Jacob Cuomo

Jacob Cuomo

Full-Stack Software Engineer

Master of Science in Computer Science from Georgia Tech with a specialization in Artificial Intelligence, plus 12+ years of software engineering experience designing and shipping full-scale systems across web, backend, data, and AI/ML.

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About Me

Get to know me

I am a software engineer and AI practitioner with over a decade of hands-on experience building production systems from architecture to deployment. My background spans full-stack development, scalable backend design, and data-centric product engineering. I build end-to-end applications across modern web stacks, from responsive frontend interfaces and intuitive user experiences to APIs, backend services, cloud infrastructure, and the data systems that support them.

On the AI/ML side, I build practical solutions that move beyond prototypes: predictive models, NLP pipelines, and LLM-powered applications with retrieval, evaluation, and reliability controls. I focus on measurable outcomes, clear tradeoffs, and systems that can be maintained by real teams.

I bring a senior-level mindset to execution: strong ownership, technical depth, and clear communication with stakeholders. I work especially well at the intersection of software engineering, data science, and applied AI, where thoughtful product development and fast delivery create meaningful business value.

Experience

Where I have delivered impact

Company

Solventum

Built applied AI solutions to improve assignment of new medical and business codes to concepts, contributed to grouper development, and supported cloud infrastructure for production delivery across AWS services.

Applied AIConcept-to-code mappingAWS infrastructure
Company

3M

Designed and implemented groupers to organize and classify complex data structures while building and operating cloud infrastructure using AWS IAM, EC2, S3, and CloudWatch.

Grouper developmentAWS (IAM/EC2/S3/CloudWatch)Infrastructure engineering
Company

Metron Aviation

Developed machine learning algorithms for ANSP optimization workflows used by major airline and national aviation programs, including engagements tied to Southwest Airlines, Singapore, and Qatar.

Machine learningANSP algorithmsAviation optimization
Company

Google Fiber

Built applications focused on increasing market adoption and revenue growth for Google Fiber initiatives in the Tennessee region.

Revenue-focused appsMarket adoptionProduct delivery
Company

CodeDay

Led engineers across multiple project tracks, driving architecture decisions, mentoring contributors, and shipping varied technical products under tight timelines.

Engineering leadershipMentorshipMulti-project execution
Community

Four Nations

Built and maintained core gameplay systems for a large-scale Minecraft experience inspired by Avatar: The Last Airbender and The Legend of Korra, while mentoring and leading other developers across a 2,000+ player community.

JavaPaper/SpigotDeveloper mentorship

Projects

Side Projects

Language Leap (Japanese)

Full-stack Next.js 14 platform for Japanese learning with secure auth, kanji SRS review flow, and AI-assisted conversation practice.

Next.js + Chakra UINextAuth + MongoDBAI + Kanji SRS

PoliKot (Polish Learning)

In Progress

Monorepo MVP with React frontend and Spring Boot backend featuring JWT auth, course progression, exercises, and generated dialogue audio.

React + TypeScriptSpring Boot + JWTGoogle Cloud TTS
Proprietary Project

Doctor (AI + FHIR)

Built a full-stack Next.js application for AI-assisted medical intake where conversational chat automatically captures structured patient details through FHIR integration.

Next.jsAI Chat WorkflowFHIR Integration

Asset Management Platform

Enterprise web system for structured asset tracking and operational workflows, built for real-world organizational usage.

Full-Stack DeliveryWorkflow DesignProduction-Oriented

JTracker Monitoring System

Automated website monitoring tool that detects and reports meaningful changes, reducing manual tracking overhead.

AutomationChange DetectionBackend Engineering

Launch Data Analysis

Data science project focused on launch trends and predictive insight extraction from mission-related datasets.

Predictive ModelingFeature AnalysisInsight Reporting

Technologies

What I can deliver

capability

Full-Stack System Architecture

Design and delivery of scalable, full-stack platforms across frontend, backend, APIs, and data services with a strong focus on reliability, maintainability, and performance.

capability

Production AI/ML Engineering

End-to-end machine learning systems from experimentation to deployment, including model evaluation, drift monitoring, retraining strategies, and practical MLOps workflows.

capability

LLM and NLP Solutions

Applied LLM/NLP capabilities including retrieval-augmented generation (RAG), semantic search, text classification, prompt orchestration, and guardrails for enterprise use cases.

capability

Data Science and Decision Intelligence

Advanced analytics, predictive modeling, and insight generation that translate complex datasets into actionable recommendations for product, operations, and leadership teams.

capability

Cloud, DevOps, and Delivery

Hands-on delivery across CI/CD, cloud infrastructure, observability, and release pipelines to move solutions from prototype to production with speed and stability.

capability

Technical Leadership and Execution

Senior-level ownership of architecture and implementation with strong cross-functional communication, technical planning, and delivery discipline for high-impact initiatives.

Get In Touch

Lets work together