - Apr 2026 · 10 mos, • Developed a 2D tree segmentation system using Mask-RCNN on manually annotated orthomosaic images, achieving 76% mAP@75% IoU for tree instance identification. • Processed 50 GB of geospatial data covering 30 sq. km with inference time of 5 hours, detecting up to 100,000 trees in forest regions. • Devised a 3D point cloud tree segmentation solution by combining mathematical models with CHM-based algorithms, achieving 70% mAP@75% IoU for 3D point cloud analysis. • Reduced memory usage by 40% and improved model accuracy by 20% through preprocessing and overlapping tree optimization techniques.

Education

Master of Technology, Information Technology, National Institute of Technology Raipur

B.tech, Government Engineering College, Ajmer

Sabina Yasmin - Student Researcher in Bengaluru | Tal