I’m a technologist driven by the magic that happens when cutting-edge AI meets the depths of human potential. As a Prime Mover at AzuLabs, I’m not just crunching numbers or writing code—I’m crafting transformative solutions that spark innovation and elevate our collective consciousness.
At AzuLabs, I work at the vibrant intersection of natural language processing, reinforcement learning, recommendation systems, and generative AI. My approach is rooted in first-principles thinking, blending logic with creativity to design elegant, high-performance solutions using Python, fastai, PyTorch, and a suite of modern tools. I embrace every challenge as an opportunity to push the boundaries of what technology can achieve.
But there’s more to my journey than algorithms and data. I’m equally fascinated by robotics, neuroscience, philosophy, and the very nature of consciousness. I believe that when advanced technology is intertwined with mindfulness and curiosity, it can redefine our world for the better. When I’m not immersed in code, you might find me experimenting in the kitchen, meditating to find balance, traveling to explore new cultures, or diving into a book like The Untethered Soul by Michael A. Singer.
- 🏭 Industry Experience: Worked on recommender systems, cloud-based microservices, and chatbots with nuanced personality traits.
- ⚙️ Tech Stack Highlights:
- Frontend: SvelteKit, TypeScript, Tailwind CSS, Vite
- Backend: Python (FastAPI), Node.js, Cloudflare Workers, Express, Hono
- Databases: PostgreSQL (Supabase)
- DevOps & Infra: Docker, Docker Compose, GitHub Actions, Cloudflare Pages
- Testing: Jest, Pytest
- Security & Auth: JWT, Supabase Auth
- 🌱 Currently Learning: Advanced transformer architectures, best practices in serverless and edge computing.
- 🎤 Community: Active committee member at PyData London; frequent contributor to community events and knowledge-sharing sessions.
Machine Learning Engineer @ Syd
- Built and deployed a reinforcement learning-powered recommender system, boosting user engagement by 75%.
- Engineered a chatbot capable of delivering 5 distinct personalities, driving more nuanced, personalized user interactions.
- Created automated pipelines for information extraction and scientific recommendations.
Machine Learning Engineer Apprentice @ The Machine Learning Institute
- Implemented various data-driven applications (e.g., data pipelines, recommendation engines).
- Explored the latest in deep learning architectures (e.g., transformers with sparse attention).
I love building tools and applications that merge AI with real-world user experiences.
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AceTheRound: An AI interview platform designed to help students break into the finance industry.
Visit AceTheRound for more information. -
VibraPoe: AI-driven poetry platform blending generative techniques with creative writing.
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Poetic Genesis: An anthology of 52 AI-crafted poems, showcasing the synergy between human creativity and language models.
I also write Vibrational Intelligence, a transformative Substack where the cutting-edge world of artificial intelligence meets the timeless wisdom of ancestral knowledge and spiritual insight. Here, we explore the harmonious fusion of technology and soul, creating a vibrant tapestry that elevates human consciousness and amplifies our creative potential.
Here are a few of the technologies I frequently use and love:
...and many more! Check out my repositories for detailed setups and configurations.
Note: These stats only reflect my public repos, so they don’t capture my entire experience.
- Website: azuremis.com
- LinkedIn: linkedin.com/in/azuremis
- Twitter: twitter.com/azuremis
- Instagram: instagram.com/azuremis
- GitHub: github.com/azuremis
I’m always open to discussing ML innovations, cloud-native tech, or community events. Feel free to drop me a message or open an issue/pull request on any of my projects!
Thank you for visiting my GitHub profile. I hope you’ll find projects here that spark your interest and creativity. If you like what you see, feel free to give a star ⭐ or reach out!