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Chandan Akiti

@chandan047

Master of Science in Computer Science

United States

About

Current

Pennsylvania State University

Education

Pennsylvania State University

More about me

Graduate student at Penn State University majoring in Computer Science. I am passionate about building robust intelligent systems. I have 3 years of Software Development experience as a Backend Engineer and 2 years of research experience in the field of Computer Vision and Natural Language Processing.

Badges

Problem Solving

Verified Skills

Certificate: Problem Solving (Basic)

Verified

Work Experience

  • Graduate Research Assistant

    Pennsylvania State University | January 2020 - Present

    Goal-Oriented Information Extraction in Spoken Dialogue Systems ∠ Developed a novel method1 to extract frame-semantics related to information disclosure in conversations system. ∠ Trained semi-supervised adversarial model ensembles for Reddit text classification.

  • Software Developer

    Samsung | June 2015 - July 2019

    Lead Engineer | Healthcare AI (Research) | Vision Intelligence Team Apr 2018 - Jul 2019 ∠ Developed remote health monitoring algorithms for Samsung Robot using Computer Vision, Signal Processing. ∠ Visual PPG : Developed a novel algorithm for heart signal estimation using temporal tracking of skin-clusters in face video. ∠ Implemented classification models for arrhythmia detection using Visual PPG data collected from 250 subjects. #### Project: Fashion Recognition | Vision Intelligence Team Jun 2017 - Mar 2018 ∠ Developed a live fashion recommendation system for E-commerce application in Samsung Smart TV. ∠ Trained Faster R-CNN with contrastive loss for recognizing clothing of 11 classes with a 45% recall @ top-5 retrieval. ∠ Implemented a “Street Image to In-Shop” clothing retrieval deep learning framework. ∠ Integrated the clothing retrieval framework to Samsung TV Content Recognition system deployed on AWS. #### Project: Automated Content Recognition (ACR) | Data Intelligence Team Jul 2015 - May 2017 ∠ Developed a dashboard monitoring system for ACR Infra using Node.js and NGINX API. ∠ Optimized the Kafka-Cassandra pipeline and ElaticSearch query templates to reduce latency by 25x. ∠ Obtained a reduction of over 40% in the total ACR network traffic by implementing Redis caching module. ∠ Awarded Best Employee of the Month for facilitating rapid deployment using AWS CloudFormation in US region.

Education

  • Pennsylvania State University

    Computer Science & Engineering, MS | August 2019 - Present

  • IIT MADRAS

    Computer Science and Engineering, B.Tech | June 2011 - May 2015

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