1. ROHAN BAID
#330/H, 2nd
floor, 9th
K Main Road,
Vijayanagar, Bangalore-560040
(+91)8123416061, rohanbaid077@gmail.com
02 July 2015
Respected Hiring Manager,
I am writing to express my interest for a suitable position in the field of Multimedia and Digital
Signal Processing in your company.
My Professional experience at AllGo Embedded Systems Pvt. Ltd has given me greater insight into the field of
audio codec design, optimization, software development of audio codec’s on various hardware architectures and
on the plug-in development for audio decoders and parsers. In AllGo, I have also worked on video analytic
techniques for surveillance.
It was a great experience for me to have worked in Bio-medical Signal Processing field during my final year
academic project and subsequently publish two conference papers on the same.
Multimedia and Digital Signal Processing has always been my choice ever since my engineering days in PESIT,
Bangalore. I have also involved myself in various events in the college.
All the above experiences have given me the confidence, flexibility and the ability to work with teams to ensure
the growth of the organization. My passion being Multimedia/digital signal processing engineer, I believe your
company would be an apt place to take my career forward.
Thank you for your valuable time and consideration.
Yours Sincerely,
Rohan Baid

2. ROHAN BAID
#330/H, 2nd
floor, 9th
K Main Road,
Vijayanagar, Bangalore-560040
(+91)8123416061, rohanbaid077@gmail.com
EDUCATION
Course College/Institution University/Board Grade
B.E in 2012
(Telecommunication
Engineering)
P.E.S Institute of
Technology (PESIT),
Bangalore
Visvesvaraya
Technological University
CGPA – 8.42
PUC in 2008 St. Joseph’s PU College,
Bangalore
Department of Pre-
University Education,
Bangalore
86.33%
SSLC in 2006 St.John’s High School,
Vijayanagar,
Bangalore
Karnataka Secondary
Education Examination
Board, Bangalore
86.88%
WORK EXPERIENCE
Software Engineer at AllGo Embedded Systems Pvt. Ltd Bangalore (April 2013 - present)
My work experience involved both development and verification aspects of audio codec and plug-in
development and optimization:
 Gstreamer Parser and Decoder Plug-in Development
o Ported ALLGO plug-ins from 0.10 to 1.0 version
o Designed and added the Apple QuickTime parsing in ALLGO MP4 Parser
o Designed and Developed the MP4 parser plug-in for streaming over a network
o Designed and developed the MP4 library for streaming
o Integrated and ported ALLGO plug-ins onto ALLGO RACE Media Engine
o Developed the Gstreamer plug-in for AllGO ASFPARSER and WMA Decoder
o Added video, WMA Lossless, MP3 and AAC header parsing support in ASF Header
o Designed and added the support for seek and normal playback in the plug-in
o Designed the plug-ins for file sink, normal playback and seek
o Bug fixing on MP3, AAC, WMA, ASF, MP4 codec’s and plug-ins
 Windows Media Audio (WMA)
o Worked on the packetizing concept of the Microsoft’s WMA data on the decoder side for proper
decoding of the WMA data when data is distributed amongst different packets
 Multi Channel Analysis on TI Single Shannon Processor
o The integration and testing was carried in order to form the baseline code for the analytics code
to work accordingly for required features
o Generated test cases for all the test applications
 Object Removal from a sequence of video frames on Qualcomm Snapdragon 800 processor
o C Coding for the conversion of a video frame from YUV (YV12) format to ARGB888 format and
then from ARGB format to RGB888 format and optimizing the same on the Qualcomm
snapdragon 800 processor architecture (hexagon v5)
o Designed the application to remove the unwanted moving object from a series of video frames
(using the video Analytics), Implemented the Fast Routine Procedure Call (Fast RPC) to make
fast procedure calls between the ARM processor and the Qualcomm DSP
o Implemented multi-threading of the video conversion modules on the QDSP
 Optimization of HEAAC (High Efficiency Advanced Audio Coding) Decoder on ARM9E
o Assembly coding and Optimizing the major SBR modules of the HEAAC decoder on ARM9E
o Implementation of a division algorithm using Newton-Raphson method
o Testing Conformance of the decoder

3.  Worked as an Intern in AllGo for a period of 4 months (December 2012 to March 2013)
 Worked as Research Assistant for a period of 6 months (June 2012 to November 2012) under Dr.
Niranjana Krupa
SKILLS
 Great exposure to Gstreamer Plug-in development for parsers and decoders
 Great exposure to optimization of audio codecs on ARM9E and QDSP (Hexagon v5)
 Good exposure to audio and video codecs like HEAAC, WMA, MP3, MP4, ASF
 Programming Languages: C, Assembly Coding (ARM9E and QDSP), Gstreamer plug-in development
 Software and Platforms: Visual Studio, Windows, Linux
 Architectures: ARM7, ARM9E, TI Sitara and hexagon v5
ACADEMIC PROJECT
1. Assessment of Vascular Age using PhotoPlethysmoGraph (PPG) Signal (2011-2012) at PESIT, Bangalore
Guide: Dr. Niranjana Krupa, Department of Electrical and Electronics Engineering, PESIT
Description: Variation in the blood flow pattern (PPG Signal) describes the state of health of an individual.
These variations affect the human beings life style directly and/or indirectly. Any onset of the Cardio
Vascular Diseases (CVD) is directly related to these blood flow variations that again depend on different
sets of factors.
Another motivation for exploring the PPG technique was its close relation to the heart signals,
which can be helpful not in assessing the vascular condition but also in many of the other diagnosis areas.
The aim of the project was to explore and implement an efficient PPG technique using suitable
Digital Signal Processing concepts and then using proper classifier to check the performance of the
classification for the known sets of available Healthy and Unhealthy subjects PPG data
PUBLICATIONS
 A comparison of Linear Parametric models based on the fitness index Rohan Baid, Basavaraju S,
Department of Telecommunication Engineering, PESIT-Bangalore. B. Niranjana Krupa, Department of
Electrical and Electronics Engineering, PESIT-Bangalore. M A Mohd Ali, Department of Electrical
Electronics and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi, Malaysia. National
conference on Evolutionary Systems for Signal Processing and Communication (ESSC), pp. 1-5, 2012
 Classification of photoplethysmographic signals using support vector machines for vascular risk
assessment Rohan Baid, Department of Telecommunication Engineering, PESIT-Bangalore. B. Niranjana
Krupa, Department of Electrical and Electronics Engineering, PESIT-Bangalore. M A Mohd Ali,
Department of Electrical Electronics and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi,
Malaysia. 10th IASTED International Conference on Biomedical Engineering ~BioMed 2013