Presentation
I have hands-on experience in:
Machine Learning & Deep Learning (model training, evaluation, and optimization)
Computer Vision (object detection, image processing, dataset preparation)
Python Development (automation, data analysis, ML pipelines)
Research & Academic Projects (thesis work, model evaluation, experimentation)
I am comfortable working with real-world, imperfect datasets, handling challenges such as class imbalance, limited data, noisy annotations, and performance bottlenecks. I focus on writing clean, maintainable code, producing clear documentation, and delivering results that are both technically sound and practical.
I have also built interactive projects such as 2D and 3D games using OpenGL (PyOpenGL), demonstrating strong problem-solving skills, mathematical understanding, and system design.
What You Can Expect
Clear communication and regular progress updates
Well-structured, reproducible solutions
Honest assessment of feasibility and limitations
Commitment to deadlines and quality
I am open to short-term tasks, long-term collaborations, research support, and prototype development.
