*** ******* ******,

San Jose

CA *****

SW E T H E E N D R A .T

631-***-****

ac8ilp@r.postjobfree.com

www.linkedin.com/in/swetheendra/

EDUCATION

MS in Computer Science Stony Brook University, New York August 2017 – December 2018 GPA: 3.58/4. Course Work: Fundamentals of Data Science, Operating Systems, Probability & Statistics, Analysis of Algorithms, Artificial Intelligence, Network Security, Computer Networks, Database. WORK EXPERIENCE

Associate Software Engineer ShoreTel, Bangalore June 2016 – July 2017

• Worked on architecture conversion of Server from 32bit to 64bit. Porting was done to improve efficiency and stabilize Server code. Ported Server and applications, fixed application crashes, operated on production issues, triaged defects and bugs in Premise and Multitenant Cloud Environments.

• Developed a Dashboard that operated with PBX server, clients and DB. It tracks and monitors user activities, retrieves call data information and metrics, feeds data to the user interface.

• Implemented a project that dealt with choking the server with high application traffic. Optimized the code by resolving memory leak that caused server to crash under extensive load.

• Tools and Technologies used: C++, Python, GNU Debugger, UMDH, WinDbg. PROJECTS

SBUNIX (C, GCC Inline Assembly) Operating Systems, AUG 2017 – DEC 2017

• Developed Cooperative, Multi-tasking Operating System empowered with its own shell supporting Memory Subsystem, Process Subsystem, User Subsystem, I/O Subsystem. Exploratory Data Analysis in Python Data Science, AUG 2018 – SEPT 2018

• Analysis revolved around predicting the fare of a taxi ride given a pickup and a drop off location using Linear Regression and Decision Trees.

Machine Learning to Estimate TCP RTT (Python Tensor Flow) Computer Networks, FEB 2018 – MAY 2018

• Developed Offline RTT estimator that estimates TCP packet’s RTT and RTO values using Recurrent Neural networks paradigm. Compared performance of this algorithm over 3 different TCP versions by replacing current RTT estimator code in Linux Kernel.

Ranking of Academic Papers (Python) Data Science, OCT 2018 – DEC 2018

• Developed a ranking metric to evaluate academic papers incorporating features such as citation count, citation sentiment, quality of conference, paper influence over heterogenous networks. Virtual Reality Video Streaming over MPTCP (C) Advanced Project, SEPT 2018 – DEC 2018

• Project goal is to utilize MPTCP multiple sub flows to improve 360 video user quality of experience. Implemented scheduler in the kernel to tackle Head of Line Blocking giving better QOE for user. TCP Dump (C++) Network Security, SEPT 2017 – OCT 2017

• Implemented TCP Dump application to capture packets from Ethernet interfaces, analyze packets, apply random filters to monitor packets flowing across network. Los Angeles Payroll Dataset Analysis (Python) Probability & Statistics, APR 2018 – MAY 2018

• Analyzed Correlation between Los Angeles Payroll Dataset and Los Angeles Crime Dataset and used Hypothesis Testing to infer useful insights in data. Built Linear Regression model to predict Annual salary of employees.

Data Integration and Model Building (Python) Data Science, SEPT 2018 – OCT 2018

• Project is based on Google Analytics Customer Revenue prediction, predicting how much GStore customer will spend. Developed a probability function predicting likelihood of a user buying product from store. DNS Resolver (Python) Computer Networks, FEB 2018 – MAR 2018

• Implemented Dig tool and DNS Resolver that uses DNSSEC Protocol. PB Proxy (C) Network Security, OCT 2017 – NOV 2017

• Developed Proxy that adds extra layer of encryption towards publicly accessible TCP networking services.

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