An AI/ML engineer (still learning some things) and full‑stack developer fueled primarily by caffeine ☕.

• Fixed a critical bug in Hugging Face Transformers: filtered out None router logits when using mlp_only_layers with output_router_logits=True. The fix was accepted and merged as PR [#39206], resolving issue [#39203].
• Deepened expertise with MoE model architecture, auxiliary loss functions, and advanced inference logic.

Built a robust platform to streamline academic content creation:

• Tech Stack: React, TypeScript, Node.js, Supabase, Clerk, Google Gemini, Tailwind & Shadcn UI
• AI Logic: Generated structured outlines from documents + rubrics; extracted academic constraints (citation style, word count) via AI
• Backend: Supabase authentication + storage (signed URLs + RLS), Express APIs, secure file handling
• Frontend: Multi-step wizard with interactive forms, PDF handling, resilient edge-case management

• Contributed to production-grade CI/CD pipelines with Docker, Kubernetes, and ArgoCD
• Managed diverse YAML configs for deployment, secrets, autoscaling, and resource allocation
• Designed and maintained infrastructure on AWS (EKS, ECR, IAM, S3, RDS) for scalable service delivery

• Languages: TypeScript, Python, Kotlin (learning)
• Frontend: React, Vite, Tailwind, Shadcn UI
• Backend: Node.js, Express.js
• Database: Supabase (PostgreSQL, Storage, Auth, RLS)
• Auth & Storage: Clerk authentication, Supabase storage (signed URLs)
• AI Systems: Google Gemini, Hugging Face Transformers
• ML Dev: MoE modeling, Transformer pipelines, caching, performance tuning
• DevOps & CI/CD: Docker, Kubernetes, ArgoCD, AWS EKS/ECR/RDS/S3, GitHub Actions, Ruff, pytest
• Other Tools: pdfjs‑dist, Multer, REST APIs, YAML config management

• Discord: swlft_
• Pronouns: He/Him
• Fun Fact: I have a love-hate relationship with Python—but still use it daily! 😄

Thanks for stopping by! Feel free to check out my pinned repositories and open-source contributions.