🌊 Data & AI Developer @ Accenture | Builder & Maker
I surf waves, climb rocks, and build scalable Cloud & AI data solutions.
On a mission to bridge the gap between robust cloud architectures and real-world business value through logic, FinOps, and curiosity.
🏅 AWS Certified AI Practitioner | Currently preparing for AWS Certified Cloud Practitioner.
- ☁️ Eduinnovatech: Cloud-Native real-time exam platform architecture on Microsoft Azure (SQL Serverless, SignalR, App Service, and isolated Azure OpenAI GPT-4o) designed for 50k+ concurrent users and FinOps efficiency.
- 🧠 Open-Source Second Brain (Digital Garden): Autonomous Zettelkasten knowledge system in Obsidian orchestrated by local AI agents (Groq) and published via Quartz & GitHub Discussions.
- 🎮 InnerLevel (Lifequest): Gamified personal development platform integrating AI, behavioral analytics, relational SQL modeling, and AI-paired engineering workflows.
- 🕸️ GraphRAG Architectures: End-to-end Serverless Generative AI pipelines on AWS (Glue, Lambda, Amazon Bedrock) connected to Graph Databases (Neo4j) and Vector Stores (ChromaDB).
- Languages & Backend: Python, SQL, FastAPI, Streamlit
- Cloud & DevOps: AWS (Glue, Lambda, Bedrock, S3, Aurora, SageMaker), Microsoft Azure (Serverless, SignalR, App Service, Azure OpenAI), Google BigQuery, Docker, Git / GitHub, Linux
- Data Engineering: ETL Pipelines, Data Modeling, Web Scraping (BeautifulSoup), Pandas, NumPy, PySpark (Learning)
- AI, Graphs & ML: RAG & GraphRAG, Neo4j (Graph DB), ChromaDB (Vector DB), Agentic Workflows (CrewAI, Groq), Prompt Engineering, Scikit-Learn (K-Means, Cosine Similarity)
- Consolidate my path toward becoming a Cloud Data & AI Architect.
- Deepen my expertise in AWS Cloud infrastructure, REST APIs, and scalable data platforms.
- Share open-source technical notes and connect with other builders through my Digital Garden.