Open to opportunities

Daniel User

@danieluser4

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AI Research Scientist with expertise in machine learning and computer vision.

United States

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can apply my machine learning expertise to impactful projects.

I am an AI Research Scientist currently working at IBM Research, where I lead innovative projects in anomaly detection and visual information extraction. My recent achievements include refining segmentation frameworks and developing a custom LoRA wrapper for fine-tuning proprietary models, significantly enhancing performance and efficiency.

Previously, I interned at Rohde & Schwarz, where I developed generative AI architectures for synthesizing human images, contributing to advanced surveillance applications. My background in controls and software engineering at MRSI Systems has equipped me with a strong foundation in real-time control systems for robotics, further enhancing my technical capabilities.

With a Master’s degree in Communications and Electronics Engineering from the Technical University of Munich, I am passionate about leveraging machine learning and deep learning to solve complex problems. I thrive in collaborative environments and am dedicated to pushing the boundaries of AI technology.

Experience

Work history, roles, and key accomplishments

Current

Quantitative ML Researcher

Current

Self Employed

Nov 2022 - Present (2 years 7 months)

Conducting research on statistical and machine learning approaches for trading strategies, achieving notable profit through optimized performance metrics.

Time Series Analysis Machine Learning Trading strategies Statistical Modeling Python Data Analysis

Current

AI Research Scientist

Current

IBM Research

Sep 2023 - Present (1 year 9 months)

Leading the development of advanced AI models for anomaly detection and visual information extraction. Achieved significant performance improvements in model efficiency and accuracy, while collaborating with stakeholders on vision-based solutions.

Anomaly Detection Deep Learning Docker NLP Computer Vision

E-Commerce AI Fashion Model Developer

Self Employed

Mar 2023 - Sep 2023 (6 months)

Created a generative AI pipeline for fashion modeling, significantly reducing the need for physical photoshoots through innovative AI techniques.

Generative AI Fashion Modeling ControlNet Structured Synthesis Python Machine Learning

Generative AI Research Intern

Rohde & Schwarz

Jan 2023 - May 2023 (4 months)

Developed generative AI architectures for synthesizing human images, enhancing surveillance applications. Improved object detection capabilities through advanced machine learning techniques.

Generative AI StyleGAN CycleGAN Object Detection Inception Score Data Validation Surveillance Technologies Python Machine Learning

Controls/Software Engineer II

MRSI Systems — Mycronic

Jul 2017 - Jul 2019 (2 years)

Developed real-time control systems for robotics, enhancing manufacturing efficiency through user-friendly software tools. Focused on high-speed and high-precision applications.

Real Time Systems Robotics Software Development Python C++User Interface Design Automation

Education

Degrees, certifications, and relevant coursework

Technical University of Munich

Master of Science, Communications and Electronics Engineering

2019 - 2023

Completed a Master's degree in Communications and Electronics Engineering with a focus on Machine Learning and Deep Learning. The thesis involved Robotic Task Learning via Human Demonstration.

Wentworth Institute of Technology

Bachelor of Science, Electrical Engineering

2012 - 2016

Earned a Bachelor's degree in Electrical Engineering with a minor in Applied Mathematics. The program provided a solid foundation in engineering principles and practices.