Adam Howarth
• Wells, ME 04090
• 2072890210
• adamhowarth3@gmail.com
Professional
Summary
Data
Scientist proficient in the research, design, development, and market
activation of real-time machine learning products. Experienced in applying
state-of-the-art analytic solutions to high-performance problems in SOC/NOC
workflows.
Skills
Golang Pytorch Suricata Packet
Capture Dynamic
SARIMA Models Graph
Convolutional Networks |
High-Performance
Model Inference Various
Clustering, Tree and MLP Models LLM
Acceleration of Development Exploring
LLM Product Integration Information
Assurance |
Work
History
Data
Scientist,
08/2019 to Current
Plixer – Kennebunk, ME
Research and Development Projects:
·
Dynamic Harmonic Regression based
forecasting engine for network flow data with long seasonality and high
frequency observations. Project lead from research-based conception to
implementation.
·
Sample and aggregate pipeline for
online training and inference against graph data structures induced from live
network observations. Project lead from research-based conception to
implementation.
·
High performance indexer enabling the
storage and search of host to host observations.
Project lead from design to implementation.
·
Active work includes dynamic NIDS rule
manipulation, high-performance NIDS event handling for model classification
labels, packet capture and retrieval.
·
All projects included marketing content
generation and sales enablement content generation.
Field
Engineer,
05/2017 to 08/2019
Plixer – Kennebunk, ME
Directly supported large enterprise and
government accounts through workflow development, teaching SOC/NOC network
monitoring methodology, and custom development of extended product
functionality.
Director
of Information Technology, 07/2013 to 04/2016
R.H.
Reny INC. – Newcastle, ME
·
Led transition from in-house legacy
sales and inventory system to Microsoft Dynamics AX.
·
Developed inventory, logistic, and
financial accounting software.
·
Managed MSP relations, technical staff,
and technology support personnel.
·
PCI compliance management for a large
retail network.
Education
Master
of Science:
Cybersecurity, 05/2023
University
of Southern Maine
- Portland, ME
·
4.0 GPA
·
Thesis: A Costing Framework for the
Dynamic Computational Efficiency of the Network Security Detection Function
Bachelor
of Arts:
Applied Mathematics, 08/2020
University
of Southern Maine
- Portland, ME
·
Capstone Project: Semiconductor Yield
and Manufacturing Simulation via Numerical Methods
Certifications
MCFE
- Magnet Axiom Certified Forensic Examiner - 2022
CCNA
- Cisco Certified Network Associate - 2020 (Expired)