Chief Software Architect Resume Example Near Miss Management

CHIEF SOFTWARE ARCHITECT

Professional Experience

Chief Software Architect
May 2013 to CurrentNear-Miss Management － Philadelphia, PA

Responsible for formulation, evaluation, and implementation of statistical (generative) models for process control data analytics that make up core components company products.
Oversee architecture of data analytics (back-end) and data visualization (front-end) frameworks.
Manage development of back-end (Python/Scipy/StatsModels) and front-end (Node.js/Sails/D3).
Provide technical assistance with client deployments.

Graduate Research Assistant
September 2007 to December 2012Vision and Cognition Laboratory, Drexel University － Philadelphia, PA

Conducted research in pattern recognition and information retrieval under supervision of Ali Shokoufandeh, Ph.D.
Collab- oration with researchers from NEC Labs has resulted in development of novel model for exploiting spatial evidence among sequences of features in supervised latent spaces, which has become major contribution of my dissertation work.
Having completed M.S.
degree before start of Ph.D.
program enabled to commit first three years of the program to study advanced topics in Mathematics.
During these years participated in development phases of web portal sprucecommunity.org, funded by Air Force Research Laboratory (AFRL), for collaborative engineering of software intensive systems.
Drexel team developed expert discovery system that facilitated keyword-based semantic retrieval of researcher profiles ranked by their expertise in query topic.

Senior Software Developer
October 2005 to September 2007Research & Development Group, Traffic.com / NAVTEQ, Inc － Wayne, PA

Was responsible for research, development and implementation of algorithms to be utilized by the real-time traffic monitoring system.
Developed short-term future traffic flow prediction system based on finding similar patterns in current and historical traffic flows (US Patent 7,755,509).
Developed system for traffic flow speed and travel time estimation that fused together information on traffic conditions from various sources: stationary microwave sensors, toll-tag readers, actual moving vehicles with GPS receivers, incident reports, and historical speed averages (US Patent Application 11/860,918).
Both systems have undergone nation-wide evaluations for accuracy via numerous test drives in major metropolitan areas.
page 1 of 2.

Research Assistant

Intern) JanMar, AugDec, 2011 NEC Labs America, Machine Learning Group Princeton, NJ Conducted research in large-scale text and image classification under supervision of Bing Bai, Ph.D.
and Yanjun Qi, Ph.D.
Developed system for large-scale opinion mining and text categorization (US Patent Application 13/424,900).
Distributed training framework for large-scale classification was implemented in C and Lua using Torch5 machine learning library.
MySQL database was used for synchronization and message passing.

Education

Ph.D : Computer Science, December 2012Drexel University － Philadelphia, PAGPA: Outstanding graduate student award. Drexel University, 2009 Honors: Honorable mention. NSF Graduate Research Fellowship Program GPA: 3.94 / 4.00Computer Science Ph.D. Thesis Title: Large-scale Document Labeling using Supervised Sequence Embedding

B.S. / M.S : Computer Science, June 2005Drexel University － Philadelphia, PAGPA: Graduated Summa Cum LaudeComputer Science Graduated Summa Cum Laude

Master's Thesis Title: Scale-Space Representation for Matching of 3D Models (U.S. Patents 8,015,125 and 8,266,079) Finalist for outstanding undergraduate award. Computing Research Association, 2004 Honors: Outstanding senior design project. Computer science department, 2004 Summer research intern. National Institute of Standards and Technology, 2003 Programming Languages: C/C++, Java, Lua, Perl, MATLAB, Python Platforms: Linux, OS X, Windows

