Nick L. Email and Phone Number
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Hello everyone! I'm Nick and machine learning is my craft. I’m an experienced professional leading ML engineering and research teams, specializing in customized model development and delivering production-ready applications.What makes me stand out is my rich background in the full lifecycle of developing predictive AI models to improve scale, accuracy, and efficiency of business processes and strategic initiatives across multiple industries: critical infrastructure, national security, agriculture, and quantitative finance.Throughout my career, I have earned a stellar reputation leading cross-functional teams and driving innovative projects that leverage various machine learning verticals, including but not limited to computer vision, natural language processing, generative AI, reinforcement learning, and Bayesian inference.My ability to translate complex technical concepts into actionable insights for stakeholders has been well appreciated over the years. Moreover, I bring keen communication, interpersonal, problem-solving, strategic / analytical thinking, management, and adaptability skills.I am dedicated to driving business / mission success through the strategic application of data-driven methodologies and advanced analytical techniques. I am technically proficient in:______________________________Bayesian statistics | Deep Learning | Machine Learning | Computer Vision | Natural Language Processing (NLP) | Time Series Analysis | Object Detection | Anomaly Detection | Transfer Learning | Self-supervised Learning | Agile Development Methodologies | Model Deployment & Scaling | REST APIsPython | PyTorch | Pyro | NumPy | Pandas | Scikit-Learn | FastAPI | Linux | Docker | Git | AWS LambdaIf you want to know more about me, feel free to send me a message on LinkedIn.
Mit Lincoln Laboratory
View- Website:
- ll.mit.edu
- Employees:
- 4111
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Machine Learning And Ai ResearcherMit Lincoln LaboratoryDenver, Co, Us
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Machine Learning Team LeadBuzz Solutions Jun 2024 - PresentPalo Alto, Ca, UsI'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, ...). -
Machine Learning Engineer | Ai ResearcherMit Lincoln Laboratory May 2021 - Jun 2024Lexington, Ma, UsResponsibilities: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.
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Data Scientist | Ai ResearcherCaci International Inc Jul 2019 - May 2021Reston, Virginia, UsResponsibilities: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. -
Head Of Quantitative ResearchSynergie Capital Management Dec 2017 - Jun 2019Cherry Hills Village, Colorado, UsResponsibilities: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. -
Data Scientist ConsultantAvanade Feb 2017 - Dec 2017Seattle, Washington, UsResponsibilities: 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. -
Senior Quantitative Analyst | Portfolio Manager361 Capital Mar 2010 - Feb 2017Conshohocken, Pa, UsResponsibilities: 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.
Nick L. Skills
Nick L. Education Details
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University Of Denver - Daniels College Of BusinessFinance -
Colorado School Of MinesMechanical Engineering And Economics
Frequently Asked Questions about Nick L.
What company does Nick L. work for?
Nick L. works for Mit Lincoln Laboratory
What is Nick L.'s role at the current company?
Nick L.'s current role is Machine Learning and AI Researcher.
What is Nick L.'s email address?
Nick L.'s email address is li****@****ail.com
What is Nick L.'s direct phone number?
Nick L.'s direct phone number is +130322*****
What schools did Nick L. attend?
Nick L. attended University Of Denver - Daniels College Of Business, Colorado School Of Mines.
What skills is Nick L. known for?
Nick L. has skills like Financial Modeling, Statistical Modeling, Hedge Funds, Options, Managed Futures, Equities, Quantitative Trading Strategy Development, Quantitative Modeling, Equity Trading, Genetic Algorithms, Visual C#, F#.
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