AJ.
Andrew Jackson
Sr.Fullstack & AI/ML Engineer

I ship products
that solve

Portrait of Andrew Jackson
Andrew

Results-driven Full Stack and AI/ML Engineer with extensive experience in machine learning and software development. Proicient in building scalable applications and optimizing models for high-dimensional data. Demonstrated ability to lead cross- functional teams and deliver innovative solutions, ensuring alignment with industry trends and client needs.

Currently
Fullstack & AI/ML Engineer @ Freelancer
Focus
Product / LLMs / MLOps
Projects
30+ shipped
Status
Open to work
My Projects
PythonTypeScriptJavaScriptReactNode.jsNext.jsExpress.jsFastAPIREST APIsPostgreSQLSQLDynamoDBAWSDockerKubernetesTerraformCI/CDTensorFlowPyTorchScikit-learnKerasNLP/GPTComputer VisionMLOpsModel DeploymentFeature EngineeringAnomaly DetectionSpark/PySparkPandasBigQuery
01

Projects

+ 20 more on GitHub

02

About

Fullstack Engineer.
Machine learning trajectory.

I got into fullstack because real work demanded it. Needed to ship products, not theory. APIs that actually talked to databases. Interfaces people used. That grounded me, gave me the constraints that mattered.

Then my degree pulled me toward the math side. Nonlinear systems, numerical methods, building ML models that replaced expensive simulations. The research part stuck. But I kept asking: what good is a model if you can't deploy it? So I never left the fullstack world behind. It became the edge.

Now I build systems that own the full pipeline. Hyperspectral imaging models that feed production dashboards. ML orchestration that talks to APIs and databases and actually scales. End-to-end ownership. Raw data becomes decision.

That's where the work gets interesting to me.

15+
Years engineering
40+
Projects shipped
9+
Certifications
Portrait of Andrew Jackson
fig. 01 — the engineer
03

Experience

  1. [2025.4 - 2026.8]

    Senior AI Architecture & Tech Leader | Contractor

    HV Vision

    Developed ML pipeline for hyperspectral imaging predictions. Engineered models for high-dimensional feature spaces while maintaining physics-based validity. Collaborated across diverse stakeholder groups including farmers, agronomists, hardware engineers, and executive leadership.

    • Python
    • Machine Learning
    • AWS
    • Hyperspectral Imaging
    • Feature Engineering
    • Model Selection
  2. [2020.1 – 2025.2]

    Tech Leader & Senior Software Engineer | Employee

    Codecademy

    Led comprehensive full-stack curriculum covering Python, SQL, NoSQL, React, Redux, Next.js, SvelteKit, and Go. Evaluated coursework standards and coached hundreds of students on scalable, well-architected system design. Mentored engineers across core programming competencies and architectural best practices. Architected end-to-end fraud detection system for Twitter brand impersonation monitoring; integrated Google Workspace APIs to streamline legal team operations and case documentation. Rearchitected backend infrastructure, migrating from Cloudare Workers (key-value storage) to DynamoDB + S3 with automated API orchestration, reducing operational overhead and improving scalability. Built Web3 smart contract integrations enabling direct customer interactions with blockchain protocols. Technical expertise spans full-stack development, system architecture, cloud infrastructure, and blockchain integration. Proven ability to design production systems, mentor technical teams, and deliver high-impact solutions across ntech, fraud prevention, and decentralized applications.

    • Python
    • SQL
    • MongoDB
    • React
    • Redux
    • JavaScript
    • Node.js
    • Java
    • NoSQL
    • HTML
    • CSS
    • REST APIs
    • Test-driven Development
  3. [2014.3 – 2019.10]

    Senior Machine Learning & HPC Software Developer | Employee

    Hexagon Manufacturing Intelligence

    Architected and deployed production ML systems replacing physics-based simulations for automotive engineering. Engineered high-performance parallel linear system solver achieving 1000x speedup through sparse direct solvers and iterative methods (PCG, algebraic multigrid). And developed proprietary sparse/dense C++ linear algebra library with scientic computing optimizations and published peer-reviewed research on springback phenomenon prediction. Built end-to-end ML pipelines processing massive healthcare datasets (nancial records, discharge data, patient outcomes). Developed predictive models for insurance risk, readmission rates, and patient segmentation. Scaled data processing with PySpark and GCP Compute Engine; led multidisciplinary teams through model development, validation, and production deployment.

    • Python
    • C++
    • OpenMP
    • MPI
    • Machine Learning
    • HPC
    • Monte-Carlo Simulation
    • Design of Experiments
  4. [2013.6 – 2014.1]

    Software Engineer Intern | Employee

    Starbucks

    Built live KPI dashboard scraping metrics from Starbucks database and displaying daily changes to C-level executives. Created live sentiment dashboard streaming tweets, applying NLP for sentiment analysis, and computing daily averages to track public perception over time.

    • MongoDB
    • Express.js
    • Node.js
    • React
    • Python
    • NLP
    • JavaScript
    • REST APIs
  5. [2008.3 – 2013.2]

    PhD Researcher | Employee

    University California San Diego

    Developed mathematical models predicting complex nonlinear systems behavior (fluid-structure interaction, cardiovascular dynamics, weather forecasting). Built high-performance numerical software for solving nonlinear differential equations. Managed supercomputing cluster pipelines; processed and analyzed terabyte-scale results using OpenMP and MPI. Designed and performed experiments validating software predictions. Developed ML meta-models for forecasting without heavy simulations. Taught numerical methods, programming, mathematical modeling courses. Published results in journals and conferences.

    • C++
    • Fortran
    • Python
    • Bash
    • Linux
    • OpenMP
    • MPI
    • Distributed Computing
    • Statistical Analysis
    • Signal Processing
04

Credentials