Nikhil Gupta - Stanford - Resume</head> <body> <pre> <a href=".">[ << BACK ]</a> Nikhil Gupta Email: nikgupta@stanford.edu Phone: 650 739 5825 Address: 226 Ayrshire Farm Lane # 105, Stanford, CA - 94305 Education Stanford University, Palo Alto, CA Masters in Computer Science (Artificial Intelligence) Expected June 2010 * GPA 3.94 * Courses: Data Mining, Machine Learning, Artificial Intelligence, Computer Vision, Data Visualization, Web Search and Information Retrieval, NLP, General Game Playing National Institute of Technology, Bhopal, India Bachelor of Technology in Computer Science & Engineering May 2006 * GPA 8.66/10, Department rank 2 Work Experience TheFind.com, Mountain View, CA Jun 2009 - Sep 2009 * Summer Internship in mining and query analysis of over 10Gb of daily weblog data * Improved search relevance using implicit click-log feedback about stores (live on TheFind.com) * Developed front and backend for a distributed analytics engine using Pig, Hadoop and HBase * Implemented analytics queries like query bounce rate, query trends, co-occuring stores etc Vista Lab, Stanford University, CA Feb 2009 - present * Research Assistant in the DARPA funded SyNAPSE project * Collaborating with researchers at IBM, presented results at IBM Almaden Research Center * Researching and implementing new and published neural circuit models for vision Computer Sciences Corporation, Indore, India Jul 2006 - Jul 2008 * Software Engineer in the Exceed R&D Team (20+ strong, $300k project, over 2M LoC) * Independently designed and introduced new functionality for multistep batch processing * Mentored 2 new team members; Cleared AICPCU INS-21 and 22 certifications * Nominated for nationwide Technical Excellence award in 2007 for outstanding performance Projects & Publications Personal project: ComiMix.com - discover random new webcomics Aug 2009 - present * Independently designed and implemented site to show webcomics from over 125 RSS feeds * Feed cleanup automatically removes text and ads and selects the correct image to display * Taking user feedback and prototyping new features like comic popularity and comments Academic Project: Stem Cell Tracking in Time Lapse Microscopy sequences Winter 2009 * Automated analysis of stem cell image data generated by robotic time lapse microscopy * Developed computer vision system for image stabilization, segmentation and cell tracking * Automatically reconstructs genealogical lineage histories of proliferating stem cells Academic Project: Shiniphy - Visual Data Mining of movie recommendations Winter 2009 * Interactive visualization for movie recommendation system based on Netflix dataset * Developed 3-tier architecture for item-item collaborative filtering based recommendations * Designed the interactive radial display of recommendation results with movie posters * Easy user feedback mechanism: drag related movies together or away to change results Academic Project: Object Recognition using Template matching Fall 2008 * 3D models, template matching and machine learning algorithms to detect cars in a scene * Built accurate 3D models of cars using their scaled models; used to generate templates * Fed these scores as features to machine learning algorithms to get models for object detection Publication: A VLSI Architecture for Image Registration in Real Time. 2007 * In IEEE Transactions on VLSI, Volume 15, Issue 9. Honours and Awards * All India Rank 123 (top 0.15%) in MP PET - 02 among 80,000+ students * Twice amongst the finalists for software design contest Apalak in 2004-05 held at NIT, Bhopal * Amongst the top 0.17% of 250,000+ aspirants in AIEEE - 2002 with an All India Rank 434 Technical Skills * Programming: Java, C, C++, MATLAB, SQL, learning Python and PHP * Tools/Libraries: OpenCV, Lucene, Eclipse, Hadoop, Pig, HBase * Publishing: XHTML, CSS <a href=".">[ << BACK ]</a> </pre> <script type="text/javascript"> var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www."); document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E")); </script> <script type="text/javascript"> var pageTracker = _gat._getTracker("UA-6073760-1"); pageTracker._trackPageview(); </script> </body> </html>