J.Henrique Menezes

Software Engineer, 23 - 🇧🇷

02.

Back Story

João Henrique started programming at sixteen and is now a Full-Cycle Engineer focused on building complex AI products from scratch. He architects and ships complete systems, bridging the gap between advanced research and production-ready software.

Today, he works as an independent consultant and lead engineer, managing end-to-end pipelines from infrastructure design (AWS/SageMaker) and model training to mobile/web UX and deployment.

03.

Skills

Programming Languages
- Python (primary language)
- Go (Golang)
- JavaScript (Node.js, ES6+)
- Kotlin (Android)
- PHP (Laravel)
Frameworks & Libraries
- AI & LLM: LangChain, OpenAI APIs (GPT, Whisper, DALL-E), Claude API, HuggingFace, Guardrails, RAG pipelines, RT-DETR, TrackNet
- Data Science/ML: PyTorch, scikit-learn, pandas, numpy, glob, BeautifulSoup (bs4)
- Data Engineering & Workflow: Apache Airflow, Power BI (Advanced), DAX, Excel (Advanced), VBA
- Backend: FastAPI (Python), Node.js (JavaScript), Laravel (PHP)
- Frontend: React (JS), TailwindCSS, HTML5, CSS3, Vite
- Mobile: Android (Kotlin)
- ETL: Python (pandas, requests, BeautifulSoup), SQL, batch automation, logging
- Automation: N8N (no-code workflow), VBA (Excel automation)
Databases & Storage
- Relational: PostgreSQL, SQL, MySQL
- NoSQL: MongoDB, Firebase (Firestore/Realtime Database), Supabase
Cloud & DevOps
- AWS: EC2, RDS, S3, Lambda, SageMaker
- GCP (Google Cloud Platform)
- Docker (multi-container apps)
- CI/CD, deployment, Linux server ops
Data Visualization & BI
- Power BI (advanced dashboards)
- Excel (complex models)
- DAX, VBA scripting
ETL & Data Engineering

ETL pipelines for data extraction (Python, BeautifulSoup, requests), transformation (pandas, numpy), and loading to relational DBs (MySQL, PostgreSQL). Used Apache Airflow for job orchestration and scheduling, error handling, monitoring/logging. Automated workflows for report generation, metric analysis.
Computer Vision & Mobile

Computer vision projects in Python (OpenCV, scikit-image), object detection/classification, image processing, pipeline integration for document/vision input to AI workflows. Android app development in Kotlin (personal and MVPs).
Additional Skills & Tools
- APIs: RESTful design, OpenAI, Claude, Google Cloud APIs
- Automation: N8N, VBA, Python scripting
- Cloud: AWS (including SageMaker for ML)
- Security: RBAC, JWT, environment isolation, audit logging
- Deployment: Docker, Linux server management, CI/CD, scaling multi-container apps
- Prompt Engineering: Extensive experience building, tuning, and deploying LLM pipelines with QA/reinforcement loop, guardrails, prompt chaining (LangChain)
Soft Skills & Leadership
- Team lead at Aya since day one: responsible for sprint planning, code review, onboarding, mentoring, and architectural decisions.
- Enjoys mentoring and empowering junior developers.
- Strong communication with non-technical stakeholders (requirements, feedback).
- Enjoys working under pressure and tight deadlines, focusing on real delivery and business value.
- Open and honest about process, learnings, and areas for improvement.

GitHub | LinkedIn | E-mail | Resume