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https://github.com/codeonthespectrum/codeonthespectrum


https://github.com/codeonthespectrum/codeonthespectrum

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README

          

# Welcome! πŸ‘‹
Hi! I'm Gabrielly, but you can call me **Kimi** 🧩
I'm an **ML Engineer focused on MLOps and AI Infrastructure** with 2 years of experience. I build **production AI systems that scale and cost less**.

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## πŸ”§ Building in Public: Billink AI

I'm currently building **[Billink AI](https://billinkai.com)** β€” a SaaS platform that automates cloud and AI infrastructure cost auditing using multi-agent LLM pipelines.

**What it does:**
- Analyzes billing data from AWS, OpenAI, and Anthropic
- Identifies waste patterns (idle GPUs, expensive model overuse, storage inefficiencies)
- Generates actionable recommendations with projected savings

**Roadmap:**
- βœ… Architecture designed (3-stage agent pipeline: Extractor β†’ Analyst β†’ Advisor)
- 🚧 MVP in development (CSV upload β†’ analysis β†’ PDF report)
- 🎯 Goal: 2 paying customers for validation

**Follow the journey:** I share progress, learnings, and challenges on [LinkedIn](https://br.linkedin.com/in/gabrielly-gomes-ml).

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πŸ‘©β€πŸ’» **Currently, I am...**
* πŸ’Ό **ML Engineer / MLOps Engineer at Cortex:** Architected an Agentic AI system processing **80K+ stores** across **700+ malls** on Kubernetes, enabling a **$2M revenue** product line. Implemented monitoring, alerting, and batch inference pipelines.
* πŸ€– **AI Researcher at UFPI:** Building hybrid BiLSTM-Transformer models for hate speech detection with feedback loop for retraining. [Fine-Tune Baseline](https://github.com/codeonthespectrum/Curupira.ia) | [BiLSTM Baseline](https://github.com/codeonthespectrum/curupira_BILSTM)

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πŸ› οΈ **Tech Stack**

* **MLOps & Infrastructure:** Kubernetes (EKS), Karpenter, Spot Instances, Docker, MLflow, CI/CD for ML, Model Monitoring, Drift Detection
* **Cloud:** AWS (S3, Lambda, EC2, EKS, DynamoDB, Cost Explorer), Terraform, FinOps
* **Machine Learning:** LLMs, Agentic AI, RAG, NLP, TensorFlow, PyTorch, Physics-Informed ML
* **Data Engineering:** PostgreSQL, ClickHouse, Supabase, ETL/Data Pipelines, Analytics Engineering
* **Observability:** Grafana, CloudWatch, HyperDX (P95 Latency, Error Budgeting)
* **Programming:** Python, SQL, PySpark

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✨ **Highlights**

* πŸ† **Transpetro/Petrobras Hackathon (7th place):** Physics-Informed ML for industrial prediction β€” identified **$1.89M in fuel savings** and **1,198 tons CO2 avoided**. [Paper](https://dx.doi.org/10.2139/ssrn.6027414) | [Dashboard](https://biofouling-frontend.vercel.app/index.html) | [Model](https://huggingface.co/carpenterbb/biofouling-model) | [REST API](https://carpenterbb-api-transpetro-hackathon.hf.space/)
* πŸ‡§πŸ‡· **I Speak KanoΓͺ:** Built the first dataset for **KanoΓͺ** indigenous language preservation. [Documentation](https://github.com/codeonthespectrum/eu-falo-kanoe) | [Dataset](https://huggingface.co/datasets/carpenterbb/i-speak-kanoe)
* πŸ“Š **Social Impact:** Created [Water Inequality Dataset of NE Brazil](https://huggingface.co/datasets/carpenterbb/agua_e_esgoto_nordeste_brasileiro) and published peer-reviewed research. [Paper](https://sol.sbc.org.br/index.php/enucompi/article/view/35664) | [GitHub](https://github.com/codeonthespectrum/freshwater-project)
* πŸ“Š **Cloud Infrastructure Analyst (Freelance):** Audited infrastructure handling **3.26B requests** with **99.92% availability** during Black Friday, analyzing EKS cluster efficiency and Spot Instance resilience.

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πŸŽ–οΈ **Certifications**

* **Stanford & DeepLearning.ai:** Machine Learning Specialization. [ML Project](https://github.com/codeonthespectrum/predicao_risco_cc)
* **Harvard Aspire Institute:** AI-Integrated Leadership Program (AILP) Alumna
* **DataCamp:** AI Engineer Associate & Data Engineer Associate

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πŸ“š **My "Stanford Roadmap"**
- As a neurodivergent learner, I thrive on structure and depth. I am executing a rigorous, self-directed curriculum based on **Stanford University's Computer Science BS** parallel to my formal degree.

πŸ“ Click to see my full progress & Curriculum

> **Current Phase: Year 1 - Solid Foundation** πŸ—οΈ
> Focus: Mathematical rigor and algorithmic thinking.

**Semester 1: Foundation** (From November/25 to May/26)
- [x] **CS106A:** Programming Methodology. [Activities](https://github.com/codeonthespectrum/code-in-place)
- [ ] **Introduction to Mathematical Thinking** (In Progress)
- [ ] **Introduction to Logic** (In Progress)
- [ ] **CS103:** Mathematical Foundations of Computing
- [ ] **CS106B:** Programming Abstractions (In Progress)

**Semester 2: Foundation II** (From June/26 to December/26)
- [ ] **PHYSICS61:** Mechanics
- [ ] **MATH19**: Calculus I
- [ ] **CS107:** Computer Organization & Systems
- [ ] **CS125:** Data & Society
- [ ] **CS109:** Probability for Computer Scientists
- [ ] 🚧 **Capstone Project 1**

**Year 2: Advanced Core** πŸš€

**Semester 3** (From January/27 to June/27)
- [ ] **MATH20:** Calculus II
- [ ] **MATH51:** Linear Algebra & Multivariable Calculus
- [ ] **CS111:** Operating Systems Principles
- [ ] **CS221:** Artificial Intelligence: Principles and Techniques

**Semester 4** (From July/27 to December/27)
- [ ] **CS229:** Machine Learning
- [ ] **CS161**: Design & Analysis of Algorithms
- [ ] **CS205L:** Continuous Mathematical Methods with an Emphasis on Machine Learning
- [ ] 🚧 **Capstone Project 2**

**Semester 5: Specialization & Quantum** πŸ•΅πŸΌ

**Semester 5** (From January/28 to June/28)
- [ ] **CS22N:** Natural Language Processing with Deep Learning
- [ ] **CS259:** Algorithms Fairness
- [ ] **PHYSICS71:** Quantum
- [ ] 🚧 **Capstone Project 3**

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🌍 **Leadership & Volunteering**

* πŸ§‘β€πŸ« **Teaching Fellow:** Data and AI for Social Analysis course at UFPI
* πŸ§‘β€πŸ« **AI Instructor:** Teaching AI for women entering tech at NGO
* πŸ‡ΊπŸ‡³ **United Nations MGCY:** Major Group for Children and Youth volunteer

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πŸ’¬ **Let's connect**
- πŸ’Ό LinkedIn: [Gabrielly Gomes](https://br.linkedin.com/in/gabrielly-gomes-ml)
- πŸ“§ Email: [gabrielly.gomes@billinkai.com](mailto:gabrielly.gomes@billinkai.com)