DSP Engineer
Resume:
JINESH J JAIN
****, ********* ****, ***# ****, Richardson, Texas – 75080
******.****@*******.********.*** 469-***-****
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OBJECTIVE:
Starting January 2011, obtain a unique opportunity to make a successful transition from research &
academics to a growing industry & grow as an Entry-level Electrical Engineer in the field of Signal Processing.
EDUCATION:
• M.S. Electrical Engineering, Communication and Signal Processing GPA: 3.91
The University of Texas at Dallas (UTD) Aug 2008 - Dec 2010
• Bachelor of Engineering (BE), Electronics and Communication 77.2% (~GPA: 3.8)
Visveswaraya Technological University Sep 2004 - Jun 2008
PES Institute of Technology (PESIT), Bangalore, India
COMPUTER SKILLS:
• Languages - C, VHDL, Assembly Language Programming, JAVA
• Platforms - Windows, LINUX, UNIX, Android
• Softwares - MATLAB, Simulink, Visual C++, OpenCV, LabVIEW, HTK, Visual DSP++, CCStudio, Eclipse, Minitab
INTERESTS:
DSP, Multimodal Signal Processing, Speech Recognition, Pattern Recognition, Audio & Acoustic Signal Processing, Image Processing, Embedded Systems and Digital Communication
WORK EXPERIENCE:
• Research Assistant under Dr. Carlos Busso in the Multimodal Signal Processing Lab, UTD - 2010
o Working on multi-person detection, estimation and tracking, pose and blink detection fusing AV modalities i.e., audio signals & images from a single camera on MATLAB & using OpenCV.
o Working on driver behavior analysis on UTDrive corpus from CAN-Bus and video data using data acquisition systems.
• Engineering Intern, Advanced User Interface EE Team, User Experience Team (UXT) , Motorola Mobile Devices under Tim Dickinson – Summer ‘10
o Developed and documented a LabVIEW program to read Android Data from Capacitive Touch Screen phones into a PC in real time; App development and installation on the phones using Eclipse and Android SDK; debugging using Android Debug Bridge (ADB).
o Conducted performance analysis via robot scans of various Motorola and Competitor Android Phones; thus helped UXT to be able to perform competitive analysis across phones.
o Contributed by filing a disclosure, accepted to be pursued to be filed for a patent.
o Assisted Team members on various other products.
• Research Assistant under Dr. Philip Loizou in the Cochlear Implant Lab, UTD on MATLAB - Fall ‘09
o Worked on signal processing algorithms for Cochlear Implants, recruiting and conducting experiments for subjects and analysis of results of the same.
• Research Assistant under Dr. Alice O’Toole in Face Recognition Lab at UTD on MATLAB - Spring ‘09
o Pattern classification of fMRI images for Face Recognition and study of Other-Race effect
o Co-authored “Dissociable neural responses for Caucasian and Asian faces using a pattern-classification approach” – Society for Neuroscience 2009.
JINESH J JAIN
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COURSE PROJECTS:
• Isolated-Word Command Based ASR system – HMM Tool Kit (HTK), LINUX, MATLAB
Study and Implementation of an Isolated-Word Command Based Automatic Speech Recognition (ASR) system for applications such as car navigation systems etc and improve performance under noisy conditions on applying Noise cancellation algorithms.
• Comparison of Classifiers for separation of SHG Images – LabVIEW and MATLAB
Evaluation of Different Classifiers for pattern classification to classify SHG images using different Feature Reduction techniques with the final goal to build general purpose classifiers.
• Neural – Network Based Signal Prediction System – LabVIEW, MATLAB and CCStudio
Built a neural network – based signal prediction system using back propagation algorithm and analyzed its performance on PC and DSK TMS320C6713 floating point DSP using CCStudio.
• Two - Channel Speech Enhancement System – LabVIEW and MATLAB
Designed a LTI Causal Digital Filter to enhance the speech in a noisy speech signal by performing Noise cancellation using different methods like Adaptive LMS, Normalized LMS and Wiener Filtering algorithms.
• Unmanned Aerial Vehicles: Formation Flight - MATLAB
Simulated UAV formation flight taking into account the aerodynamics and environmental factors for mathematical modeling and succeeded in simulating precise and intricate 3D paths of UAVs proving better efficiency and performance.
COURSES:
• Graduate – Vision-Based Estimation & Control, DSP - I, Random Processes, Linear Signals & Systems, DSP - II, Speech Processing, Applied DSP, Pattern Recognition, Speech & Speaker Recognition, Digital Communications, Multimodal Signal Processing, Non-linear Controls, Research credits.
• Undergraduate - VLSI Design, VHDL, DSP Architectures, Analog & Digital Communication, Adaptive Signal Processing, Microprocessors, Microcontrollers, Multimedia Communication, Information Theory.
TECHNICAL ACTIVITIES:
• Completed courses “DSP Programming and Applications” and “Advanced Course on DSP” on Blackfin533 at Analog Devices – IIT Madras DSP Learning Centre (Jan – Feb 2008) which involved
Blackfin BF533 Architecture and Instruction Set, Speech Coding, Principles of
Baseband Communication, Adaptive Equalization, Echo Cancellation, Still Image Compression, Peripheral Programming, Code Optimization.
• Completed a course on “Statistical Signal Processing” given by Dr. G.V.Anand, IISc, Bangalore.
• Presented a seminar on “Optical Character Recognition using Neural Networks”.
• Authored a review paper on “Nanomagnets: A New Beginning” which was selected at an inter-collegiate conference in Bangalore, India in 2007.
LEADERSHIP ROLES:
• Obtained the Six Sigma Quality ‘White and Yellow Badge’ at Motorola in Summer ’10.
• Community Service Officer at UTD Police Department for Spring ’09.
• Chairman, Executive Committee of the IEEE Student Chapter at PESIT 2008.
• Student Assistant for Professors for three semesters under the Student Assistantship Program in Electronics and Communication Department at PESIT.
• Served as Head and Member of the organizing committee in inter-collegiate fests held in college.
• Selected as “The Most Promising Leader” at high school.
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