Isaiah R. Morales

Full Stack Software Engineer

Full-stack software engineer with 6 years of experience designing, implementing, and maintaining B2B cybersecurity & cloud-native applications. A proven track record leading technical initiatives, communicating with key stakeholders, and solving core problems preventing businesses from reaching their goals. Experienced building distributed systems, machine-learning services, cloud integrations, secure APIs, user-facing web applications, & robust CI/CD piplines. Fluent in Python, Golang, Rust, & Typescript. Educated in C++, C, & Java. Advanced with React, Vue, & Astro.

Notable projects include a self-improving recommendation system for public IPv4 assets & organizations, an environmental monitoring network for freshwater ecosystems, CMMC level 1 & 2 education materials for DoD contractors, an automated financial analytical & aggregation service for cryptocurrency exchanges, and a cybersecurity triage platform for B2B penetration testing engagements & lead generation.

Skills

Languages

Python

Golang

TypeScript

SQL

Rust

Java

C++

Frontend

React

Vue

HTML

CSS

TailwindCSS

Astro

Backend

FastAPI

Flask

Express

REST APIs

Microservices

Infrastructure

Docker

Kubernetes

Linux

Proxmox

Git

CI/CD

Cloud Platforms

AWS

Digital Ocean

Microsoft Azure

Google Cloud Platform

Databases

PostgreSQL

SQLite

MongoDB

Messaging

Kafka

RabbitMQ

Protocol Buffers

Data Science & ML

Tokenization

Neural Networks

Recommendation Systems

Similarity Search

Logistic Regression

Contributions

Core contributor to SynerComm, Inc. and the CASM platform supporting B2B cybersecurity engagements with regional companies.

Technical lead of Leutheria, LLC. and the collaborative financial analytics platform supporting automated strategies across multiple exchanges.

Co-Founder & CTO of Aquantics, LLC. and built the distributed monitoring network supporting freshwater ecosystem management with municipalities.

[email protected]

(414) 708 - 2280

isaiah-morales.com

Experience

Full Stack Engineer

SynerComm, Inc.

Built cybersecurity software used by penetration testers and customers to monitor attack surfaces, discover & categorize assets, automate reconnaissance workflows, and generate security reports.

Developed collaborative reporting systems for penetration testing engagements and cybersecurity assessments.
Automated fingerprinting workflows used by both internal penetration testers and customers.
Designed and implemented a recommendation system responsible for matching WHOIS/RDAP organizations to public IPv4 assets.
Modernized frontend applications by migrating frameworks while preserving functionality, minimizing regressions, and advancing features.

Designed and implemented asset management services responsible for supporting B2B cybersecurity engagements.

Enabled penetration testers to author findings, manage evidence, collaborate on reports, and publish customer deliverables.
Designed data models to support custom user interfaces to manage assets, view relationships, and filter millions of records.
Implemented authentication and authorization workflows protecting sensitive penetration-testing artifacts.
Automated report generation and distribution workflows with notifications and access controls.

Designed and implemented an asset ownership engine responsible for tracking, fingerprinting, and discovering organization assets.

Batch-processed the entire IPv4 space to maintain a database of WHOIS/RDAP organizations and their public IPv4 assets.
Implemented fingerprinting services to automate passive reconnaissance workflows and discover organization assets & vulnerabilites.
Implemented an event-driven engine to register organizations, schedule reconnaissance workflows, and support an ownership API.
Provided customer-facing and internal asset discovery workflows.
Automated ownership attribution work previously performed by senior cybersecurity personnel.

Designed and implemented a cloud-agnostic service monitoring API responsible for integrating customer environments.

Integrated cloud provider APIs with internal services to schedule scans and provide an event-driven API.
Automated customer workflows by providing granular controls on recurring cloud environment enumerations.
Secured customer cloud credentials and secrets on self-hosted infrastructure.
Integrated notification services with customer communication channels to automate reporting & delivery.

Designed and implemented a recommendation system responsible for matching organization names and aliases.

Curated a machine-learning model to recommend organization aliases with real-time context.
Implemented domain-specific tokenizers to identify optimal training strategies, tailor model outputs, and minimize response time.
Integrated internal services to aggregate training data and tune model responses to customer decisions.
Utilized neural networks, similarity metrics, decision trees, and rank ordering to continuously generate training labels & model parameters.

Designed and implemented cybersecurity services resposible for supporting and automating internal workflows.

Implemented a playbook reminder service to increase the number of engagements and vulnerabilities found.
Implemented a custom image editor to secure penetration-testing artifacts and improve report quality.
Implemented report templates for authoring common vulnerabilities and engagements.
Aggregated DNS, WHOIS, RDAP, ASN, Certificate Transparency, cloud metadata, and public web asset data.

Led migration of a large frontend application from Vue 2 to Vue 3.

Rebuilt application architecture.
Migrated component libraries.
Integrated Tailwind CSS.
Modernized PrimeVue styling.
Preserved functionality while reducing maintenance complexity.

Software Engineer → Full Stack Engineer

Leutheria, Inc.

Built collaborative financial analytics applications used by customers to automate trading, explore real-time market data, backtest strategies, and share insights.

