Venkata Sai Rahul Gadi
Education
Stony Brook University
Aug 2016 - Expected Dec 2017
Masters in Computer Science
CGPA: 3.5/4
National Institute of Technology Calicut
July 2012 - May 2016
Bachelor of Technology in Computer Science
CGPA: 8.54/10
Skills
Proficient
- Python • C • C++
- Apache Spark • Scala
- PHP • HTML • SQL
- MySQL • MongoDB
- Oracle-Parallel Graph Analytics • Green-Marl
- Assembly • Lex • Yacc • Shell
- KNIME
Familiar
- Java • JavaScript
- NumPy • SciPy • scikit-learn
- Twitter API - twython, tweepy
- networkx • Apache Graphx • Giraph
Graduate Courses
- Asynchronous Systems
- Big Data Analytics
- Graph Analysis
- Artificial Intelligence
- Parallel programming models
- Operating Systems
- Computational Geometry
- Visualization
- Analysis of Algorithms
UnderGraduate Courses
- Distributed Systems
- Data Mining
- Pattern Recognition
- Natural Language Processing
- Operating Systems + Practicum
- Compilers + Practicum
Experience
RESEARCH ASSISTANT
MAY 2017 - Current
- Working on the project - Algorithm Diversity for Resilient Systems.
- Measure software diversity by logging data accesses of a software at run-time and compare the logs quantitatively and visually.
- Under Supervision of Dr. Scott Stoller.
- Areas: Distributed Systems, Compilers, Software security.
COMPAS LABS | RESEARCH ASSISTANT
Jan 2017 - Current
- Implement and benchmark graph algorithms in multiple graph frameworks (Oracle PGX, Apache GraphX, Graphlab/Powergraph) and run them on huge datasets to study ease of implementation, performance, and scalability.
- Under Supervision of Dr. Mike Ferdman.
- Areas: Graph Analysis, Big Data.
SESAME CENTRE | RESEARCH INTERNSHIP
May 2015 - Jul 2015
- Worked on a Project - Data Collection and Annotation of Tweets.
- Key responsibilities included identifying Singaporean users, differentiating bots and human users, and sentiment analysis of tweets.
- Areas: Big Data, Pattern Recognition.
Graduate Projects
Visual Data Analytics | Visualization
Jan 2017 - April 2017
- Implemented important tasks of Visual Data Analytics - Clustering, Sampling, Dimension Reduction with the help of visualization using interactive matrix scatter plots, histograms etc.
SCALABLE CONCURRENT POLICY EVALUATION | ASYNCHRONOUS SYSTEMS
Sept 2016 - Dec 2016
- Implemented Scalable and Secure Distributed History-Based Access Control Policy Evaluation and later improvised it using Multiversion concurrency control.
PER-PROCESS SYSTEM CALL | OPERATING SYSTEMS
Oct 2016 - Dec 2016
- Developed a Linux kernel-based system to support per-process system call vectors.
- This required to change the main kernel code as well as develop some code using modules.
UnderGraduate Projects
PREDICTING DESTINATION OF TAXI RIDES | MACHINE LEARNING
Sept 2015 - May 2016
- Built a predictive framework that is able to infer the final destination of taxi rides based on their initial partial trajectories using Markov Models.
ERASURE CODING | DISTRIBUTED COMPUTING
Sept 2015 - Nov 2015
- Studied methods on improving read, write, update and search performance in distributed storage systems from different researchers.
MANAGEMENT INFORMATION SYSTEM (MIS) | SOFTWARE ENGINEERING
Jan 2015 - May 2015
- Assisted in revision of Software Requirements Specification for MIS of NIT Calicut and studied pros and cons of cloud and traditional deployment for MIS.
A TWO-PASS COMPILER | COMPILERS PRACTICUM
Jan 2015 - May 2015
- Implemented a two-pass compiler for Simple Integer Language for Simple Integer Machine target machine.
- Using Lex and Yacc implemented various compiler strategies like register allocation, pass by value and reference, runtime call stack management and type checking.
EXOS | OPERATING SYSTEMS PRACTICUM
Aug 2014 - Nov 2014
- Implemented the kernel for a custom operating system called EXperimental Operating System (EXOS), which included design and implementation of various interrupts and system calls (namely fork, exec, etc.).
- Implemented various operating system concepts such as scheduling, virtual memory, file management and process management.