In 2018, I started my Master's in Data Science with the belief that AI will revolutionize the way humans live and work and data is at the core of it, and here we are where we have started seeing the impact of AI on our lives.I am glad to be a part of this change where we teach machines to see, understand, and respond intelligently. Over the past five years, I’ve worked on building NLP and Computer Vision solutions that solve real-world problems, from creating smarter chatbots to developing high-performance segmentation models. Every project has been an opportunity to learn, innovate, and contribute to the growth of AI.On the NLP side, I have worked with LangChain, LLM agents, and Retrieval-Augmented Generation (RAG). My expertise spans fine-tuning classification and generation models, and I’ve also developed streaming speech-to-text and text-to-speech solutions for real-time processing. On the Computer Vision side, I have worked on object detection and tracking systems, alongside implementing advanced segmentation techniques like deep image matting and salient object detection. Deployment is another area of strength, where I’ve leveraged tools like TensorRT, NVIDIA Triton Server, and Docker to create scalable and efficient AI applications.Also proud to contribute to the open-source community. I have worked on projects for KerasCV, Keras.io, and NVIDIA, adding advanced models and making research papers more accessible. Sharing knowledge is a big part of what drives me, and it's rewarding to see others benefit from these contributions.That’s it, Last I want to say I am always ready to learn, help, and guide others. AI is a field of endless possibilities, and I am thrilled to play a role in shaping its future.