I'm a Computer Vision Engineer with a background in data science and AI, driven by a passion for using technology to solve real-world problems. I specialize in image analysis, deep learning, and full-stack deployment of CV models.
Currently focused on:
- Building and deploying CV applications
- Learning MLOps, FastAPI, and backend development
- Exploring Robotics and AI in healthcare
- Languages: Python, SQL
- Computer Vision: OpenCV, YOLO, Roboflow, TensorFlow, PyTorch
- Machine Learning: Scikit-learn, XGBoost, classification & regression models
- Data Science Tools: Pandas, NumPy, Matplotlib, Seaborn, Plotly
- Web & Dev Tools: FastAPI, Docker, Git, Jupyter, Colab
- Others: Microsoft Excel, Notepad++
- Fast Learner & Self-Starter
- Analytical & Critical Thinking
- Problem Solving
- Team Collaboration
- Creative Approach
- Adaptive to New Challenges
- Languages: Python
- CV & ML: YOLO, OpenCV, PyTorch, TensorFlow, Scikit-learn
- Dev Tools: Docker, FastAPI, Git, Linux
- Certifications:
- IMT – Machine Learning & Deep Learning
- Harvard CS50 – Python Programming
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Ricd Detection Model Detecting Diffrent classes of rice with CNN arvhitavture and over 98% accuracy.
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Brain Tumor Detection Detecting Brain Medcial images using custom CNN model and MobilenetV2 with over 95% accuracy.
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Viechle Detection| YOLO Detecting diffrent classes of viechles using YOLO11 for Traffic managment usages.
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University Ranking Analysis
Analyzed and visualized global university rankings with insights on education trends. -
Market Analysis (NYA Index)
Performed data exploration and visualization of NYA stock market patterns.
- API development with FastAPI
- MLOps fundamentals: Docker, GitHub Actions, CI/CD
- NLP & LLMs (upcoming focus)
- AI for Healthcare applications
- Computer Vision
- IoT & Automation
- Music & Singing
- Psychology & Behavioral Science
- Books, Cinema, Painting