Figura professionale: web/app mobile developer

Nome Cognome: S. K.Età: 27
Cellulare/Telefono: Riservato!E-mail: Riservato!
CV Allegato: Riservato!Categoria CV: Developer / Web dev. / Mobile dev.
Sede preferita: Roma

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Sommario

web/app mobile developer

Esperienze

OBJECTIVE:
Worked as Software Engineering  in Omega Healthcare, Seeking for an opportunity with collaborative companies   

 

SKILLS:                                                                                                                                                                                                                                            
–    C/C++
–    HTML,CSS
–    JAVA SCRIPT,PHP 
–    ANGULAR.JS, REACT.JS
–    JSON
–    UI/UX    –    MOBILE APP DEVELOPMENT
–    BOOT STRAP
–    WORD PRESS
–    WEB RATIO
–    CORE JAVA

JOB EXPERIENCE:
        SOFTWARE ENGINEERING  
      OMEGA HEALTHCARE,INDIA
     (December 2016 – April 2018)  
–    Consistently met my short and long-term targets. Fixed bugs in existing websites and assisted clients in fixing problems in their website functions from the backend.
–    Collaborated with the senior web developer to clean up processes, boost performance, and reduce downtime.
     PART – TIME:
–    FREELANCER
–    DELIVEROO
–    BABY SITTER

EDUCATION:
MASTER’S IN COMPUTER SCIENCE
   SAPIENZA UNIVERSITA DI ROMA
    (SEPTEMBER 2018 – PRESENT)
THESIS:
–    FOG COMPUTING – BASED IOT FOR HEALTH MONITORING SYSYTEM
o    Wireless Sensor network(WSN’S) have become prevalent devices to monitor patients at risk for chronic disease.
o    This helps patient comply by the treatment plans and also safeguard them during  sudden attacks:
o    Amount of data we gathered from various sensor is numerous ,so we use “Fog Computing” to help monitor patient suffering from chronic diseases ,such that data are collected and processed in an efficient manner.

PROJECTS:
–    ROBUST REAL TIME FACE DETECTION
o    Face Detection framework that is capable of processing images extremely rapidly while achieving high detection rates
o    “Integral Image” which allows the features used by our detector to be computed very quickly and  Select a small number of critical visual features from a very large set of potential features.
o    Method for combining classifiers in a “cascade” which allows background regions of the image to be quickly discarded while spending more computation on promising face-like regions and detection proceeds at 15 frames per second.
–    CONTROL STRATEGY OF DRONE WORK
BACHELOR’S IN ELECTRONICS AND COMMUNICTION ENGINEERING
SCSVMV UNIVERSITY(2012 – 2016)
THESIS:
–    MOBILE MIDDLEWARE APPLICATION FOR REAL TIME WATER PUMP SYSTEM

LANGUAGES KNOWN:
ENGLISH     –  ADVANCED
TELUGU      –  ADVANCED
ITALIAN       –  ADVANCED
GERMAN     –  INTERMIDIATE
HINDI         –  ADVANCED 

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