Arundhati Chakraborty

San Diego,Ca 92130 · (858) 337-2121 · emailarundhati@gmail.com

A Software Engineer with a passion for Data Science and Machine Learning seeking a development position related to these areas. Versatile background with experience developing web apps (full-stack, front-end and back-end), data center and embedded software. Adept at working independently and collaborating with teams across multiple functions to resolve complex engineering problems with novel solutions.


Personal Note: US Citizen qualified for U.S. Government security clearance application

Experience

Senior Web Development

Pear Sports Labs (2018-2019)
  • Developed single-page web applications with Angular 7/8 using MVC design methods, one of the core web developers of the real-time fitness coaching apps for Pear Sports (from start until alpha release).
  • Developed using HTML5/CSS/Javascript/Angular/redux/Nodejs/Mongodb
  • Used Bootstrap, Foundation and Flexbox to enable responsive pages and optimum user experience
  • Used Agile development method, Git/SVN for version control and JIRA for defect tracking

System Software Engineer

Knuedge Inc (Deep learning Solutions) (2016 – 2017)
  • Worked on next generation data center technology to address large scale computing applications such as machine learning and data analytics
  • Developed a Java-based framework and middleware to provide core data processing services that can be used by client applications using open source gRPC Remote Procedure Call technology
  • Used RabbitMQ to implement a large scale server messaging framework to efficiently handle client RPC calls
  • Used JNA (Java Native Access) libraries to create an abstraction layer for communication with Linux Kernel Driver modules such as SPI and I2C
  • Developed middleware and APIs for managing and controlling server functions such as power supplies, temperature sensors, and cooling systems
  • Implemented memory and IO software using DMA to interact with Mellanox NPUs
  • Wrote Python scripts to interface with open-source Tensorflow APIs customized to run on Knuedge’s proprietary processors
  • Created test scripts for full-stack functional testing of system services using Python
  • Worked on continuous integration, build, test and release process using Gradle and Bamboo
  • Created customer releases using Debian packaging and Docker images

Staff Software Engineer (2009 – 2015)

Qualcomm inc.
  • Held technical lead roles in the design and development of several major 3G/4G RF chipset features for improved Receiver and Transmitter performance
  • Brought-up the UMTS features of several new modem chips for key customers (including Apple and Samsung).

Education

University of California, San Diego

M.S. in Electrical & Computer Engineering

GPA: 3.8

Bangalore University, India

B.E. in Electronics & Communications

GPA: 3.5

Technical Skills

Programming Languages & Tools
  • Data Storage and Analysis : SQL, MongoDB, SQLite, D3, Pandas, Scikit-Learn, Pyspark, Tableau, Hadoop
  • Software Languages : Python, C/C++, JavaScript, TypeScript, Java, R
  • Web Frameworks : Angular, Angular Material, React, Express, Flask
  • Web Development : TypeScript, JavaScript, Node.js, Redux, REST API Clients, HTML, CSS, Flexbox, jQuery, Bootstrap, Foundation, Postman
  • Design Tools : Adobe XD, Illustrator, InDesign , UML, Photoshop, Lightroom, Visio
  • Frameworks/Services : Spring, Junit, gRPC, JNI/JNA, RabbitMQ, Tensor Flow, Keras, Guava
  • Build and Release : Webpack, Gradle, Bamboo, Debian packaging, Docker
  • Source Control : GIT, Sourcetree, JIRA, SVN
  • Operating Systems : Linux (Ubuntu, Centos, Debian, Bash)

Data Science and Visualization Projects

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COVID-19 Machine Learning models -Based Rapid Diagnosis From Laboratory Tests

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COVID-19 – dashboard - data visualization of active, death and recovered cases of each country

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Hypothesis: glare from the setting sun has an affect on accident prevalence for westbound traffic immediately preceding sunset (30 minutes prior to sunset)

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Earthquakes Visualization in Leafletjs

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ETL-PROJECT-NYC-AIRBNB-CENSUSTRACT

Extract, Transform, Load Project to enable analysis of AirBnB listings in New York City and how that correlates with census data.

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Certifications

  • Certificate in Data Science and Machine Learning, University of California, San Diego (Extension)
  • Certificate in Web Design and Front-End Web Development, University of California, San Diego