Email Id: firstname.lastname@example.org
Mobile No: 0091-998-***-****
I have completed Masters Degree in Medical Electronics and Physics from
Queen Mary University of London. I am looking forward to utilise my new
technical skills. My objective is to work in a competitive and merit based
organisation in the area of medical electronics involving medical imaging,
design, maintenance/Servicing and research in ultrasound, MRI, Lasers. I am
an enthusiastic, adaptable and result(s) oriented individual with some
excellent experience in Software engineering field. I believe I am now
ready to take up new challenges in the area of Medical Electronics to add
value to my career.
Awarded with 'on the spot award' for my outstanding contribution towards
the organization and considered as a role model to other colleagues under
TCS Gems for successful MQ7 installations over 270 applications at work.
Successfully completed one day course 'Biomed Vision' conducted on
Biomedical Engineering during Bachelor's degree.
Currently working as a Biomedical Engineer (Intern) at Sagar Hospitals,
I Worked for Tata Consultancy Services Limited, Bangalore as Assistant
Systems Engineer (ASE) for 20 months.
| |1.General Training period |Dec 2008 - Feb 2009 |
| |2.Websphere Messaging and Queuing(MQ) |Feb 2009 - Aug 2010 |
| |- Change Management Requests - CMR |Feb 2009 - Jan 2010 |
|Project and |- Incident Management Requests - IMR |Feb 2009 - Jan 2010 |
|Duration |- MQ 7 Upgradation |Jan 2010 - Aug 2010 |
| |3. Websphere Message Broker |Mar 2010 - Jun2010 |
| |4. Managed File Transfer |Feb 2009 - Oct 2009 |
| |- Change Management Requests - CMR |Feb 2009 - Oct 2009 |
| | | |
|Client |Ameriprise Financial Corporation, Minneapolis. | |
| |Implementation of changes with respect to the ongoing project| |
| |requirements. | |
| |Online testing with application teams. | |
|Responsibilities |Preparing pre-implementation and post implementation test | |
| |cases. | |
| |I was end to end responsible for successful installations | |
| |over 270 applications. | |
| |Representation of statistics to the client. | |
1. Masters degree in Medical Electronics and Physics Engineering
University name: Queen Mary University of London,
Year: September 2010 - 2011.
Main Modules - Physiology, Analogue Medical Electronics, Radiation physics
and Lasers for medical applications (such as diabetic retinopathy,
glaucoma), Surgical Techniques and Safety, Digital Electronics,
Ultrasound and Imaging, Clinical Measurements, Research Methods and
Experimental Techniques in Engineering and research project.
Class obtained - Merit (64%)
2. Bachelor of Engineering (B.E) in Medical Electronics
Institution name: Dr. Ambedkar Institute of Technology, Bangalore.
Year: AUG-2003 to JULY-2008
Main Modules -Patient Monitoring systems, Medical Physics, Power
electronics, Analog and digital bio-Signal processing, Micro controllers,
Biomedical Instrumentation, Control Systems, Network Analysis, logic
design, Analogue and digital Electronics, Artificial Intelligence, C, C++.
Class obtained - First Class (61.8%). Core modules - 68%
3. Pre University Level (12th)
Institution name: Govt. Pre-university College, Mandya.
Year: Aug 2001 - Sept 2003.
Main Modules - Physics, Chemistry, Mathematics and Biology.
Class obtained - First Class (76.5%).
4. 10th Standard - First class (82.7%).
1. Master's Thesis
|Title |Breast cancer classification using wavelets and |
| |neural networks |
|Description |Designing of computer aided diagnosis system which |
| |enables interpretation of medical images in the |
| |detection and diagnosing abnormalities of breast |
| |cancer earlier which can be very useful for the |
| |radiologists and this method is faster. The |
| |intended system is able to classify normal from |
| |abnormal severity (benign and malignant). The |
| |evaluation of the system is carried out on |
| |Mammography Image Analysis Society (MIAS) dataset. |
| |The project involves Matlab programming for feature|
| |extraction, wavelet decomposition and coefficient |
| |extraction which is fed to neural network. The |
| |testing phase of neural network provides |
| |classification rate. |
2. Bachelor's Project
|Title |Digital Temperature Indicator Infant warmer [Open |
| |Bed Type] |
|Description |Neonatal facilities of hospitals require, under |
| |current care standards, the Provision of Infant |
| |warmer will automatically maintain the infant's |
| |environment within acceptable temperature limits. |
| |This necessitates the use of heating elements with |
| |controls which will effectively regulates the heat |
| |delivered to the unit responsible in response to |
| |sensors in the bed which monitors the temperature |
| |in the vicinity and preferably, the actual |
| |temperature of the infant's skin. The features |
| |implemented are bed wetting detector which raises |
| |an alarm when the baby urinates or vomits. Open Bed|
| |Type is thermally stable. The features operate to |
| |provide highly responsive temperature regulation |
| |and enhanced safety. |
Programming Languages Known
MATLAB, LABVIEW, C, C++, OOP concepts, C#, ASP .Net, SQL server, UNIX, XML,
Websphere applications (WMQ, WMB), MQSC.
I play Indian classical instrument, badminton, making new acquaintances
1. Dr. M . Hasan Shaheed
2. Dr. Hazel Screen CEng,MIMechE, MIPEM
Lecturer in Dynamics, Control and Robotics Senior
Lecturer in Biomedical Engineering
School of Engineering and Material Science School
of Engineering & Materials Science
Queen Mary University of London
Queen Mary University of London
London E1 4NS
London E1 4NS
Tel: 020 - 7882-3774; Fax: 020 - 8983-1007 Tel:
020 - 7882-3774; Fax: 020 - 7882- 5532