As a passionate AI Engineer with a strong focus on machine learning, deep learning, and computer vision, I am passionate and dedicated to contributing to impactful AI solutions. I have a proven track record of developing intelligent systems that automate tasks and improve efficiency. My projects span diverse applications, including healthcare chatbots, water quality monitoring, red blood cell classification, and stock price prediction. My expertise lies in the following areas:

Key skills include:

1. Machine Learning & Deep Learning:
   • Understand key concepts including data pre-processing, feature engineering, regularization, bias and variance, evaluation metrics, and statistical concepts.
   • Proficient in implementing and evaluating algorithms like Linear/Logistic Regression, Support Vector Machines (SVM), Random Forest, and KNN.
   • Understand the neural architectures, convolution, pooling, dropout, optimization techniques, and activation functions.
   • Knowledgeable in Generative Adversarial Networks (GANs) and Recurrent Neural Networks (RNNs).
2. Computer Vision & Image Processing:
   • Experienced in image pre-processing, image enhancement, and augmentation.
   • Demonstrated expertise in image classification, object detection, and segmentation using state-of-the-art models and transfer learning.
   • Developed an automated system for the identification of abnormalities in microscopic images of blood samples obtained from Cholistani Cattle.
3. Natural Language Processing (NLP):
   • Understand major concepts like text pre-processing methods, BOW, N-Grams, word2vec, and embedding models.
   • Expertise in sentiment analysis and conversational chatbot application.
   • Experienced in integrating hugging face models and pipelines in NLP workloads.
4. Automation & Web Scraping:
   • Skilled in automating workflows using Python libraries and frameworks like Selenium and BeautifulSoup.
   • Scraped websites for data collection and worked on Twitter automation software.

Personal Attributes:

• Problem Solving: Always try to develop the best possible solutions, keeping in mind the worst scenarios that could occur for an end user or the system itself.
• Continuous Learning: My enthusiasm for exploring new technologies drives my continuous growth and adaptation in this rapidly evolving domain.

I am eager to contribute my skills and knowledge to the development of scalable AI products. I wish to be a part of a forward-thinking team that values innovation and collaboration.