Muddsair Sharif

Basic

Angestellt, Researcher, Hochschule für Technik Stuttgart

Stuttgart, Germany

Skills

Softwareentwicklung
Machine learning
Reinforcement Learning
Data Analytics
Automative
Business Intelligence
Java/J2EE
Edge Computing
Cloud Computing
Service-Oriented Architecture
High Performance Computing
Internet of Things
Modern Data Architecture
Java
Python
PyTorch
R programming language
Deep Learning
Data Science
Technology
Application
AWS
JavaScript

Timeline

Professional experience for Muddsair Sharif

  • Current 4 years and 6 months, since Jul 2018

    Researcher

    Hochschule für Technik Stuttgart

    COaaS:Continuous Integration and Delivery framework for HPC using Gitlab-Runner Context-Aware optimal charging distribution using Deep Reinforcement Learning. ARaaS Framework: Context Aware Optimal charging Distribution as a Service using Deep Reinforcement Learning

  • 3 years, Mar 2016 - Feb 2019

    Researcher IoT

    Universiteit Antwerpen

    The overall goal of the IoT project is to provide an interoperable and open IoT framework, with associated engineering tools and methodology, for seamless integration of heterogeneous IoT platforms, regardless of the application domains. Design and Implementation of an Open Cross-Layer Framework for Interoperability of IoT Platforms. Definition of Techniques and Tools for interoperability at the different IoT Platform Layers.

  • 1 year and 3 months, Dec 2014 - Feb 2016

    Data Scientist

    Daimler TSS

  • 1 year and 1 month, Nov 2013 - Nov 2014

    Data Scientist

    Polarax Insurance Capital Singapore

    •AWS [S3, EC2, EMR] •Hadoop, MapR •DriveRight Analytics Server Jobs •Experience with analytics languages Python and R. •knitR, R Markdown. •RStudio [yhatr, Slidify, Shiny,rGoogleVis]

  • 1 year, Dec 2012 - Nov 2013

    Software Research Engineer

    Ericsson AB, Sweden

    Mobile data traffic modeling GPEH log fault tolerance visualization. Packet aggregation using machine learning technique. Measurement data using statistics and filtering methods. Machine learning algorithms on traffic data selection. BIG Dataset Visualization HADOOP Development

  • 3 years and 11 months, Oct 2006 - Aug 2010

    Senior Software Engineer

    CROEM Pakistan

    NeoWallet enhances your relationship with your clients by making them not just customers, but members. By processing and charging for your services through a membership system you create a captive audience to whom you can offer additional products and services. It allows the setting of multiple funding sources for its member’s accounts. More importantly, it allows your clients to schedule automatic payments at given time intervals or consumption thresholds.

Educational background for Muddsair Sharif

  • 11 months, Jan 2014 - Nov 2014

    Softwaretechnik

    Stanford University

    Data Science

  • 2 years and 2 months, Sep 2010 - Oct 2012

    software Technology

    Linnaues University Sweden

    Information Visualization

Languages

  • English

    Fluent

  • German

    Intermediate

  • Urdu

    -

Interests

Photography
Surfing
Travel
Cricket
Fitnesstraining

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