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Rohan Ishwarkar

Rohan Ishwarkar

Machine Learning Intern

Followers of Rohan Ishwarkar7000 followers
location of Rohan IshwarkarAkola, Maharashtra, India

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  • Timeline

  • About me

    SDE 2 @Microsoft | Building AlgoZenith | CSE IIT Kharagpur

  • Education

    • Shri Dawale Junior College

      2014 - 2016
      HSC Science 92%

    • Mount Carmel High School

      2006 - 2014
      SSC School 98.6%

    • Indian Institute of Technology, Kharagpur

      2016 - 2021
      Master of Technology (M.Tech DUAL) Computer Science

      Courses: Programming and Data Structures, Algorithms I, Algorithms II, Software Engineering, Probability and Statistics, Computer Organization and Architecture, Operating Systems, Computer Networks, Database Management System, Digital Speech Processing, Cryptography and Security.Machine Learning, Deep Learning, Reinforcement Learning, Information Retrieval, Educational Data Analytics, Artificial Intelligence, Social Computing, Image Processing

  • Experience

    • Kolkata Police Headquarters

      May 2018 - Jul 2018
      Machine Learning Intern

      • Worked on speaker recognition using MFCC feature extraction.• Made a Deep Learning model to identify the voice of criminal. Finally made a program toseparate the voice of a criminal from all mixed up audio files which helped the authorities tolisten to the voice of that particular criminal.• Improvisation of Sanjog App of Kolkata Police.

    • Boston Consulting Group (BCG)

      Feb 2019 - Mar 2019
      App Development Intern

      • Made a Salesman Calculator in Android and customized it as per the Company’srequirements.• The app was launched and is currently used by over 10000 employees of EurekaForbes.• Designed another app (hygiene monitoring device tracker) that encompasses featureslike live location, device data update and alerts in real time.

    • Indian Institute of Technology, Kharagpur

      Mar 2019 - Mar 2019
      Open Soft Development

      • Designed an NLP based Search Engine for browsing past cases (Supreme Court) usefulfor Lawyers.• Document indexing using whoosh and filtering relevant results using BM25 searchingalgorithm.• Search time under 2 seconds and we were awarded gold thus acknowledging the qualityof our search results.

    • Capillary Technologies

      May 2019 - Jul 2019
      Machine Learning Intern

      • Worked on Automatic Speech Recognition in Noisy Environment using Kaldi SpeechRecognition Toolkit.• Solved the problem of Indian Accent using data scrapped from youtube instead ofCommonVoice and Librispeech datasets.• Used GMM based models for alignments and Kaldi TDNN Chain Model as AcousticModel.• Noise augmented data at various SNR and decibel ratios to increase robustness.• Used SpecAugment to counter case of frequency and phoneme loss.

    • Singularium Technologies

      Nov 2019 - Jan 2020
      App Development Intern

      • Developed a Barcode based retail POS app for small shops with features such as automated billing, printing.• Automatic syncing of local and remote databases at regular intervals, activating coupons based on transactions

    • AlgoZenith

      Apr 2020 - now
      Co-Founder

    • Visa

      May 2020 - Jul 2020
      Software Development Intern

    • Microsoft

      Jun 2021 - now

      • Software Engineer II

        Sept 2023 - now

      • Software Engineer

        Jun 2021 - Aug 2023

    • Microsoft

      -
      Software Engineer II

  • Licenses & Certifications