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Barua pepe imethibitishwa kwa ufanisi.
gandhinagar,
india
Ni saa 10:52 PM hapa
Alijiunga Mei 1, 2015
0 Mapendekezo
Hetali T.
@hetali92
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gandhinagar,
india
N/A
Kazi Zilizokamilika
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Kwa Bajeti
N/A
Kwa wakati
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Kiwango cha Kuajiriwa Tena
Software Developer
Wasiliana na Hetali T. kuhusu kazi yako
Ingia ili kujadili maelezo yoyote kwenye gumzo.
Kaguzi
Mabadiliko yamehifadhiwa
Hakuna maoni ya kuona hapa!
Uzoefu
Sr. Software Developer
Nov 2017 - Sep 2018 (10 months, 1 day)
- RESPONSIBLE FOR WRITING SERVER SIDE WEB APPLICATION LOGIC USING TECHNOLOGIES LIKE PHP, LARAVEL, YII, YII2, CODEIGINTER, NODE JS, VUE JS.
- RESPONSIBLE FOR NEW SOFTWARE DEVELOPMENT, ENHANCEMENTS, BUG FIXING AND PRODUCTION SUPPORT.
- WORKED ON VARIOUS VERSION CONTROL REPOSITORIES LIKE GIT HUB, BIT BUCKET, GIT LAB.
PHP Developer
Feb 2017 - Okt 2017 (8 months, 1 day)
- RESPONSIBLE FOR REQUIREMENTS GATHERING, ANALYSIS, DESIGN AND CODING.
- WORKED ON TECHNOLOGIES LIKE PHP, CODEIGNITER, RESTFUL WEB SERVICES.
- WORKED ON VARIOUS VERSION CONTROL REPOSITORIES LIKE GITHUB, BIT BUCKET & GIT LAB.
PHP Developer
Jan 2016 - Jan 2017 (1 year)
Designing, Developing and Maintainance
Elimu
Master of Technology - Computer Science and Engineering
(2 years)
Bachelors in Engineering - Computer Engineering
(4 years)
Higher Secondary Certificate - Science
(2 years)
Chapisho
Background Subtraction techniques for video surveillance applications
International journal of Trend in Research and Development
Background subtraction is widely used approach for finding multiple moving objects. In this review, Study on Various background subtraction methods is done , where to extract foreground, background model with learning rate is used. The implementation of three traditional and most widely used methods Frame Differencing, Approximated Median Filtering and Gaussian Mixture Model shows how accurately each can identify moving objects with static camera.
Movie related information retrieval using semantic search
International journal of Computer Science and Communication
Most of the existing ontology based semantic search models requires user to enter a query in formal languages. A framework for ontology based information retrieval is proposed. In order to overcome the usability limitations, a query interface which requires the user to enter the query in natural language is provided. A domain-specific ontology based on movies is used to develop a prototype of the proposed model which improves search accuracy.
Wasiliana na Hetali T. kuhusu kazi yako
Ingia ili kujadili maelezo yoyote kwenye gumzo.
Udhibitisho
Ujuzi wa Juu
Angalia Wafanyakazi Huru sawia:
Pitia Onyesho Sawia
Mwaliko umetumwa kwa mafanikio
Asante! Tumekutumia kiungo cha kudai mkopo wako bila malipo kwa barua pepe.
Hitilafu fulani imetokea wakati wa kutuma barua pepe yako. Tafadhali jaribu tena.
Imeshindwa kunakili kwenye ubao wa kunakili, tafadhali jaribu tena baada ya kurekebisha ruhusa zako.
Imenakiliwa kwenye ubao wa kunakili.
Onyesho la kukagua linapakia
Ruhusa imetolewa kwa Uwekaji wa Kijiografia.
Muda wako wa kuingia umeisha na umetoka nje. Tafadhali ingia tena.