Research assistant Resume

SUMMARY:

Full time opportunity in Medical Image Processing and Analysis & Computer Vision.

WORK EXPERIENCE:

Research assistant

Confidential

Responsibilities:

Simulated a Confidential signal with 90% like an ideal Confidential signal for comparative analysis for Neurovascular coupling.
Applied complex algorithms like ICA, PCA, Wavelet Transform, Entropy which enhanced the Imaging Process by two folds.
Performed fNIRs & EEG measurement on more than 30 subjects using 1 million $ machine for multimodal Imaging
Performed extensive Statistical analysis & Visualized on interactive scales with raw data which increased the prediction rate.
Designed an efficient Matlab GUI for Image morphological techniques which fastened the process of analysis greatly.
Implemented Deep Learning Classifier Algorithms like Naïve Bayes, J48 etc. which predicted with 80 % accuracy

Environment: Matlab, Simulink, LabView, Deep Learning, Pattern Recognition, Digital Image Processing, SAS, R, WEKA

Full stack developer

Confidential

Responsibilities:

Designed and Developed the User Interface of the web application for all age groups from 10 to 60 years of age.
Designed an effective MEAN Stack architecture which increased the performance as well fastened the coding process.
Deployed the application into the Cloud Server by configuring and maintained a record of issues to avoid in future.
Being a Team Lead implemented Agile methodology resulted the First successful release within 2 months.
Developed a Machine Learning Advanced Filtering algorithm using Google Search API to get streamlined data with 85 % accuracy which is a Major resource of the web application.

Environment: mongo DB, node.js, d3.js, express.js, angular.js, JSON, CSS3, HTML5, Oauth2, Jet Brains IDE, GitHub, Photoshop & Muse

System engineer

Confidential

Responsibilities:

Delivered more than 40 change requests on time with less than 10 % error rate out of which 15 passed with zero issue.
Developed a RESTful API accessing complex data and processing, which has been used by 27 dependent HR applications.
Deployed the application as a librarian into various levels from SIT, UAT till Productions without any issues for 2 years.
Became Youngest Team Lead within 1 year for a team of 9 and made sure the deliverables were ready on time.
Designed an Employee Tracker Hybrid Mobile application which increased the efficiency of work force 70 %.
Designed a Mobile app using WATSON Visual Recognition API Service for Translating Multilingual Text on Images to Native Language.

Environment: JAVA - Spring, JavaScript, RTC, RAD, WAS, Eclipse, IBM Blue Mix, WATSON API, XML, Android, Work light