Rohan Dutta

Rohan Dutta

Project Engineering Intern

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location of Rohan DuttaLos Angeles, California, United States

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  • Timeline

  • About me

    Meta Wireless Systems Engineering| UCLA | BITS Pilani

  • Education

    • Birla Institute of Technology and Science, Pilani

      2014 - 2018
      Bachelor of Engineering - BE Electrical and Electronics Engineering 8.7/10

      Activities and Societies: Nirmaan Goa BITS UFC (Ultimate Frizbee Club) C Programming, Engineering Optimization, Analog & Digital VLSI Design, Digital Design, Microprocessors and Interfacing, Communication Systems, Analog Electronics, Power Electronics.

    • University of California, Los Angeles

      2019 - 2021
      Master of Science - MS Electrical and Computer Engineering 3.81/4.0

      Complexity and Algorithms, Machine Learning in Bioinformatics, Neural Networks and Deep Learning, Large Scale Data Mining, Natural Language Processing, Reinforcement Learning, Computational Imaging, Computational Robotics, Matrix Analysis.

  • Experience

    • Texas Instruments

      Jul 2017 - Dec 2017
      Project Engineering Intern

      Worked as a part of the Physical Design Team of the CMCU (Connected Microcontroller Unit). The project goal was the implementation of Power Switch, Power Grid automation and IR drop analysis using TCL (Tool Command Language) scripting and Innovus tool commands to support new switch architecture which traditional place and route tools don’t support.

    • Indian Institute of Science (IISc)

      Jan 2018 - Jul 2018
      Research Intern

      Worked on a project titled: ”Real-Time cBMI (Cognitive Brain Machine Interface) for the enhancement of Visuospatial Attention”. The objectives of the project were:(i) To design a cBMI system with neurofeedback, using EEG signals(ii) To investigate the role of neurofeedback in enhancement of visuospatial attention.My contributions in particular were to set up the real-time system, and analyse behavioural data.

    • Positive Integers Pvt Ltd

      Sept 2018 - Jul 2019
      Data Scientist

      Designed and implemented predictive models using machine learning and deep learning techniques for classification, regression and time series events to solve real world business problems in the Fast-Moving Consumer Goods (FMCG) industry. Worked on designing an end-to-end ML pipeline for pre-processing(raw) client data, feature engineering, feature selection, model training and testing. Predictions included if a customer would purchase a product or not, and how much they would buy. Worked on implementing time-series models like ARIMA (Auto Regressive Integrated Moving Average), Exponential Smoothing and Dynamic Regressions.Optimized Neural Nets and XGBoost algorithms to obtain average classification accuracies of 96.5% and RMSE of 2.88 Show less

    • University of California, Los Angeles

      Sept 2019 - Sept 2021
      Graduate Student

      Graduated with a Master's in Electrical and Computer Engineering with a Machine Learning focus. Courses completed include: Neural Networks and Deep Learning, Large Scale Data Mining, Reinforcement Learning, Computational Robotics, Computational Imaging, Natural Language Processing and Machine Learning in Bioinformatics.

    • Meta

      Nov 2021 - Mar 2023
      Software Engineer

      As a part of the Open Wifi software group which works on developing connectivity solutions for Wifi, I have been working on software and test automation development performed on deployable hardware, managed and delivered in accordance with industry standard.

    • Meta

      Oct 2023 - now
      Wi-Fi Validation Engineer

      As a part of the Wireless Systems Engineering team, I have been working on evaluating various wireless technologies used in Meta VR headsets and collecting network KPI's for build releases. Tasks involve: regression testing, test automation and KPI metric collection.

  • Licenses & Certifications

    • Machine Learning

      Coursera
      Aug 2018
      View certificate certificate
    • Problem Solving (Basic)

      HackerRank
      Nov 2023