Vignesh Ganapathiraman Email & Phone Number

Kirkland, Wa, Us

Sunnyvale, California, Us

Seattle, Wa, Us

Minneapolis, Mn, Us

Minneapolis, Mn, Us

Studied and developed algorithms for handling "domain shift" in input data given to Machine Learning models (computer vision). The problem is popularly known as "Domain Adaptation".

Chicago, Il, Us

Seattle, Wa, Us

Face recognition: Continued work from my previous internship to develop discriminative embeddings for face recognition. The internship work resulted in a novel robust loss function, inspired by metric learning.

Chicago, Il, Us

Teaching Assistant for Introduction to Machine Learning (CS 412) and Advanced Machine Learning (CS 512).

Seattle, Wa, Us

Face Recognition : Studied the impact of loss functions for producing "high quality" features for face recognition. Devised a new loss formulation that enables deep learning models to produce highly discriminative features.

Chicago, Il, Us

Taught CS 411 - Artificial Intelligence1

Chicago, Il, Us

Eindhoven, North Brabant, Nl

Developed algorithms to extract named entities from unstructured HTML pages to enrich the HERE points of interest (POI) database.

Developed near-real-time machine learning algorithms for anomaly detection on large scale sensor datasets generated by SDN systems. Part of a three-member machine learning team that was responsible for developing the machine learning pipeline for the company.

Niskayuna, New York, Us

- Sequence modeling for Named Entity Recognition (NER) on semi-structured industry log files- Chunking task on text data- Modeling and predictive analysis of large scale machine data on big data infrastructure - Algorithms on creating intelligent insights on machine maintenance data using text mining - Multivariate pattern analysis on fMRI data in Health care domain- Built an in-house search solution using Apache Solr on Text Mined data of a large document repository

In

Courses :=======- Machine Learning- Natural Language Processing- Social Network Analysis- Reinforcement Learning- Databases- Program Analysis

Northbrook, Il, Us

Was involved in setting up a large scale Hadoop cluster. Automated the Hadoop installation using python. Setup Software configuration management system using puppet; this enables users to install and maintain software on all the nodes in the cluster from the ’Name Node’. Wrote scripts in unix shell script to perform remote server monitoring. Set up a web based monitoring system using an open source web application called ’Nagios’. This enabled complete monitoring of all the key performance indicators of the Hadoop cluster. Wrote Map-Reduce code and pig scripts on the cluster.

Doctor Of Philosophy (Ph.D.), Computer Science

Msc, Computer Science