Languages

Fluent in Russian. page 2 of 2

Interests

Traffic.com. Selected Publications Large-scale image classification using supervised spatial encoder. Dmitriy Bespalov, Yanjun Qi, Bing Bai, and Ali Shoko- ufandeh. To appear in International Conference on Pattern Recognition (ICPR), Nov 2012. Sentiment Classification with Supervised Sequence Embedding. Dmitriy Bespalov, Yanjun Qi, Bing Bai, and Ali Shokoufan- deh. In Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), pages 159174, Sep 2012. Sentiment classification based on supervised latent n-gram analysis. Dmitriy Bespalov, Bing Bai, Yanjun Qi, and Ali Shokoufandeh. In ACM Conference on Information and Knowledge Management (CIKM), pages 375382, Oct 2011. On inferring image label information using rank minimization for supervised concept embedding. Dmitriy Bespalov, Anders Lindbjerg Dahl, Bing Bai, and Ali Shokoufandeh. In Scandinavian Conference on Image Analysis, pages 103113, May 2011. Geometric total variation for texture deformation. Dmitriy Bespalov, Anders Bjorholm Dahl and Ali Shokoufandeh. In International Conference on Pattern Recognition (ICPR), pages 45974600, Aug 2010. Classification of archaeological ceramic fragments using texture and color descriptors. Patrick Smith, Dmitriy Bespalov, Ali Shokoufandeh and Patrice Jeppson. In CVPR: Applications of Computer Vision in Archaeology, pages 4954, Jun 2010. On evaluating the efficiency of software feature development using algebraic manifolds. Jay Kothari, Dmitriy Bespalov, Spiros Mancoridis, Ali Shokoufandeh. In International Conference on Software Maintenance, pages 716, Jun 2008. Local feature extraction and matching partial objects. Dmitriy Bespalov, William C. Regli, and Ali Shokoufandeh. Journal of Computer-Aided Design, 38(9):10201037, Sep 2006. Benchmarking search techniques for CAD. Dmitriy Bespalov, Cheuk Yiu Ip, William C. Regli, and Joshua Shaffer. In ACM Symposium on Solid and Physical Modeling, pages 275286, Jun 2005. Scale-space representation and classification of 3d models. Dmitriy Bespalov, Ali Shokoufandeh, William C. Regli, and Wei Sun. Journal of Computing and Information Science in Engineering, 3(4):315324, Dec 2003. Scale-space representation of 3d models and topological matching. Dmitriy Bespalov, Ali Shokoufandeh, and William C. Regli. In ACM Symposium on Solid Modeling and Applications, pages 208215, Jun 2003. Teaching Experience Instructor for Machine Learning. Computer science department, Drexel University. Spring quarter, 2014. Instructor for Computer Science Foundations. Computer science department, Drexel University. Fall quarter, 2013. Instructor for Data Structures and Algorithms I-II (undergraduate and online graduate sections). Computer science department, Drexel University. Fall and Winter quarters of 2008 and 2009 academic years. Special Citizen of the United States of America.

