Nick L. Email & Phone Number

Denver, Co, Us

Denver, Co, Us

Palo Alto, Ca, Us

I'm leading a team of talented ML engineers developing cutting-edge computer vision models for analyzing critical power grid infrastructure. We are building models for inventorying components, detecting defects, assessing the proximity of nearby vegetation, detecting human & animal intrusions into closed areas, and so much more. We are leveraging advancements in deep learning and generative AI to enhance model accuracy and robustness in addition to developing production ready Python libraries for managing the full ML lifecycle from data annotation to model conceptualization / training to production inference. Key Contributions/Projects:● Directing the development of a multi-stage active learning pipeline for labeling hundreds of thousands of images using "machine in the loop" approaches to vector human annotators to the best pockets of data for labeling. ● Managing the research and development of a multi-stage computer vision pipeline for object detection, classification and defect perception that can assess several dozen power grid components for a multitude of complex defects and points of failure.● Spearheading the use of generative AI approaches for synthesizing novel component defects for improving model robustness.● Developed a learned approach for assessing image quality for filtering out substandard images prior to running through computer vision inference pipelines.● Developed techniques and models for combining drone image metadata with object detection models to infer real world dimensions of critical components (cross arm lengths, mounting heights, vegetation proximity, ...).

Lexington, Ma, Us

Responsibilities:In my role as a machine learning researcher in the Homeland Protection Division, I crafted bespoke deep learning/machine learning models tailored to specific sponsor needs. Generated production-ready Python libraries and applications for seamless integration into fieldable prototypes. Streamlined the process of containerizing source code and machine learning models into runtime deliverables. Key Contributions/Projects:● Spearheaded a team for over three years in a computer vision project, culminating in the development of a sophisticated deep learning model for matching multimodal aerial imagery with georectified satellite images.● Directed technical efforts in creating a low-shot object detection model, optimized to run efficiently on low-SWaP hardware at a remarkable speed of 30fps.● Developed reinforcement learning based flight schedule optimization strategies and a novel model explainability technique to explain optimization results.● Constructed a Python library for simulating and analyzing electromagnetic transient anomalies on a large scale.● Leveraged deep learning techniques for load estimation of power grid infrastructure.

Reston, Virginia, Us

Responsibilities:During this position, I played a key role within a Denver-centered AI & Machine Learning Research group, actively involved in pioneering R&D projects covering areas such as natural language processing, computer vision, and graph analytics.Key Contributions/Projects:● Lead development of a CV and NLP fusion model for extracting structured sections of text from unstructured documents.● Contributed as a pivotal member in the development of a deep learning pipeline to construct object graphs of named entities derived from a diverse corpus of reports.● Spearheaded a human-in-the-loop message classification project.● Orchestrated spatial-temporal anomaly detection endeavors.

Cherry Hills Village, Colorado, Us

Responsibilities:In this role, I drove quantitative research initiatives to develop and refine trading strategies. Directed the implementation of quantitative models for trading and risk management. Partnered with the Chief Investment Officer to integrate research findings into investment strategies. Headed the development of proprietary software and tools to support research efforts. Presented research findings and investment recommendations to institutional stakeholders.Key Contributions:● Steered the integration of avant-garde machine learning methodologies into futures and options trading strategies, positioning the firm at the forefront of innovation in the industry.● Headed the quantitative research division of Synergie Capital Management, a specialized hedge fund managing $30M in institutional assets.

Seattle, Washington, Us

Responsibilities: During this position, I served as a machine learning consultant within Avanade's Advanced Analytics team, guiding clients in harnessing their data for actionable insights. Additionally, I facilitated exploratory data analysis, statistical inference, data visualization, and machine learning techniques to unlock the potential of client data. Selected Accomplishments: • Played a pivotal role in a critical path project for one of the globe's leading hedge funds, delivering high priority solutions tailored to their unique requirements.

Conshohocken, Pa, Us

Responsibilities: In this role, I oversaw four quantitative investment funds as a portfolio manager and senior analyst. Conducted quantitative analysis and research to inform investment decisions. Developed and implemented trading strategies based on rigorous statistical analysis. Monitored portfolio performance and risk exposure, making adjustments as necessary to optimize returns. Utilized statistical models and proprietary software to assess market trends and identify opportunities. Collaborated with team members to refine investment processes and enhance portfolio performance.Key Achievements:● Led groundbreaking research on counter-trend trading, published in The Journal of Investment Strategies, contributed to two of 361's mutual funds securing top rankings in the managed futures category by Morningstar, Barclays, and Lipper.● Formulated and executed the firm's investment strategies and pioneering proprietary software, leading to a significant surge in assets under management from $25M to surpassing $1.3B.

Masters Of Science, Finance

B.S. Engineering, Mechanical Engineering And Economics