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Stevan R Antic

from Boca Raton, FL
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Connected to:
Anica Antic, 33Dejan Antic, 47Dragana Antic, 28Marina Antic, 47Mike Antic, 62Svetlana Antic, 61Vladimir Antic, 54Anna M Antich, 96Janet E Antich, 52Mayra Antich, 62

Stevan Antic Phones & Addresses

  • 6729 Boca Pines Trl, Boca Raton, FL 33433 (561) 488-0781 (561) 704-7081
  • 5669 Pacific Blvd, Boca Raton, FL 33433 (561) 620-0696
  • 390 Palmetto Park Rd, Boca Raton, FL 33432 (561) 620-0696
  • 390 W Palmetto Park Rd #508, Boca Raton, FL 33432
  • Palm Beach, FL
  • Delray Beach, FL

Work

Company: Hcl technologies May 2017 Position: Senior technical architect

Education

Degree: Master of Science, Masters School / High School: University of Belgrade 1989 to 1995 Specialities: Electronics Engineering

Skills

Software Development • Agile Methodologies • Xml • Software Project Management • Eai • Cloud Computing • Websphere • Data Integration • Web Services • Linux • Uml • Software Engineering • Architecture • Etl • Software Design • Java • Datastage • Databases • Architectures • Machine Learning • C • C++ • Javascript • Python • Digital Signal Processors • Assembly Language • Microcontrollers • Unified Modeling Language

Ranks

Certificate: Ibm Watson Data Platform Foundations

Interests

Children • Economic Empowerment • Civil Rights and Social Action • Politics • Education • Environment • Poverty Alleviation • Science and Technology • Tennis • Human Rights • Animal Welfare • Arts and Culture • Fishing • Ai and New Technologies • Health

Industries

Computer Software

Resumes

Resumes

Stevan Antic Photo 1

Senior Technical Architect

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Location:
Fort Lauderdale, FL
Industry:
Computer Software
Work:
Hcl Technologies
Senior Technical Architect
Ibm Jun 2014 - 2014
Software Engineer
Mercator Software 1999 - 2005
Software Engineer
University of Belgrade, School of Electrical Engineering 1996 - 1999
Electrical Engineer, Laboratory For Power Electronics and Electrical Drives
Education:
University of Belgrade 1989 - 1995
Master of Science, Masters, Electronics Engineering
Skills:
Software Development
Agile Methodologies
Xml
Software Project Management
Eai
Cloud Computing
Websphere
Data Integration
Web Services
Linux
Uml
Software Engineering
Architecture
Etl
Software Design
Java
Datastage
Databases
Architectures
Machine Learning
C
C++
Javascript
Python
Digital Signal Processors
Assembly Language
Microcontrollers
Unified Modeling Language
Interests:
Children
Economic Empowerment
Civil Rights and Social Action
Politics
Education
Environment
Poverty Alleviation
Science and Technology
Tennis
Human Rights
Animal Welfare
Arts and Culture
Fishing
Ai and New Technologies
Health
Certifications:
Ibm Watson Data Platform Foundations
Edx Verified Certificate For Introduction To Computational Thinking and Data Science
6.041X: Introduction To Probability - the Science of Uncertainty
Neural Networks For Machine Learning
Introduction To Deep Learning By National Research University Higher School of Economics on Coursera

Publications

Us Patents

File Object Browsing And Searching Across Different Domains

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US Patent:
20130036131, Feb 7, 2013
Filed:
Aug 2, 2011
Appl. No.:
13/196265
Inventors:
Stevan Antic - Boca Raton FL, US
Robert E. Loredo - North Miami Beach FL, US
Adrian X. Rodriguez - Durham NC, US
Assignee:
INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY
International Classification:
G06F 7/00
G06F 17/30
US Classification:
707769, 707E17014
Abstract:
A desired object stored on a computer system is retrieved by retrieving one or more objects based on an object attribute to produce initial search results, selecting an object from the initial search results, where the selected object is associated with one or more other attributes, and retrieving one or more additional objects based on one or more of the other attributes of the selected object to expand the initial search results and provide the desired object. The objects are linked to one or more tree structures each associated with an object attribute, such that the retrieving one or more additional objects includes traversing the tree structures linked to the selected object and associated with the one or more other attributes to identify the one or more additional objects.

Method And System For Performing Deterministic Data Processing Through Artificial Intelligence

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US Patent:
20210342700, Nov 4, 2021
Filed:
Apr 29, 2020
Appl. No.:
16/861524
Inventors:
- Boca Raton FL, US
Stevan ANTIC - Boca Raton FL, US
International Classification:
G06N 3/08
G06N 3/04
H04L 9/00
Abstract:
A method for performing deterministic data processing through Artificial Intelligence (AI) is disclosed. The method may include generating, via a deep learning network, a set of input feature vectors based on input data for a deterministic data processing model. The method may further include providing the set of input feature vectors to a trained AI model. The trained AI model may generate a set of output feature vectors that may correspond to an output data of the deterministic data processing model. The method may further include determining a variation between the set of output feature vectors and the output data, and iteratively performing incremental learning of the AI model based on the determined variation.

Modifying Data Cleansing Techniques For Training And Validating An Artificial Neural Network Model

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US Patent:
20210279564, Sep 9, 2021
Filed:
Mar 4, 2020
Appl. No.:
16/809198
Inventors:
- Boca Raton FL, US
Stevan ANTIC - Boca Raton FL, US
Assignee:
HCL AMERICA, INC. - Boca Raton FL
International Classification:
G06N 3/08
G06N 20/00
G06K 9/62
Abstract:
Disclosed is a method and system for modifying data cleansing techniques for training and validating an Artificial Neural Network (ANN) model. The method comprises normalizing and validating data of different formats, obtained from different sources. The ANN model is trained using the normalized and validated data. Alternatively, the ANN model could be trained using data of a common format obtained from a deterministic data model. The trained ANN model is used to generate ANN stochastic data. Data validation component from the deterministic data model is reused for the normalizing and the validating of the data, for validating the ANN stochastic data.
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Stevan R Antic from Boca Raton, FL Get Report