🤖 AI/ML Engineer | ☁️ Cloud Architect | 💻 Full-Stack Developer
Architecting scalable, bias-aware AI solutions on the Cloud.

I am a developer passionate about the intersection of Artificial Intelligence and Cloud Infrastructure. My current work focuses on deploying machine learning models that are not only accurate but also ethical and environmentally conscious.

• 🌩️ AWS Cloud Climate ML: Developing predictive models on AWS infrastructure to analyze environmental data patterns, focusing on computational efficiency and sustainable cloud scaling.
• ⚖️ Bias-Aware Feedback Systems: Engineering an NLP-driven feedback loop designed to detect, quantify, and mitigate algorithmic bias in real-time user interactions.
• 🧬 Neuro-Symbolic Web Apps: Exploring Next.js and Node.js architectures to serve complex AI models to end-users with low latency.

⚡ Philosophy: I believe robust code reads like poetry—elegant, expressive, and mathematically precise.

A scalable pipeline for environmental data analysis utilizing AWS SageMaker and Lambda functions.

• Tech: Python, AWS (S3, Lambda, SageMaker), Docker.
• Goal: optimizing ML inference for climate datasets.

An algorithmic auditing tool ensuring fairness in automated decision-making.

• Tech: Python, NLP, Scikit-learn, React Dashboard.
• Focus: Ethical AI, Data Transparency, Real-time bias scoring.