About Me

I am a passionate and innovative Junior AI Engineer with a strong background in machine learning, deep learning, and natural language processing. With a B.Tech in Mechanical Engineering and hands-on experience at Innovation Incubator Advisory, I have successfully developed and implemented various AI solutions, including:

• Document extraction pipelines [combination of rule based and CNN models]
• Custom NER models
• RAG systems

My expertise spans across multiple ML frameworks such as TensorFlow, PyTorch, and spaCy, and I’m proficient in cloud technologies like AWS and Docker. I have a proven track record of improving operational efficiency and achieving high accuracy rates in production environments.

I’m particularly interested in pushing the boundaries of AI applications, as demonstrated by my personal projects:

• Image Classifier: A Python package for effortless image classifier construction
• Image Background Removal: Implementing U2NET architecture for background removal
• Self-Discover Framework: A meta-prompting method to streamline prompt engineering for LLMs

My work with reinforcement learning models and fine-tuning diffusion models showcases my curiosity and ability to explore cutting-edge AI techniques.

As a problem-solver and continuous learner, I’m always eager to take on new challenges in the field of AI and contribute to innovative solutions that make a real-world impact. You can find more about my work on my GitHub and connect with me on LinkedIn.