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Priyabrat Mishra

Angestellt, Graduate Student Research Assistant, Fraunhofer Institute for Mechanics of Materials IWM
Freiburg im Breisgau, Deutschland

Fähigkeiten und Kenntnisse

Deep Learning
Python
Communication skills
Arduino
Software Development
esp32
Softwareentwicklung
Englische Sprache
python
PyTorch
GitHub
Docker
NumPy
CI/CD
Agile Development
RESTful API
Git
Creativity
Team work
Analytical skills
Machine Learning
Embedded Systems
Computer Science
IT systems
DevOps
Reliability

Werdegang

Berufserfahrung von Priyabrat Mishra

  • Bis heute 2 Jahre und 11 Monate, seit Juli 2022

    Graduate Student Research Assistant

    Fraunhofer Institute for Mechanics of Materials IWM

    1. Developed AI-driven tools using 4 CNN architectures, automating workflows with 90% accuracy. 2. Processed, cleaned, and annotated 120 images for FAIR-compliant datasets, boosting performance. 3. Optimized CNN models with hyperparameter tuning, improving metrics and accelerating training. 4. Used TensorBoard for logging, monitoring, and debugging model performance trends. 5. Integrated data from 3 simulation engines and 6 databases into GitLab CI/CD for AI analysis.

  • 1 Jahr und 2 Monate, März 2018 - Apr. 2019

    Assistant systems Engineer

    Tata Consultancy Services Pvt Ltd

    1. Revamped a SWIFT payment system data pipeline with four teams, reducing storage needs by 20%. 2. Managed data cleaning and verification from 12 sources, cutting processing time by 10%. 3. Developed a Confluence-based knowledge base, reducing team onboarding time by 30%. 4. Documented three modules using open-source Python tools, boosting developer productivity. 5. Built ETL server data pipelines, lowering release cycle times by 15%. Skills: Python | Data | Agile | JIRA | Confluence | Git | Kanban

  • 4 Monate, Jan. 2017 - Apr. 2017

    Intern

    Bank of New York Mellon Technologies

    1. Collaborated with 3 mainframe developers and 1 project manager on financial projects using IBM Mainframes. 2. Provided software support, ensuring seamless transactions and robust data integrity. 3. Developed a batch processing ATM system with 18 core functionalities, handling ~100 transactions per batch. 4. Reduced batch processing time by 15% through streamlined workflows and optimized code. 5.Created technical documentation for new mainframe features, accelerating onboarding for junior developers.

Ausbildung von Priyabrat Mishra

  • Bis heute 5 Jahre und 8 Monate, seit Okt. 2019

    Embedded Systems Engineering

    Albert Ludwig's University of Freiburg

  • 3 Jahre und 9 Monate, Aug. 2013 - Apr. 2017

    Electronics and Communication Engineering

    Institute of Technical of Education and Research

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Grundlagen

  • Hindi

    Fließend

  • oriya

    Muttersprache

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