Lakshmi Chennakesavalu

writes the final thesis.

Angestellt, Masters Thesis, University of Siegen

Siegen, Deutschland

Über mich

I am on the cusp of completing my Master's degree in Computer Science with a thesis work focused on Developing an Algorithm for Neural Network based Object Detection for FPGA. While I may be a novice in the field, my unwavering commitment to learning and growth drives me to excel. Moreover, my enthusiasm extends to related fields, including algorithm design and programming. My goal is to find an exciting and challenging role in programming that allows me to apply my problem-solving abilities and innovation in crafting efficient solutions. I am enthusiastic about connecting with recruiters who discover my profile intriguing and see the potential I bring to their teams.

Fähigkeiten und Kenntnisse

Microsoft Office
Python
PySpark
PyTorch
VHDL
Java
HTML CSS Javascript
C
C++
Xilinx Vivado
pyspark
palantir foundry
azure iot
Data Analysis

Werdegang

Berufserfahrung von Lakshmi Chennakesavalu

  • Bis heute 1 Jahr und 3 Monate, seit Juli 2023

    Masters Thesis

    University of Siegen

    Developing Algorithm for Nerual Network based Object Detection for FPGA

  • 6 Monate, Nov. 2022 - Apr. 2023

    Intern Developer: Global IT Production, Supply Chain

    Lilium GmbH

    Data Analysis: Worked on analyzing data from production, logistics using PySpark on Palantir Foundry and designing dashboards Industrial IoT: Working with a team for demonstrating a pilot project for connecting sensor data on Azure IoT.

Ausbildung von Lakshmi Chennakesavalu

  • Bis heute 3 Jahre, seit Okt. 2021

    Computer Science

    University of Siegen

  • 3 Jahre und 9 Monate, Aug. 2016 - Apr. 2020

    Information Technology

    University of Pune

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Grundlagen

  • Tamil

    Muttersprache

  • Hindi

    Fließend

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