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Explosion MLE role
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_includes/history.html

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@@ -5,28 +5,31 @@ <h2 id="Experience">Experience</h2>
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</div>
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<section id="cd-timeline" class="cd-container">
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<div class="cd-timeline-block">
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<div class="cd-timeline-img cd-location"><img src="../assets/img/clipboard-with-list.svg" alt="board" />
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<div class="cd-timeline-img cd-location"><img src="../assets/img/explosion_logo_white.svg" alt="explosion" />
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</div>
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<div class="cd-timeline-content">
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<h2 class="story-heading">Senior Data Scientist</h2>
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<h3 class="story-heading"><a href="https://www.episource.com/" target="_blank">Episource LLC</a></h3>
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<p>Leading team of Data Scientists and Subject Matter
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Experts (SME) to augment medical coding knowledge into NLP engine using clinical rules component and NLU.
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</p><span class="cd-date">April 2019 - Current</span>
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<h2 class="story-heading">Machine Learning Engineer</h2>
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<h3 class="story-heading"><a href="https://explosion.ai" target="_blank">Explosion</a></h3>
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<p>Building Prodigy Teams and open source contribution through spaCy and related Explosion open source projects.
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</p>
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<span class="cd-date">May 2022 - </span>
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<div class="cd-timeline-block">
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<div class="cd-timeline-img cd-location"><img src="../assets/img/clipboard-with-list.svg" alt="board" />
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<div class="cd-timeline-img cd-location"><img src="../assets/img/clipboard-with-list.svg" alt="healthcare" />
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<h2 class="story-heading">Data Scientist</h2>
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<h2 class="story-heading">Lead Data Scientist</h2>
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<h3 class="story-heading"><a href="https://www.episource.com/" target="_blank">Episource LLC</a></h3>
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<p>✦ Built Clinical Named Entity Recognition NLP engine right from data annotation at scale to deploying
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to
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production.
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<p>✦ Lead a NLP Divison with a team of Data Scientists and Subject Matter
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Experts (SME) to augment medical coding knowledge into NLP engine using clinical rules component and NLU.
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</p>
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<p>✦ Built a Clinical NLP engine comprised of - NER, domain-specific rules based components, NLI modules - right from data annotation at scale to deploying
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to production.
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</br>✦ Built Scalable Data Processing pipeline using Apache Spark on
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AWS Stack to process thousands of charts on daily basis.</p><span class="cd-date">Dec 2017 - March
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2019</span>
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AWS Stack to process thousands of charts on daily basis.</p>
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<span class="cd-date">Dec 2017 - April
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2022</span>
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