Developed real-time market-data aggregation services integrating multiple cryptocurrency exchanges.
Built financial analytics applications and visualizations to create, test, and share investment strategies & outcomes.
Designed a platform allowing users to self-host automated trading strategies, publish verifiable investment results, and share trading signals.
Maintained multi-cloud deployments emphasizing reliability, security, and operational efficiency.

Designed and implemented services responsible for aggregating market data from multiple cryptocurrency exchanges.

Integrated exchange APIs to aggregate historical market data into a unified platform and data model.
Normalized market data from multiple exchanges to backtest financial models, automate trading, and serve a historical API.
Distributed work across multiple cloud providers to reduce cost and maintain service requirements.
Implemented scrapers to monitor and aggregate metrics not provided by exchange APIs to provide reliable analytics data.

Designed and implemented applications for researching, automating, and collaborating on trading strategies.

Built a platform for collaborative investment research and strategy curation using real-time market data.
Supported historical data exploration and strategy backtesting.
Built internal market visualizations and comparison tools to determine platform feature development.
Generated custom candlestick graphs to provide an interface to multiple exchanges down to the one-minute interval.

Designed and implemented multi-cloud deployments for production financial analytics systems.

Distributed monitoring services across multiple providers to reduce cost.
Improved availability by parallelizing workflows and routing traffic to aggregators.
Secured customer credentials and isolated customer runtime environments.
Developed deployment workflows, operational tooling, and CI/CD pipelines.

Co-Founder & CTO

Aquantics, LLC.

Built environmental technology and models to improve the management of freshwater ecosystems.

Designed IoT systems integrating cloud services with distributed environmental sensor networks.
Developed machine-learning models to predict aquatic plant distribution and to identify real-time clippings.
Secured over $60,000 through seed funding, grants, and entrepreneurship competitions.
Contributed to technology later adopted within commercial aquatic vegetation management workflows.

Designed and implemented an IoT monitoring platform for managing freshwater ecosystems.

Integrated cloud infrastructure, cellular providers, IoT hubs, and environmental sensors.
Supported remote deployments across Wisconsin.
Collected environmental metrics, tracked municipal operatations, and aggregated data into a unified data lake.
Worked with municipalities to integrate operations and improve data collection methods.

Designed and implemented machine-learning models for identifying aquatic vegetation and predicting distribution.

Built early computer-vision workflows to identify common species found by mechanical weed harvesters.
Implemented lake-specific classifiers to improve reported volume accuracy and identify invasive species.
Used environmental data as model parameters to improve context and increase accuracy.
Sampled harvester location, depth, speed, weight, and viewpoints to determine & predict plant distribution throughout lakes.

Helped secure funding and move the technology toward commercial deployment.

Received $25,000 in Wisconsin SEED funding.
Earned more than $37,000 through business plan competitions and entrepreneurship programs.
Worked directly with municipalities and harvester operators to improve workflows.
Technology was later incorporated into broader aquatic vegetation management solutions developed by Aquarius Systems.

Education

Graduate Studies in Computer Science

Cybersecurity Emphasis

University of Wisconsin–Whitewater

Bachelor of Science in Physics

Engineering Emphasis

Minor in Mathematics

University of Wisconsin–Whitewater

Research

Graduate Research Assistant – Cybersecurity

Department of Defense & UW–Whitewater

Developed CMMC training materials and assisted organizations fulfill cybersecurity requirements.

Supported cybersecurity education and compliance initiatives focused on helping contractors transition from NIST to CMMC.

Researched NIST and CMMC requirements to develop an understanding of transition importance and operational differences.
Developed CMMC Level 1 and Level 2 training materials for contractors.
Assisted organizations understanding of compliance requirements and created transition plans.
Communicated audit requirements to decision makers, engineers, and operations personnel.

Undergraduate Researcher – Plasma Physics

UW–Whitewater

Developed a plasma chamber to coat biomedical implants. Presented findings at NCUR.

Designed and built an atmospheric plasma chamber to coat biomedical implants with unadhesive anti-fouling solutions.

Designed the plasma chamber using prior research and theoretical guidance from faculty.
Identified, divided, and solved critical problems required to meet the theoretical conditions.
Modeled chamber prototypes, manufactured custom parts, and coordinated physical phenomena.
Presented the work at the National Conference on Undergraduate Research.

Research Assistant – Digital Electronics

UW–Whitewater

Developed sensor networks used for environmental monitoring and data acquisition.

Developed Raspberry Pi-based sensor networks for managing the growth of crystals.

Built a distributed sensor network to manage chamber environments.
Collected and normalized temperature, humidity, and pressure data.
Developed software for device communication and coordination.
Gained early experience with hardware integration, data acquisition, and distributed networks.

Awards & Accomplishments

Awarded Ideadvance SEED funding

2021, 2023

Winner of the Regional Perfect Pitch Competition

2018

Participant at the CEO Global Conference & Pitch Competition

2018

Presented at the National Conference on Undergraduate Research

2019

Finalist at WySis Quick Pitch Competition

2018

Semi-Finalist at TCU's Richards Barrentine Values and Ventures Competition

2019

Finalist at UW-Whitewater's Undergraduate Research Day

2019

Voted onto the UW-Whitewater Club Soccer Board

2017, 2018, 2019, 2020