Pranshu Malviya

MS Student at IIT Madras


Teaching Assistant at IIT Madras

Chennai, Tamil Nadu, India

January, 2019 - December, 2021

  1. Practical Machine Learning with Tensorflow (NPTEL)

    Instructors: Dr. Ashish Tendulkar (Google), Prof. Balaraman Ravindran (IIT Madras)

  2. Big Data Lab (Dept. of CSE, IIT Madras)

    Instructor: Prof. Balaraman Ravindran (IIT Madras) and Prof. Arun Rajkumar (IIT Madras).

  3. Reinforcement Learning (NPTEL)

    Instructor: Prof. Balaraman Ravindran (IIT Madras)

Project Associate at RBCDSAI, IIT Madras

Chennai, Tamil Nadu, India

ADVISOR: Prof. Balaraman Ravindran (Dept. of CSE, IIT Madras)

June, 2018 - December, 2019

Collaboration: Applied Materials

  • The project is based on exploring and understanding the implicit states that can be identified from semiconductor fab manufacturing process data. This work essentially touches domains like dynamic bayesian networks and deep learning etc. More recently, it involves score-based structure learning and attention-based causal discovery.

Internship at RISE-Lab, IIT Madras

Chennai, Tamil Nadu, India

January, 2018 - April, 2018

  • A research project on parameter tuning of Apache Hadoop using Bayesian Optimization and Deep Learning to improve overall performance.
  • Comparing advantages of Apache Spark, Hadoop and Mesos in big-data environments and benchmarking them on AWS by setting up Ambari cluster.

Summer Project on Graph database using ArangoDB

Indore, Madhya Pradesh, India

ADVISOR: Mr. Anil Sharma (Founder:

May, 2017 - June, 2017

  • Built a generic api for miscellaneous json data for graph visualization with ArangoDB.
  • Discovered new relationships in graphDB using ArangoQL.
  • Performance testing of ArangoQL using RESTful api and Spring-boot with Apache JMeter.
  • Check this medium blog for more details.

Project Trainee at Winsoft Technologies

Pune, Maharashtra, India

May, 2016 - July, 2016

  • Built a Library Management System based on SQL implemented with Java and JSP/Servlet.
  • Completed the training program on Data Modeling, Spring Framework, AngularJS, Core Java with object oriented programming.
  • Conducted weekly sessions on Database Management Concepts, Normalization techniques, UML and Coding conventions.