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islamabad,
pakistan
Ni saa 4:34 AM hapa
Alijiunga Julai 18, 2011
1 Pendekezo
Muhammad Nadir K.
@nadirkhan83
5.8
5.8
100%
100%
islamabad,
pakistan
100%
Kazi Zilizokamilika
98%
Kwa Bajeti
100%
Kwa wakati
50%
Kiwango cha Kuajiriwa Tena
Senior Software Engineer
Wasiliana na Muhammad Nadir K. kuhusu kazi yako
Ingia ili kujadili maelezo yoyote kwenye gumzo.
Kaguzi
Mabadiliko yamehifadhiwa
Inaonyesha 1 - 5 kutoka kwa 12 - hakiki
$144.00 USD
Java
MySQL
Amazon Web Services
•
$2,000.00 USD
PHP
Software Architecture
•
$1,000.00 USD
•
€388.00 EUR
Java
Mobile App Development
Android
•
Uzoefu
Senior Software Engineer
Apr 2011 - Sasa
o Initially, worked on piping design and simulation software, AutoPIPE. Worked on exporting to a DGN file format (Bentley common file format), and later worked on GUI enhancement tasks.
o Currently, working on offshore structural design and analysis software, SACS. Working on adding extra GUI features and consolidation of legacy FORTRAN-based modules.
Software Engineer
Jan 2007 - Des 2010 (3 years, 11 months)
o Optimized and refactored (for performance/speed) the Moldflow 3D Flow Analysis Solver application.
o Optimized and refactored (for performance/speed) the Moldflow Midplane/Dual Domain Flow Analysis Solver application.
o Optimized (for quality) the tetrahedral mesh generator algorithm.
o Adopted the Ribbon UI look (as in MS Office 2007) for Moldflow products.
o Integrated easy-to-use, 3rd party graphics-view manipulation tools into Moldflow products.
o Integrated the Customer Involvement Program (CIP)
Elimu
Master of Computer Science [Minor Thesis]
(2 years)
B.S. in Computer Systems Engineering
(4 years)
Chapisho
Online Urdu Ligature Recognition using Spatial Temporal Neural Processing
IEEE INMIC 2005
A scientific recognition of Urdu handwriting using computer-generated features of online sample handwriting is presented in this paper. Handwriting samples are taken through digitalized tablet, and digitized for processing on a computer. Measures (features) are extracted on the handwriting samples at the space and time level. We utilize newly developed spatio-temporal artificial neuron (STAN) to classify spatio-temporal patterns (STPs) present in handwriting. This neuron is embedded in ordinary artificial n
Wasiliana na Muhammad Nadir K. kuhusu kazi yako
Ingia ili kujadili maelezo yoyote kwenye gumzo.
Udhibitisho
Vyeti
Ujuzi wa Juu
Angalia Wafanyakazi Huru sawia:
Pitia Onyesho Sawia
Mwaliko umetumwa kwa mafanikio
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Onyesho la kukagua linapakia
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Muda wako wa kuingia umeisha na umetoka nje. Tafadhali ingia tena.