TITHY SAHU

3387 Computer Sciences
1210 W. Dayton Street, Madison, WI 53706
tithys [at] cs.wisc.edu
tsahu [at] wisc.edu

Biography

I graduated from the University of Wisconsin-Madison in the year 2016 with a Master's degree in Computer Sciences.
I majored in Computer Science and Engineering from National Institute of Technology Rourkela, India as an undergraduate(2008-12).
I am working at IBM Watson and Cloud as a software developer in cloud network services organization in San Jose, CA. Previously, I worked at Oracle America(2016-17) and Microsoft India(2012-14).

Courses

Spring 2016	CS 736: Advanced Operating Systems CS 642: Computer Security
Fall 2015	CS 838: Big Data Systems CS 784: Data Science
Spring 2015	CS 740: Advanced Computer Networks CS 760: Machine Learning CS 564: Database Management Systems
Fall 2014	CS 640: Computer Networks CS 537: Operating Systems

Teaching Assistant

CS 302: Introduction to programming: Java	Fall 2015, Spring 2016
CS 368: Learning a new programming language: C++	Fall 2014, Spring 2015

Research

Implementation and study of 'Sparrow low latency scheduler in a geo-distributed setting' under Prof. Aditya Akella as a part of Big Data Systems/Cloud Computing course.

Management Plane Analytics under Prof. Aditya Akella as a part of Advanced Computer Networks course.

Data Science project on 'Entity Matching' under Prof. AnHai Doan as a part of Data Models and Languages course.

Projects

Big Data Systems	Mapreduce and Tez: Running benchmark workloads on Apache Hive atop MR and Tez to understand and tune the systems Spark: Running benchmark workloads on Apache Spark and Spark SQL, writing native spark queries using RDDs Storm, GraphX, MLlib: Developing and running streaming, graph processing and machine learning applications using Apache Storm, GraphX and MLlib
Computer Networks	Router Data plane and Control plane: IP forwarding, ICMP generation, RIP operation Software Defined Networks (SDN): Layer-3 routing application and Distributed load balancer application
Operating Systems	Virtualization: CPU - Modification in xv6 kernel scheduler implementing FIFO to a Ticket-based lottery scheduler Memory - alloc.h like library + modifications in memory structure of xv6 kernel Concurrency: multi-threading a web server + enabling multi-threading in xv6 kernel Persistence: Mirroring in xv6 file system
Machine Learning	ID3-like Decision tree learner for classification Bayesian network learning: Naives Bayes and TAN Bayes Kaggle Challenge: Bike Sharing Demand Problem (description)

Computer Sciences | UW Home

Feedback or content questions: send email to "tithys" at the cs.wisc.edu server
Technical or accessibility issues: lab@cs.wisc.edu
Copyright © 2002, 2003 The Board of Regents of the University of Wisconsin System.