PROFILE SUMMARY

I am an innovative AI Engineer and Researcher with a robust background in developing and optimizing machine learning algorithms for real-world problem-solving. Holding an MS in Computer Science with a 3.68 CGPA, I specialize in model interpretability, Deep Learning, and data analysis, evidenced by my research on diabetic patient analysis. My professional journey includes serving as a Junior Lecturer, where I honed my skills in academic mentorship, curriculum development, and supervising student research projects. Proficient in Python, TensorFlow, and PyTorch, I have successfully executed complex projects ranging from healthcare diagnostics like skin cancer detection to NLP-based fake news detection. I combine technical expertise in Computer Vision and NLP with strong communication skills to drive advancements in intelligent systems. 

RESEARCH AREAS / INTERESTS

1. Machine Learning
2. Computer Vision
3. Natural Language Processing