Muddsair Sharif

Angestellt, Machine Learning Engineer/Learning Analytics/MLops, Hochschule für Technik Stuttgart

Leinfelden-Echterdingen, Deutschland

Fähigkeiten und Kenntnisse

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
Künstliche Intelligenz
Analytik
Framework
Deutsch
Englische Sprache

Werdegang

Berufserfahrung von Muddsair Sharif

  • Bis heute 1 Jahr und 7 Monate, seit Dez. 2022

    Machine Learning Engineer/Learning Analytics/MLops

    Hochschule für Technik Stuttgart
  • 4 Jahre und 6 Monate, Juli 2018 - Dez. 2022

    Researcher- High Performance Computing

    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 Jahre, März 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 Jahr und 3 Monate, Dez. 2014 - Feb. 2016

    Data Scientist

    Daimler TSS

  • 1 Jahr und 1 Monat, 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 Jahr, Dez. 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 Jahre und 11 Monate, Okt. 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.

Ausbildung von Muddsair Sharif

  • 11 Monate, Jan. 2014 - Nov. 2014

    Softwaretechnik

    Stanford University

    Data Science

  • 2 Jahre und 2 Monate, Sep. 2010 - Okt. 2012

    software Technology

    Linnaues University Sweden

    Information Visualization

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Gut

  • Urdu

    -

Interessen

Photography
Surfing
Travel
Cricket
Fitnesstraining

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