Supriya Jayaraj

Supriya Jayaraj AI & Machine Learning Engineer | Python Developer ƒ - #-ï LinkedIn Ð Leetcode § Github € Personal Website Profile Summary AI & Python Developer with 5 years of combined experience—including 3+ years in part-time roles focused on Machine Learning, Data Science, and Python development, and 2 years of full-time experience in embedded software engineering. Currently completing MSc in Embedded Systems (AI specialization) at the University of Freiburg, Germany. Proven expertise in deploying end-to-end ML pipelines, building AI-driven dashboards, and automating real-time data systems using Python, TensorFlow, Django, and Streamlit. Experienced in MLOps practices, model optimization, and scalable solution design. Eager to deliver impactful AI solutions in production environments across NLP, audio, and image domains. Professional Skills • Languages: Python, SQL • Frameworks: Flask, Django, Tkinter, Streamlit, MATLAB UI • AI/ML & DL: TensorFlow, PyTorch, Scikit-Learn, Keras, OpenCV • Embedded: Embedded C, NI Teststand, Labwindows CVI, LabVIEW Data & Viz.: NumPy, Pandas, Matplotlib, DuckDB • Tools: SVN, GIT, JIRA, Azure DevOps, Docker, Sphinx • Experience Research Assistant November 2024 - Present Fraunhofer IAO Stuttgart, Germany • Researched deep learning models for anomaly detection in system logs to identify potential security threats • Designed a Streamlit-based visualization tool for interactive log analysis and trend monitoring. • Evaluated LLM models for automated captioning of historical (1930s) photographs to improve archival workflows. • Implemented DuckDB and SQL for efficient data preprocessing and feature engineering in ML pipelines. • Skills acquired: Python, Deep Learning, LLMs, SQL, DuckDB, Streamlit, Data Visualization Research Assistant December 2022 - April 2025 Fraunhofer IBP Stuttgart, Germany • Developed AI-powered solutions for signal processing, real-time audio analysis, and ML model optimization using Python and TensorFlow. • Engineered and fine-tuned ML models with scikit-learn and TensorFlow, achieving precise 1-second feature extraction using PyACA. • Automated a Python-based audio monitoring system with sounddevice library and Matplotlib visualizations for real-time analysis. • Co-developed MATLAB GUI for measurement data management, automating serial number-based contact retrieval to improve operational efficiency. • Architected Django-based PreNoise web app with enhanced backend capabilities and integration with acoustic analysis frameworks. • Implemented SQ metric computations using MOSQITO and designed multi-language UI for CSV-based acoustic data analysis. • Skills acquired: Python, TensorFlow, scikit-learn, MATLAB, Django, PyACA, Signal Processing, ML Optimization Software Developer June 2023 - June 2024 ScreenSYS GmbH Freiburg, Germany • Developed a CorNet evaluation tool in Python, integrating Tkinter and OpenCV to create an intuitive and efficient user interface. • Optimized cell image analysis pipelines, drastically reducing processing time while enhancing software efficiency and scalability. • • Authored software documentation using Sphinx, ensuring streamlined workflows, knowledge retention, and team efficiency. Skills acquired: Python, OpenCV, Tkinter, scikit-learn, TensorFlow, AI/ML Pipeline, Image Processing, Sphinx Embedded Engineer March 2019 - September 2021 Honeywell Technology Solutions Bangalore, India • Designed and deployed an ATP Station chatbot in Python, significantly improving user interaction and operational efficiency. • Developed and integrated ATE, leveraging NI TestStand to streamline testing workflows and reduce cycle time. • Designed, implemented, and validated data acquisition system software using NI TestStand and NI LabVIEW. • Skills acquired: Python, NI TestStand, NI LabVIEW, Embedded Systems, Aerospace Testing, Six Sigma, Data Acquisition Education Albert-Ludwigs-Universität Freiburg April 2022 - Present Master of Science in Embedded Systems Specialization in Artificial Intelligence Freiburg, Germany Relevant Coursework - Artificial Intelligence - Machine Learning - Deep Learning - Automated Machine Learning - Image Processing and Computer Graphics - Computer Vision Centre for Development of Advanced Computing PG Diploma in Embedded Systems BMS Institute of Technology and Management Bachelor of Engineering in Electrical and Electronics August 2018 - February 2019 Bangalore, India July 2014 - June 2018 Bangalore, India Projects AI-Driven Wastewater Noise Classification (Master Thesis) June 2024 - April 2025 Researcher Uni Freiburg • Developed ML/DL models (CNN, MLP, SVM, Random Forest) to classify wastewater pipe noise using audio features (MFCCs, spectral bandwidth, RMS) from lab-recorded datasets. Deloitte Australia Data Analytics Job Simulation April 2025 Developer Forage • Completed a Deloitte job simulation in data analytics and forensic technology, designing a Tableau dashboard for data visualization and using Excel to classify datasets, analyze trends, and derive business insights. AutoML Tools Comparison (AutoGluon, FLAML)§ Developer • Evaluated 5 AutoML tools on tabular datasets; automated feature engineering with TPOT. Mini Projects August 2024 Uni Freiburg Masters 2017-Present Developer • § Stock Price Prediction | § Job Market Analysis | § CIFAR-10 Benchmark | Robotic Car (PID Control) | Chatbot Tool (Python NLP) | UAV System (Flight Stabilization) Certifications TensorFlow Developer Certificate (Beginner Level) | Data Science and Machine Learning – Ongoing | Python for Data Science – Coursera |Six Sigma Green Belt – Honeywell Languages English - Business Fluent (C1) | German – Intermediate (A2)