Mechanical Engineering Java Developer

Ashwini Shukla

DOB: **th June ****

Ph.D Student - IV Year

Rue de la Blancherie 5

Chavannes, Switzerland - 1022

T: +41-78-693-****

E: *******.******@****.**

To obtain a position where I can combine my skills in Machine Learning and non-linear

Objective

optimization with programming skills in JAVA, C++, MATLAB to solve real-world problems.

Ecole Poltechnique de Federale de Lausanne (EPFL), Switzerland

Education

Ph.D, Machine Learning and Robotics 2010-present (CGPA – 5.5 / 6.0)

Research: Motor skill learning from human demonstrations using SVM and Dynamical

Systems. Published in top-tier conferences NIPS, RSS and a book-chapter.

Teaching: Teaching Assistant for the “Applied Machine Learning” course. Conceived and

supervised two semester projects and one summer internship.

Project handling: In-charge of timely deliverables, reports and demonstrations to project

reviewers of two EU funded projects “First-MM” and “AlterEgo”.

Indian Institute of Technology Kanpur (IIT-K), India

M.Tech, Mechanical Engineering 2008-2009 (CGPA – 10.0 / 10.0)

Applied non-linear optimization to solve path planning problems for redundant manipulators.

Integrated as a C++ module in the robot path planning framework YANTRIKA®.

Indian Institute of Technology Kanpur (IIT-K), India

B.Tech, Mechanical Engineering 2004-2008 (CGPA – 8.2 / 10.0)

Developed skills in Theory of Optimization, JAVA/C++ Programming and Robotics.

Awarded best student paper at the ISTAM 2008 conference.

Served as the Institute Robotics Club Coordinator for 2007-2008.

Represented IIT Kanpur at ROBOCON 2006 as part of a 6 membered team.

Deloitte Consulting India

Work

Business Technology Analyst 2009-2010

Worked as a JAVA developer in a team of 9 translating client requirements to software.

Trained on aspects of technological consulting and software development lifecycle.

Received technical training on JAVA-Struts, Spring and Hibernate frameworks.

University West / Volvo Aero

Summer Intern May-July 2007

Developed path-planning algorithms for rapid prototyping of aircraft parts.

Programmed the planner as a VC++ module and interfaced with ROBCAD simulation.

Machine Learning

Skills

SVM, Max-Ent models, Bayesian regression/classification, Gaussian Processes, Gaussian

Mixture Models, Principal Component Analysis, Linear Discriminant Analysis.

Programming

JAVA (SCJP certified), C/C++ (Proficient), MATLAB (Proficient), Python (Beginner), SQL

Tools

Eclipse, CMake, Version Control via SVN, BZR.

Operating Systems

Linux (Ubuntu) including administrative tasks, WINDOWS® and MACINTOSH®

Web Automation

JAVA-Struts (Intermediate), Spring (Intermediate), Hibernate (Beginner)

Other Applied SVM classifier over geometric image features for automatic quiz grading system.

Applied PCA/GMR to learn motion features for human-like inverse kinematics.

Projects

Applied Max-Ent and Naïve Bayes for ham/spam classification of SMS texts.

Contributing to open-source ML toolkit “mldemos” https://gitorious.org/mldemos.

Software

Other

Sun Certified JAVA Programmer, Algorithms and Data Structures, NLP, IR.

Courses

Languages

TOEFL (score 115/120), French (level A0).

Key Ranked 165 (top 5%) at codeeval.com for solving programming puzzles.

All India Rank 804 (99.73 percentile) and 206 (99.97 percentile) in the all-India

Achievements engineering entrance examinations IIT-JEE and AIEEE respectively.

Awarded for holding Rank-1 in the postgraduate class.

Received Academic Excellence Award for being among the top 7% students in 2008-2009

semester postgraduate class.

Swiss Machine Learning Day 2013.

Conference

Support Vector Algorithms for Gradient Observations.

Publications

Neural Information Processing Systems (NIPS) 2012.

& Augmented-SVM: Automatic space partitioning for combining multiple non-linear dynamics.

Talks International Symposium on System Integration (SII) 2012.

Reaching and grasping kitchenware objects.

Robotics: Science and Systems (RSS) 2011.

Coupled dynamical system based hand-arm grasp planning under real time-perturbations.

Support Vector Machine Applications. Springer, In Press, Year 2013.

Journal

Augmented-SVM for gradient observations with application to learning multi-attractor dynamics.

& Robotics and Autonomous Systems. Vol. 60, Pages 424 - 440, Year 2012.

Chapter Coupled dynamical system based arm-hand grasping model for learning fast adaptation.

Publications Robotics and Autonomous Systems. Vol. 61, Pages 209 - 220, Year 2012.

A Direct Variational Method for Planning Monotonically Optimal Paths for Manipulators.

28 years old, married (no children), Indian citizen, Swiss residence permit B.

Personal

Hobbies: Skiing, swimming, cricket and playing guitar.

Information

Contact this candidate