With a robust background in Machine Learning, Computer Vision, and Software Engineering, I blend my passion for AI with hands-on experience to develop transformative AI-powered software solutions. My journey, from earning an M.Sc. in Communication Engineering from TUM to contributing to groundbreaking projects at Fraunhofer-Gesellschaft and leading AI initiatives at Capgemini, has equipped me with a unique blend of technical expertise and innovative problem-solving skillsMy career spans impactful roles at Fraunhofer AISEC and Capgemini, where I developed and implemented AI solutions that equipped me with a unique blend of technical expertise and innovative problem-solving skills. My expertise in Python, Java, OpenCV, PyTorch, and agile methodologies allows me to innovate and drive technological advancements. My collaborative approach and commitment to continuous learning enable me to thrive in dynamic environments, always aiming to push the boundaries of what's possible with AI. Let’s connect and see how we can leverage AI to drive success and technological advancements in your organization.Programming Skills & Libraries: Python, Java, C++, OpenCV, Numpy, Matplotlib, PandasSoftware Development:Agile Methodologies, OOP Concepts, Git, Docker, JIRA, Design PatternsAI Techniques:Computer Vision, Machine Learning, Adversarial ML, Deep Learning, Semantic Image Synthesis, Image Generation, Adversarial Attacks, Feature EngineeringML Frameworks & Tools:PyTorch, Tensorflow, sci-kit-learn, Tensorboard, Weights & Biases
Fraunhofer Iis
View- Website:
- iis.fraunhofer.de/en.html
- Employees:
- 1162
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Research AssistantFraunhofer IisErlangen, By, De
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Software Engineering InternFuturail Jul 2024 - Oct 2024Munich, Bavaria, Germany1. Engineering a GPS-based track labeling system to identify train routes.2. Developed and validated Pydantic data models for processing and storing large-scale GPS data from a RESTful API, integrating Python, Bazel, and SQLite for efficient data handling and querying.3. Built train route visualizer using the Folium library, with automated testing through UnitTest and Pytest, and version control implemented via GIT and GitHub Actions. -
Working StudentFraunhofer Aisec Aug 2023 - Feb 2024Garching, Bavaria, Germany1. Collaborated in research and development with fellow research scientists and assisted in formulating a research paper based on Domain Separation Networks.2. Trained a regression-based model and implemented adversarial attacks such as FGSM and PGD to analyze the vulnerabilities and security threats of the model. -
Working StudentFraunhofer Aisec Mar 2022 - May 2023Munich, Bavaria, Germany1. Worked on Adversarial Machine Learning, researching how the vulnerabilities in machine learning systems become a security threat.2. Performed experimental analysis towards making the ML models more robust against Patch based attacks.3. Conducted Literature Survey, analyzed results, and assisted in formulating research papers.
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Research Intern (Masters)Technical University Of Munich Oct 2022 - Dec 2022Munich, Bavaria, GermanyTitle: 'Unsupervised Semantic Image Synthesis using Feature-based Layouts'1. Proposed a framework for semantic image synthesis with SPADE as the generative backbone.2. Designed a custom feature-based semantic layout providing positional and style information about the objects in the scene to be used as conditional input.3. Analysed the image generation capability for the Cityscapes dataset for two frameworks used in layout design namely SIMCLR and Autoencoders. -
Team LeadCapgemini Jan 2020 - Oct 2020Pune, Maharashtra, India1. Engaged with clients to collect requirements, offered solutions for different scenarios using automation and machine learning functionalities and ensured the final product met operational targets.2. Collaborated with the team to build and deploy a comprehensive Automation ML pipeline for information retrieval tasks using Workfusion.3. Created software bots to streamline tasks in web and desktop applications. -
Associate ConsultantCapgemini Oct 2018 - Dec 2019Pune1. As a Machine learning engineer, responsible for developing an intricate machine learning model that extracted data from attachments received in emails.2. As a Robotics Process Automation developer, responsible for the analysis, design and development of bot tasks to automate various web and desktop applications.
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Senior Software EngineerCapgemini Aug 2017 - Sep 2018Pune1. Collaborated with the automation team for efficient design and development of the process automation task.2. Developed in-house Proof of Concept(POC) to showcase the automation tool capabilities.3. Programmed software bots for web and desktop automation tasks.
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Research Intern (B. Tech)Semiconductor Device Research Lab,University Of Delhi May 2016 - Jul 2016New Delhi Area, IndiaTitle: Modelling and Simulation of Channel Engineered Double Gate Junction Less Field Effect Transistor DG-JLFET1. Developing the analytical model for a channel-engineered Gaussian Doped DG-JLFET.2. Validating the analytical model by comparing and analyzing the results from the ATLAS simulation results.
Ayush Kumar Skills
Ayush Kumar Education Details
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1.5 (German Equivalent)
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9.38/10 (Indian Equivalent) || 1.3/5 (German Equivalent) -
Fatherson Public School93% -
Fatherson Public School9.6/10
Frequently Asked Questions about Ayush Kumar
What company does Ayush Kumar work for?
Ayush Kumar works for Fraunhofer Iis
What is Ayush Kumar's role at the current company?
Ayush Kumar's current role is Research Assistant.
What schools did Ayush Kumar attend?
Ayush Kumar attended Technical University Of Munich, National Institute Of Technology Hamirpur, Fatherson Public School, Fatherson Public School.
What skills is Ayush Kumar known for?
Ayush Kumar has skills like Arduino, Core Java, C, Matlab, Management, Research, Powerpoint, Leadership, Training, Photoshop, Microsoft Word, Tanner Tools.
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Ayush Kumar
San Francisco, Ca -
Ayush Kumar
Information Engineering @ Tum | Data Science, Machine Learning | Ai Career Kickstart Program @ Appliedai Institute For EuropeHeilbronn1tum.de -
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