David Kroell Email & Phone Number

Reston, Va, Us

Reston, Virginia, United States

Transitioned to a more in-depth role at Node Digital. Continuing work on our product line as well as our work with other companies like Sensigo. For Node's product line, I was tasked with consolidating the individual professional services efforts into a single pipeline which would serve as an overarching AI/ML Product Pipeline that would provide a solution for leveraging prior infrastructure on a variety of different tasks.This infrastructure was developed my myself, as well as a team which I led within the team working on Growth initiatives at Node Digital. I worked on implementation of AI Architectures which accommodated a variety of different use cases which already existed within the company across both commercial and government initiatives.

Reston, Virginia, United States

Projects:---------------Sensigo:Sensigo is an AI Startup which pioneers predictive maintenance in Porsche cars. I helped them pioneer new data science methods to help them improve their model performance for different car components and maintenance portions.I utilized synthetic data creation and the utilization of Generative AI models such as GANs and Variational Auto-encoders to push the limits of their predictive maintenance models.---------------USGS:In my current project with the USGS's SHEDS platform, I’m working on making a PyTorch model even smarter, building a cool automated pipeline for machine learning, and setting up a system that can instantly predict streamflow from just pictures of streams, all using AWS SageMaker.

Reston, Virginia, United States

At Kroell's Korner LLC, my sole venture, I specialize in Cloud Engineering and AI Consulting, delivering impactful solutions to startups and SMEs. My expertise encompasses:- Data Engineering & Science: Architecting robust data pipelines and leveraging advanced analytics to unearth insights that drive decision-making and innovation.- MLOps & Machine Learning Engineering: Implementing efficient ML workflows and engineering scalable ML systems that enhance business processes and product offerings.- Cloud Engineering: Designing and managing cloud infrastructure to optimize computing resources and facilitate the deployment of AI and machine learning models.- AI Strategy Consultation: Offering strategic advice to fully harness the potential of AI and cloud technologies, ensuring our clients remain at the forefront of digital transformation. This includes ML Productization services and implementation of software products for mass-use.My commitment lies in navigating companies through their tech evolution, ensuring they leverage the power of AI and cloud computing for sustainable growth.

Herndon, Virginia, United States

At Expedition Technologies, I engaged with state-of-the-art machine learning software applications, specifically engineered to tackle some of the most challenging issues in Signal Processing. My focus was particularly directed towards unraveling the complexities of 'Patterns of Life' and executing intricate deinterleaving tasks, among other high-level responsibilities.I successfully built robust software products and machine learning algorithms to accompany them. These products were for General and specified purposes in the field. I successfully wrote robust code, in-line with industry standards. I worked on projects that succeeded in winning SBIR contracts and second-phase SBIRs in the Radio-Frequency domain. I wrote around 3 or 4 different scientific papers that showcased capabilities of in-house machine learning algorithms and wrote software that successfully demonstrated what was written. My expertise spanned across a diverse spectrum of technologies, including semi-supervised learning models and Incremental Gaussian Mixture Models (IGMMs). Furthermore, I contributed to the scientific community by authoring research papers, elucidating the advanced methodologies we employ to address multifaceted problems. My work underscores the commitment to technological innovation and the pursuit of leading-edge solutions at Expedition Technologies.In addition to these specialized tasks, I also managed fundamental Signal Processing applications and routinely engage with radar signal processing. This breadth of expertise - from basic applications to complex problem-solving - enabled me to maintain a comprehensive perspective and offer versatile solutions in the rapidly evolving field of Signal Processing.

Manassas, Virginia, United States

Promoted to Software Engineer, leading a team to conduct automated test and scalability of Sonar Systems.As the Feature Team Leader and Scrum Master for the Navy's Acoustic Rapid COTS Insertion (ARCI) program, I spearheaded software implementation projects. My responsibilities included advanced development, production, and testing programming in Java for Workstation Displays and Python for Custom Automated Test Suite (CATS) applications.I implemented solutions using C/C++, which were used for Workstation Displays Development and the implementation of Signal Processing algorithms, as well as Hardware Driver Development.

Manassas, Virginia, United States

Integrated workstation displays and signal processing output data-sets. I also used MATLAB for integration and testing of processing data-sets such as FIR filters, verifying Impulse Response Coefficients which aided in continuous integration and deployment.Furthermore, I applied Machine Learning techniques to generate scenarios and verify capabilities for CATs, thereby enhancing system robustness and predictive accuracy. This effort underscored my commitment to harnessing advanced technology to drive mission-critical success in the ARCI program.

Newport News, Virginia, United States

As part of the Department of Physics, Computer Science, and Engineering at CNU, I had the honor of being an integral member of the Unmanned Aerial Systems (UAS) team. Between 2015 to 2018, we consistently participated in the prestigious AUVSI SUAS Competition.During these competitions, we tapped into our depth of technical knowledge to address complex challenges spanning Systems Engineering, Interoperability, Artificial Intelligence, and Software Engineering. Balancing these intricate components, while navigating technical challenges and orchestrating flight schedules, was a rigorous exercise in continuous learning and collaboration.My responsibilities led me to engage with tools like MavProxy for handling Mavlink packets and hardware components, notably the Pixhawk. Furthermore, I played a pivotal role in devising flight plans using advanced search algorithms, including A* pathing, and dynamic algorithms to circumvent virtual obstacles.Our collective efforts were not only educational but also rewarding. Thanks to our dedication and expertise, the CNU UAS team secured a place among the top 15 schools globally. This achievement also led to the university endorsing our project with a grant exceeding $10,000.

Manassas, Virginia, United States

Software Engineering position working on sonar systems displays as well as fixing bugs and developing new applications and capabilities for use on submarines. Worked with some of the most talented engineers in the profession.

Manassas, Virginia, United States

Systems integration and testing internship. I learned about sonar systems and developed system maintenance and configuration implementations to aid development and application robustness. Worked in a Lab setting.

Newport News, Virginia, United States

Integration and Implementation of Workstation Displays solutions using the JavaFX framework. Configured, installed and tuned Displays-based systems for performance in Relational databases.

Masters Of Science, Computer Science

Concentration in Machine Learning

Bachelors Of Science, Computer Science And Engineering

Master Of Science - Ms, Systems Engineering

Dropped out, and transferred.