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Computer Code Programming
Classification
Bounding Box
Text Generation
Object Detection
RLHF
Fine-tuningI have a lot of hands-on experience working directly with AI models, mostly focusing on fine-tuning LLMs and building smart workflows with them. A big part of what I do involves preparing and cleaning up data to make sure these models actually understand what they are supposed to do. For example, when building an OCR tool for handwritten documents, I spent a lot of time checking the model's outputs, finding where it messed up, and cleaning the data to make it more accurate. Because I also have a strong background in competitive programming, I’m really good at looking at AI-generated code and spotting logic bugs or edge cases that the model missed. I enjoy the process of testing these models, finding their weak points, and working to make them smarter and more reliable.
I worked on building an AI engine to digitize handwritten documents. A major part of my role involved data labeling, validation, and preprocessing to teach the model how to read different handwriting styles accurately. I regularly checked the model's outputs, identified errors, and labeled the data correctly so the system could learn from its mistakes and improve.
B.Tech in computer science and engineering
I have worked as AI Engineer in my own Startup