Additional Information

Patents Sentiment Classification Based on Supervised Latent N-Gram Analysis. Co-inventors: Yanjun Qi and Bing Bai. United States Patent Application 13/424,900. Patent owner (PO): NEC Labs America. Estimation of actual conditions of a roadway segment by weighting roadway condition data with the quality of the roadway condition data. Co-inventors: James F. Carroll and Dean Zimmerman. US Patent Application 11/860,918. PO: Traffic.com. Multi-scale segmentation and partial matching 3D models. Co-inventors: William C. Regli and Ali Shokoufandeh. United States Patents 8,015,125 and 8,266,079. Issued on Sep 2011 and Sep 2012. PO: Drexel University. Use of pattern matching to predict actual traffic conditions of a roadway segment. Co-inventor: Ali Shokoufandeh. United States Patent 7,755,509. Issued on Jul 2010. PO: Traffic.com. Selected Publications Large-scale image classification using supervised spatial encoder. Dmitriy Bespalov, Yanjun Qi, Bing Bai, and Ali Shoko- ufandeh. To appear in International Conference on Pattern Recognition (ICPR), Nov 2012. Sentiment Classification with Supervised Sequence Embedding. Dmitriy Bespalov, Yanjun Qi, Bing Bai, and Ali Shokoufan- deh. In Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), pages 159174, Sep 2012. Sentiment classification based on supervised latent n-gram analysis. Dmitriy Bespalov, Bing Bai, Yanjun Qi, and Ali Shokoufandeh. In ACM Conference on Information and Knowledge Management (CIKM), pages 375382, Oct 2011. On inferring image label information using rank minimization for supervised concept embedding. Dmitriy Bespalov, Anders Lindbjerg Dahl, Bing Bai, and Ali Shokoufandeh. In Scandinavian Conference on Image Analysis, pages 103113, May 2011. Geometric total variation for texture deformation. Dmitriy Bespalov, Anders Bjorholm Dahl and Ali Shokoufandeh. In International Conference on Pattern Recognition (ICPR), pages 45974600, Aug 2010. Classification of archaeological ceramic fragments using texture and color descriptors. Patrick Smith, Dmitriy Bespalov, Ali Shokoufandeh and Patrice Jeppson. In CVPR: Applications of Computer Vision in Archaeology, pages 4954, Jun 2010. On evaluating the efficiency of software feature development using algebraic manifolds. Jay Kothari, Dmitriy Bespalov, Spiros Mancoridis, Ali Shokoufandeh. In International Conference on Software Maintenance, pages 716, Jun 2008. Local feature extraction and matching partial objects. Dmitriy Bespalov, William C. Regli, and Ali Shokoufandeh. Journal of Computer-Aided Design, 38(9):10201037, Sep 2006. Benchmarking search techniques for CAD. Dmitriy Bespalov, Cheuk Yiu Ip, William C. Regli, and Joshua Shaffer. In ACM Symposium on Solid and Physical Modeling, pages 275286, Jun 2005. Scale-space representation and classification of 3d models. Dmitriy Bespalov, Ali Shokoufandeh, William C. Regli, and Wei Sun. Journal of Computing and Information Science in Engineering, 3(4):315324, Dec 2003. Scale-space representation of 3d models and topological matching. Dmitriy Bespalov, Ali Shokoufandeh, and William C. Regli. In ACM Symposium on Solid Modeling and Applications, pages 208215, Jun 2003. Teaching Experience Instructor for Machine Learning. Computer science department, Drexel University. Spring quarter, 2014. Instructor for Computer Science Foundations. Computer science department, Drexel University. Fall quarter, 2013. Instructor for Data Structures and Algorithms I-II (undergraduate and online graduate sections). Computer science department, Drexel University. Fall and Winter quarters of 2008 and 2009 academic years. Special Citizen of the United States of America.

Skills

3D, Air Force, C, C++, client, data visualization, database, Dec, features, GPS, image, Java, Linux, Machine Learning, Mathematics, MATLAB, Windows, microwave, MySQL, NEC, novel, OS, page 1, page 2, Perl, process control, Programming, Python, real-time, Research, researcher, Russian, supervision, technical assistance, web portal

Resume Overview

Companies Worked For:

Near-Miss Management
Vision and Cognition Laboratory, Drexel University
Research & Development Group, Traffic.com / NAVTEQ, Inc

School Attended

Drexel University

Job Titles Held:

Chief Software Architect
Graduate Research Assistant
Senior Software Developer
Research Assistant

Degrees

Ph.D : Computer Science , December 2012
B.S. / M.S : Computer Science , June 2005
Master's Thesis Title: Scale-Space Representation for Matching of 3D Models (U.S. Patents 8,015,125 and 8,266,079) Finalist for outstanding undergraduate award. Computing Research Association, 2004 Honors: Outstanding senior design project. Computer science department, 2004 Summer research intern. National Institute of Standards and Technology, 2003 Programming Languages: C/C++, Java, Lua, Perl, MATLAB, Python Platforms: Linux, OS X, Windows

Chief Software Architect Resume Example

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