
Rohan Dutta
Project Engineering Intern

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About me
Meta Wireless Systems Engineering| UCLA | BITS Pilani
Education

Birla Institute of Technology and Science, Pilani
2014 - 2018Bachelor of Engineering - BE Electrical and Electronics Engineering 8.7/10Activities 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 - 2021Master of Science - MS Electrical and Computer Engineering 3.81/4.0Complexity 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 2017Project Engineering InternWorked 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.
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Indian Institute of Science (IISc)
Jan 2018 - Jul 2018Research InternWorked 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 2019Data ScientistDesigned 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 2021Graduate StudentGraduated 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 2023Software EngineerAs 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 - nowWi-Fi Validation EngineerAs 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
- View certificate

Machine Learning
CourseraAug 2018 
Problem Solving (Basic)
HackerRankNov 2023
Languages
- enEnglish
- beBengali
- hiHindi
- taTamil
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