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Hi! I'm Suneeta Mall!

Twitter Follow Linkedin: suneeta-mall GitHub followers website gscholar


Suneeta is passionate about solving real-world problems with engineering, data, science, and machine learning. She's a PhD in applied science with a computer science and engineering background. She has extensive distributed, scalable computing and machine learning experience from IBM Software Labs, Expedita, USyd, Nearmap and more recently harrison.ai.

She currently leads the AI Engineering division of harrison.ai, a clinician-led artificial intelligence medical technology company tackling some of the biggest issues in healthcare causing inequitable diagnosis today.

She believes in lifelong learning and is passionate about knowledge sharing. She is also an author for O'Reilly and writes technical blogs in her spare time.

A little more about me...

const anmol = {
    pronouns: "She" | "Her",
    code: ["GoLang", "Python", "Java", "R", "Scala"],
    askMeAbout: ["Deep Learning", "Machine Learning", "Kubernetes", "Data", "Software Engineering", "Software Architecture"],
    technologies: {
        machineLearnig: ["Python Scientific toolkits", "PyTorch", "Tensorflow"],
        backEnd: ["GoLang", "Python",  "Java", "R", "Scala"],
        devOps: ["AWS", "Docker🐳", "Kubernetes", "Terraform", "Packer"],
        databases: ["Postgres", "Snowflakes", "Mongo"],
        streaming: ["Kafka"]
    },
    domains: ["Distributed Systems", "Deep Learning", "Machine Learning", "GIS", "Computer Vision", "Data"],
    currentFocus:  ["Deep Learning", "Machine Learning", "Computer Vision", "Data"],
    funFact: "There are 2 hard problems in computer science: cache invalidation, naming things, and off-by-1 errors!"
};

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