Jesteena Jose
Working Student – GenAI & AI Services Support @ Siemens Healthineers
About
I’m an M.Sc. student in Artificial Intelligence for Industrial Applications at OTH Amberg-Weiden, focused on building applied AI systems that move from ideas to working, testable solutions. My main interests are Machine Learning / Deep Learning, Generative AI & NLP (LLM pipelines, Transformers, LoRA, OCR, retrieval + generation concepts), and decision-making methods such as contextual bandits / reinforcement learning for personalization. I enjoy working end-to-end: data preparation and validation, model experimentation, evaluation, and communicating results in a clear way so teams can decide what to do next. I also bring a strong engineering foundation from 2+ years as a software developer in production environments, which helps me build AI workflows that are reproducible, maintainable, and reliable (clean code, structured debugging, documentation, and teamwork).
Germany
Amberg
Computer Software
LangGraph, Energy System Optimization, Artificial Intelligence (AI), Reinforcement Learning, Natural Language Processing (NLP), Machine Learning, PyTorch, Matplotlib, Embedded Intelligence, Deep Learning, Autonomous Robot, InfluxDB, PostgreSQL, Angular, Python (Programming Language), JavaFX, JavaFX Scene Builder, Webots, React.js, NgRx
Experience

Software Developer 1
Kochi, Kerala, India
At SOTI Inc., I significantly contributed to various high-impact projects, including Design Studio, SOTI XSight, and Mobicontrol. Utilizing my front-end expertise in Angular and NgRx, I developed user-friendly interfaces and implemented key features that enhanced user experience. I was responsible for delivering clean, bug-free code, supported by unit tests using Jasmine. My focus on maintaining code quality and efficiency helped streamline project functionality, leading to enhanced user satisfaction.I played a key role in team collaboration, participating in code reviews and solving critical software bugs.
Jesteena Jose's Contact Information
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