A. GONZALEZ/ manifold
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▸  SOFTWARE & MACHINE LEARNING ENGINEER

adrianne
gonzalez_

I build machine learning and backend systems: REST APIs, cloud deployments, ML pipelines, model training, and containerized inference. Every stage of my path fed the next one, and it all connects here.

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My Journey

2017 → NOW · ONE CONNECTED PATH
'17 media & story learning what a signal is full-stack first end-to-end builds '25 '26 backend wiring systems together ML systems finding patterns, live '26 →
'17

media & story

learning what a signal is

'25

full-stack

first end-to-end builds

'26

backend

wiring systems together

'26 →

ML systems

finding patterns, live

READ THE FULL PATH →
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Featured Work

EACH ITS OWN CLUSTER
▸ Featured build · Machine Learning

Deterministic Audio Preprocessing

Machine Learning Engineer

A reproducible pipeline that turns raw audio into model-ready tensors. It is engineered so that training and production see bit-identical inputs, preventing drift and catching false positives.

PythonNumPylibrosaTensorFlowMobileNetV2Signal Processing
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🏆 3rd Overall · MLH SharkByte 2025

lunarfeed

Backend Engineer

An automated space-news radio station: a backend pipeline that scrapes, aggregates, and scripts astronomy news, voiced by an AI radio anchor with factual-accuracy guardrails. I used to be the anchor; this time I built one.

PythonAWSGeminiElevenLabs
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🏆 1st Place · iOS Showcase 2025

Raggle

Full Stack Engineer

An iOS app bringing transparency to the rental market by crowdsourcing rent data, letting renters negotiate costs before a viewing. Location-aware, with offline storage.

SwiftUIMapKitSwiftData
View project →
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Experience

Machine Learning Engineer

DataRemote
APR 2026 — JUL 2026
Intern
  • Built end-to-end ML pipeline orchestration in Python: data prep, feature engineering, training, evaluation, and inference handoff in one reproducible CLI workflow.
  • Shipped a containerized inference service (FastAPI + Docker/Podman) productionizing a deep-learning classifier; reproducible from a fresh clone with one command.
  • Authored cross-team integration contracts (Pydantic schemas) governing the data → features → model → inference handoff on a 4-engineer team.
  • Owned the CI/CD posture: GitHub Actions running branch-protected main with contract-driven development.

Backend Engineer

Barmade
FEB 2026 — APR 2026
Intern
  • Deployed backend to Google Cloud Run using a Docker container.
  • Implemented RESTful and WebSocket APIs in Java with Spring Boot.
  • Designed Square, Stripe, and Clover integrations for secure transactions and authentication.

Full Stack Developer

Auset X Technologies
NOV 2025 — FEB 2026
Intern
  • Built a production-ready mobile and web product, implementing end-to-end user flows.
  • Resolved a Google Cloud IAM misconfiguration, enabling JWT-token access to Firestore.
  • Stabilized core backend services: diagnosed and fixed 15+ critical bugs (booking timeouts, geolocation sync) using Cloud logs, API traces, and breakpoints.
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Skills

Languages

PythonJavaSwiftJavaScriptDartSQL

ML / Data

TensorFlowKerasCNN architecturesTransfer learningNumPypandasscikit-learnlibrosa

ML Systems / MLOps

End-to-end ML pipelinesConfidence-thresholded inferenceAsync pipeline orchestration

Cloud & Backend

FastAPIREST APIsFirebaseGoogle CloudAWSSQL/MySQL

Frameworks

Spring/Spring BootFlutter (Android & iOS)

Tools

GitVS CodeNeovimXcodeClaude CodeFoxgloveAgile/Scrum
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Education & Certifications

Miami Dade College

Software Engineering
2026
  • Certificate of Professional Preparation, Software Engineering.
  • Relevant coursework: Data Structures, Algorithms & Design.

University of Miami

M.S. Media Management
2021
  • Graduate study in media systems, strategy, and management.

Florida International University

B.S. Digital Media
2017
  • Undergraduate degree in digital media and communication.
Swift Development (Certified User) · Apple, 2025 Java I · Codecademy, 2023

Let's build together

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