Quality Assurance Software Engineer

Raghav K. Padmanabhan

**** ************ ****, *****: ******.*******@*****.***

Apt# 2009, Durham, NC-27705 Phone: 979-***-****

SUMMARY

I have been involved in the development of machine learning algorithms and building predictive models

to extract quantitative information and glean insights from large datasets. I have applied these skills in

the field of biomedical image analysis. I am looking for a position where I can leverage these skills to

drive innovation and solve critical business problems in a fast paced and challenging work environment.

EDUCATION

PhD in Electrical Engineering (GPA: 3.95/4.0) 05/2009- 09/2012

Bio-Image Analytics Lab, University of Houston, Houston, TX

Thesis Title: Active and Transfer Learning Methods for Computational Histology.

MS in Electrical Engineering (GPA: 3.6/4.0) 05/2007-05/2009

DocLab, Rensselaer Polytechnic Institute, Troy, NY

Key Coursework: Pattern Recognition, Data Mining, Stochastic Processes, Computational Optimization,

Computer Vision, Image Processing.

B.E. in Electrical and Electronics Engineering (GPA: 4.0/4.0) 08/2001-05/2005

Osmania University, Hyderabad, India

PROFESSIONAL EXPERIENCE

Post-Doctoral Research Associate, Duke University 11/2012 - Present

Implemented machine learning algorithms including nonparametric Bayesian mixture models

using MCMC techniques.

Doctoral Research Assistant, University of Houston 05/2009-10/2012

Developed a novel sparse active learning model based on logistic regression based that selects

informative examples and relevant predictors for classification problems.

Developed an adaptive stratified sampling technique for validating performance of algorithms

on large datasets with minimal user effort.

Implemented visualization tools allowing doctors and biologists to interact with the system and

interpret algorithm outputs and visualize convergence metrics.

Worked with an interdisciplinary team of software engineers and biologists to design and

implement several new modules in the FARSIGHT toolkit written in C++ and Python.

Other Projects

o Air Guitar Hero - Implemented computer vision routines in C++ interfaced with

Microsoft Kinect to simulate the experience of playing the guitar by generating chord

sounds when the user performs a strumming motion.

o CARTS (Computer Vision for the ARTS) – Classified different painting styles (Cubist,

Pointillist, Fauvist) automatically by applying a Kernel Partial Least Squares algorithm

on extracted features from images of paintings.

Research Assistant, Rensselaer Polytechnic Institute 05/2007-05/2009

Collaborated with linguists & computer scientists from multiple universities as a part of project

TANGO (Table ANalysis for Generating Ontologies) to create document analysis software for

harnessing tabular information available on the World Wide Web.

Developed an Excel based tool for semi-automatically creating domain specific ontologies.

Developed a prototype for querying a dimensional database using well-formed tables as queries.

Software Engineer, Cognizant Technology Solutions, Chennai, India 08/2005-05/2007

Designed user interfaces and integrated system test plans as a part of Quality Assurance team.

Interacted with clients and developed use-case documents for software modules for a

pharmaceutical inventory management system.

Trained project teams on functionality and inter-dependence between software modules.

PROGRAMMING SKILLS

Programming Languages: C, C++, Python, SQL.

High-level Programming Languages/Packages : R, MATLAB, Visual Basic for Applications.

Software Libraries: QT, Boost, Eigen, Visualization Toolkit.

AWARDS

Microscopy Society of America Presidential Student Award, 2012.

CYTO Student Travel Award from the International Society for Advancement of Cytology, 2010.

JOURNAL PUBLICATIONS /CONFERENCE PROCEEDINGS/ABSTRACTS

1. Padmanabhan R., et. al. “Developing Histopathology Metrics of Angiogenesis in Human Renal

Cell Carcinomas Using An Active Learning Approach” (Submitted - Journal of Clinical Cancer Research)

2. Padmanabhan R. et.al. “A Novel Active Learning Algorithm for Identification of Cell Types in

Multiplex Stained Histopathology Images”, Microscopy and Microanalysis Conference, Phoenix,

AZ, USA, 2012.

3. Melichar HJ, Li O., Herzmark P., Padmanabhan R., Oliaro J., Ludford-Menting MJ, Bousso P.,

Russell SM, Roysam B., Robey EA: “Quantifying Subcellular Distribution of Fluorescent Fusion

Proteins in Cells Migrating within Tissues”, Immunol Cell Biol. 2011 May; 89(4):549-57.

4. Padmanabhan R., Jandhyala R., Krishnamoorthy M., Nagy G., Seth S., Silversmith W.:

“Interactive Conversion of Web Tables”, GREC 2009, LNCS 6020, pp. 25–36, 2010.

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