I am a passionate and driven Machine Learning and Deep Learning Engineer, currently working as a Chegg Expert at Chegg India, where I help students with their technical queries and assignments in Python, ML, and DL. I am also an Advisory Board Member at Next Tech Lab, a student-run research lab that fosters innovation and social impact through AI and ML. There, I mentor and guide students on various conversational AI applications and projects, using RASA, Chatbots, and AWS.I am pursuing a Master of Science in Computer Science at University of Maryland Baltimore County, with a focus on Tensorflow and Deep Learning. As part of my academic research, I am working on the Student Concentration Analysis model, a novel AI-based approach for pinpointing learners' emotional states and engagement levels during classroom lectures, using CNN models for emotion detection and eye-gaze analysis. I have also published a paper on this topic in IEEE. Additionally, I have completed multiple online courses and certifications in AWS, MLOps, Machine Learning, Deep Learning, PyTorch, Psychology, and Consumer Behaviour, to enhance my skills and knowledge in these domains.My goal is to explore opportunities in the field of Artificial Intelligence and Machine Learning, and apply my technical and analytical skills to create positive social impact. I have a strong proficiency in programming languages like Python, Java, and C++, as well as expertise in web development frameworks such as Flask, Scikit-Learn, Tensorflow, Open Journal Systems, Docker, and MLOps. I have also developed and worked on various technical and research projects, such as iSEEDS, Commodity Price Prediction, Sentimental Analysis, Chatbot, Price-bot, Mail-bot, Hotel Management System, and E-commerce website. I have won several awards and recognitions for my work, such as the BrainTech Championship 2020 Zonal Winner at IIT Hyderabad and $5000 in BuiDL for WEB3- 48-Hour National Level Hackathon. I am a self-motivated, organised team player with excellent communication skills and quick visual-learning capabilities, and I love challenging tasks.