C:/portfolio/about/Lahari:

Lahari.age()

Lahari.location()

"London, UK"

Lahari.education()

"MSc Artificial Intelligence and Machine Learning student at University of Birmingham."

Lahari.skills()

["PyTorch", "TensorFlow", "Scikit-learn", "OpenCV", "Keras", "NLTK", "SpaCy", "BERT", "GPT", "Pandas", "NumPy","Weights & Biases", "AWS", "Google Cloud", "Prompt Engineering", "OpenAI", "Claude","Geocoders"]

Lahari.experience()

Scrub_AI: {
    "period": "2020 - present",
    "projects": [{
        {"Enhance AI models: {
            "Key Achievements": "Focused on optimising and enhancing the performance of existing AI models.",
            "Technologies Used": ["Python", "Scikit-learn", "Pytorch","Weights & Biases","s3"]
        }
        },
        "Exploring Large Language Models (LLMs)": {
            "Key Achievements": "Investigated the capabilities and applications of LLMs, improving the performance.",
            "Technologies Used": ["GPT-4", "Claude", "Prompt Engineering"]
        }
        },
        {"Setting Up Pipelines for LLMs": {
            "Key Achievements": "Developed scalable pipelines, integrated LLMs into inference.",
            "Technologies Used": ["Open-source LLM models","Python"]
        }
        },
        {"Streamlining Data Labelling Pipelines": {
            "Key Achievements": "Enhanced efficiency and accuracy of data labelling processes, implemented Label Studio.",
            "Technologies Used": ["JavaScript", "React", "Label Studio","Python"]
        }
        },
}

University_of_Birmingham: {
    "period": "2018 - 2020",
    "projects": [{
        "Medical Imaging and Diagnostics": {
            "Key Achievements": "Applied AI techniques to medical imaging, improved diagnostic accuracy by 15%.",
            "Technologies Used": ["OpenCV", "Keras", "TensorFlow","PyTorch", "Scikit-learn"]
        }
        },
}

Lahari.Display(Projects)

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