Supreeth Mysore Venkatesh

is researching.

Angestellt, Doctoral Researcher, DFKI GmbH

Saarbrücken, Deutschland

Fähigkeiten und Kenntnisse

Python
Machine Learning
DevOps
Automation
Microservices
Docker
RabbitMQ
Microsoft Office
Linux
Embedded Software
Scrum
Agile Development
Automotive software
V-Model
C
Git
Clearcase
MongoDB
Data Science
Recommender Systems
Natural Language Processing (NLP)
Numpy
Pandas
Scikit
Pytorch
Flask
Java
JavaScript
Perl
CGI
Golang
Clean Architecture
Contexts and Dependency Injection
Microsoft Azure
Sentimental Analysis
Softwareentwicklung
Cloud Computing
Werkzeug

Werdegang

Berufserfahrung von Supreeth Mysore Venkatesh

  • Bis heute 1 Jahr und 5 Monate, seit Jan. 2023

    Doctoral Researcher

    DFKI GmbH

    Pursuing a Ph.D. in Computer Science with the Technical University, Kaiserslautern, and the German Research Center for Artificial Intelligence (DFKI). Currently working on Quantum Computing for solving computationally expensive tasks in Earth Observation (EO) data analysis.

  • 3 Jahre, Dez. 2019 - Nov. 2022

    Junior Researcher Machine Learning

    AWS Institut für digitale Produkte und Prozesse

    Project KIKI: Automatic defect detection of sewer pipes using image processing and computer vision techniques. MLOps using microservices and clean architecture. Worked on an industrial project for Entsorgungs Verband Saar for anomaly detection using sensor(time series) data. Project DatEnKoSt: Analysis of smartphone IMU sensor data for road quality assessment. Project MYOW: A recommender system for the UI of a web app using NLP techniques.

  • 7 Monate, Apr. 2021 - Okt. 2021

    Teaching Assistant

    Universität des Saarlandes

    Tutor for the course Digital Signal Processing: -Presenting Solutions for weekly assignments. -Preparing Assignment questions and complete Project for the course.

  • 9 Monate, Mai 2019 - Jan. 2020

    Software Developer - Working Student

    AWS Institut für digitale Produkte und Prozesse

    Handle the incoming data of worker's EEG brain signals, learn his mental state and send recommendations to robot associated to that worker. The entire software framework was built into a micro service architecture using: MQTT lens as an EEG headset simulator, HiveMQ as MQTT broker, Envoy Proxy as reverse proxy. RabbitMQ as a message Broker, Node as a backend service, Angular framework as a UI Dashboard, and all these services are Dockerized

  • 1 Jahr und 5 Monate, Sep. 2017 - Jan. 2019

    Young Graduate Trainee

    Infineon Technologies

    Process automation, tool development using python. Testing of AURIX 1GMCAL software products for releases using proprietary embedded tools like UVP, HyperTerminal, C compilers like GNU, Tasking and Windriver supporting two AUTOSAR versions(AS321 and AS403) and collated with Jenkins automation framework. IBM Clearcase was used as the version control system.

  • 7 Monate, Jan. 2017 - Juli 2017

    Software Intern

    Motorola Mobility

    Developed a tool to fetch data from Cloud(Google BigQuery) and create local custom views.

  • 1 Jahr und 1 Monat, Juni 2016 - Juni 2017

    Placement Coordinator

    The National Institute of Engineering

     Shortlisted students' data comprising of their academic records and any additional data on demand was passed on to the recruiters.  Conveying information from the recruiters and decisions from the placement division at The National Institute of Engineering, Mysuru for the Final Year Undergraduates during the in-campus placement drives.  ISO 9001:2008 certified

Ausbildung von Supreeth Mysore Venkatesh

  • Bis heute 1 Jahr und 5 Monate, seit Jan. 2023

    Quantum Artificial Intelligence

    TU Kaiserslautern

    Pursuing a Ph.D. in Computer Science with the Technical University, Kaiserslautern, and the German Research Center for Artificial Intelligence (DFKI). Currently working on Quantum Computing for solving NP-Hard problems in AI.

  • 3 Jahre und 6 Monate, Mai 2019 - Okt. 2022

    Mathematics and Computer Science

    Universität des Saarlandes

    Courses: - Inverse Problems - Dynamical Systems - Neural Networks Theory and Implementation - Artificial intelligence - Digital Signal Processing - Human-Computer Interaction - Mathematical Aspects of Quantum Mechanics - Hybrid Learning with Reinforcement Learning - Numerical Laboratory in Computerized Tomography Thesis: On Quantum Coalition Structure Generation.

  • 3 Jahre und 11 Monate, Aug. 2013 - Juni 2017

    Information Science and Engineering

    The National Institute of Engineering

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Grundlagen

  • Hindi

    Gut

  • Kannada

    Muttersprache

Interessen

Rooting
flashing and testing custom ROMs for android phones (a member at xda-developers)
Solving cubes
puzzles
Playing badminton
cricket
carrom and chess
Watching TED talks
life hack tips and implementing them
Photo editing and creating memes

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