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Hello All !! Welcome to my tiny corner on the web. Previous Experience: I worked as an NLP Engineer at Circlebase (Intelligent Health Outcomes), where I developed pipelines and models to identify patient-related entities, social determinants of health, drug relations, and adverse drug events. I also streamlined processes through executable files, integration with Django-based applications, and Dockerization of products.
I graduated with a Master's degree in Machine Learning and Computing under Department of Mathematics from the Indian Institute of Space Science and Technology. My research interests lie in the intersection of Machine Learning optimization, Computer Vision, Natural Language Processing, and Theoretical Computer Science. Prior to this, I spent 4 amazing years at Jabalpur Engineering College, earning a Bachelor's in Information Technology. Current Expertise: RAG Systems, Invoice Entity Recognition, NLP2SQL, Vision-Language Models (VLM) Fine-tuning, Function Calling, Quantized Model Serving with LlamaCPP & ExllamaV2, Docker, FastAPI, AWS |
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Initially the model assumptions were tested on the diabetes dataset and applied Least Angle Regression to generate multiple models |
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Expectation Maximization on Probabilistic Principal Component Analysis |
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