Toni Sushanth Uppalapati

Fähigkeiten und Kenntnisse

ChatGPT
Algorithm Development
Circuit Design
Altium
Computer Simulations
Application Development
Emotional Intelligence
Control Panel
Battery Management Systems
Data Acquisition
Linux
English
Data Analysis
Lithium-ion Batteries
Frequency Response Analysis
Debugging
Machine Code
GPIO
Process Automation
Dielectric Material Analysis
MATLAB
Electronics
Human Machine Interface
Microelectronics
Electronics Technology
Microsoft Power BI
Impedance Spectroscopy
NI LabVIEW
Industrial Automation
Scrum
Optical Data Transmission
Industrial Experience
Semiconductor Engineering
Oral Communication
Signal Processing
Internet of Things (IoT)
PLC Ladder Logic
LabVIEW
Soldering
Process Optimization (Manufacturing)
Test Engineering
Test Process Development
Programming
Visualization
Project Management
Project Work
Python (Programming Language)
Qualitative Research
Quantitative Analytics
Raspberry Pi
RISC-V

Werdegang

Berufserfahrung von Toni Sushanth Uppalapati

  • 1 Jahr, Nov. 2022 - Okt. 2023

    Master Thesis

    Infineon Technologies

    • Solved a real-world measurement accuracy problem in automotive Li-ion cell diagnostics — developed custom MATLAB signal reconstruction algorithms (Least Squares Wave + FFT) that improved impedance data reliability by 10%, directly supporting Infineon's battery R&D pipeline. • Built a full EIS analysis tool from the ground up, increasing measurement precision by 15% across electrochemical characterization workflows on production-grade Li-ion cells. • Bridged hardware and software through distributed voltag

  • 7 Monate, Feb. 2022 - Aug. 2022

    Project Thesis - Graphical Analysis of Dielectric Measurements Using LabVIEW

    Ostbayerische Technische Hochschule Regensburg

    • Automated a manual dielectric measurement workflow by integrating a custom LabVIEW VI with an LCR meter test bench, collecting capacitance (Cp), dissipation factor (D), and film thickness data at scale. • Built a frequency-dependence analysis tool in LabVIEW that revealed performance correlations across multiple dielectric materials — data used directly for material optimization research. • Delivered actionable characterization insights on dielectric material behavior under varying frequency and thickness

  • 4 Monate, Dez. 2018 - März 2019

    Technical Trainee

    Rashtriya Ispat Nigam Limited (Rinl)

    • Achieved 95% mold oscillation accuracy by monitoring and tuning the continuous casting process via HMI — a critical quality benchmark in steel production with direct impact on output quality. • Eliminated a recurring hardware failure by diagnosing faulty SPA cards and upgrading to Pepperl+Fuchs universal cards, restoring seamless operations and minimizing costly downtime. • Improved system reliability by rewriting PLC ladder logic to ensure clean hardware-software integration, reducing unplanned shutdowns

Ausbildung von Toni Sushanth Uppalapati

  • Bis heute 10 Monate, seit Okt. 2025

    Master of Science - MS

    University of Bayreuth

  • 4 Jahre und 1 Monat, März 2020 - März 2024

    Master of Engineering - MEng

    Ostbayerische Technische Hochschule Regensburg

  • 2015 - 2019

    Bachelor of Technology - BTech

    Andhra University

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