Profilbild von Supriya Jayaraj AI & Machine Learning Engineer | Python Developer aus Freiburg

Supriya Jayaraj

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Letztes Update: 28.04.2025

AI & Machine Learning Engineer | Python Developer

Abschluss: Master of Science in Embedded Systems Specialization in Artificial Intelligence (ongoing)
Stunden-/Tagessatz: anzeigen
Sprachkenntnisse: Englisch (verhandlungssicher)

Schlagwörter

Künstliche Intelligenz Python Machine Learning Data Analysis Jira Microsoft Azure Devops Web Entwicklung Django Embedded C++ + 22 weitere Schlagwörter anzeigen

Dateianlagen

Supriya-Resume_280425.pdf

Skills

Python Development
Extensive experience in Python programming for AI, machine learning, and software development projects.

Machine Learning & AI
Proficiency in TensorFlow, PyTorch, and scikit-learn for developing and implementing ML models and AI solutions.

Data Science
Skilled in data analysis, visualization, and processing using libraries such as NumPy, Pandas, and Matplotlib.

Embedded Systems
Experience with embedded C, NI TestStand, and LabVIEW for developing embedded software and systems.

Web Development
Knowledge of web frameworks like Flask and Django for building web applications and tools.

Version Control & DevOps
Proficient in using Git, JIRA, and Azure DevOps for project management and collaboration.

Database Management
Familiarity with SQL and DuckDB for efficient data storage and retrieval in various projects.
 

Projekthistorie

11/2024 - bis jetzt
Research Assistant
Fraunhofer IAO

Researching deep learning models for anomaly detection, designing Streamlit-based visualization tools, and evaluating LLM models for automated captioning.

12/2022 - 04/2025
Research Assistant
Fraunhofer IBP

Developed AI-powered solutions for signal processing and real-time audio analysis, engineered ML models, and implemented various audio monitoring and analysis tools.

06/2023 - 06/2024
Software Developer
SceneSYS GmbH

Developed a CorNet evaluation tool, optimized cell image analysis pipelines, and authored software documentation using Sphinx.

03/2019 - 09/2021
Embedded Engineer
Honeywell Technology Solutions

Designed and deployed an ATP Station chatbot, developed ATE systems, and implemented data acquisition system software using NI TestStand and NI LabVIEW.

Reisebereitschaft

Nur Remote verfügbar
Profilbild von Supriya Jayaraj AI & Machine Learning Engineer | Python Developer aus Freiburg AI & Machine Learning Engineer | Python Developer
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