M.S. Electrical and Computer Engineering - AI/ML Systems @ Carnegie Mellon University
Alex (Pai) — I and my team research, prototype, and ship ML systems.
- Nodetree.io: Tree-structure LLM for parallel queries.
- Prisma: Agentic Planning Abstraction Layer, building Workflow-as-Code for repeatable workflow generation.
- Deepthink in MCTs: Developing a new way to udpate RL rewards based on Deepthink with Confidence and Monte Carlo Tree Search unsupervised iterations.
- Language to Langgraph: automatic LangGraph construction via LLM as finite state machines.
- T-Few: transfer learning with few-shot setups for low-label regimes.
- Raman Spectrum Analysis: CNN + ordinal classification to detect peaks; separated PAHs vs. pesticides with high accuracy.
- Low-Light Image Enhancement: benchmarked DL models for lab imaging. Submitted to CVPR 2026 ``
- Solutions Architect – Associate
- 🎯 Preparing Machine Learning – Specialty (cloud-native, scalable AI pipelines)
- American Battery Solutions (Software Engineer Intern, 2025) — delivered code-intelligence and auto-doc portal (libCST + FastAPI) that cut manual documentation.
- ISVision Technology (Software Engineer Intern, 2024) — implemented an AI-driven code reviewer over GitLab commits (LLaMA + RAG) to automate checks.
- Computer Vision Center, Barcelona (Research Assistant, 2022–2023) — co-authored MILL low-light dataset and benchmark; ran SOTA baselines and prepared splits.
- MyMindy — Data Mining Your Notes: AI/NLP to extract & surface actionable insights from personal notes. → https://www.Mymindy.net
- Step.ai — AI↔AI networking (coffee chats for agents; autonomous resume exchange & interaction)
- Vitaelia — AI Vision Necklaces (burned an Arduino 🔥)
- Spanish: (Bilingual)
- Chinese: (Bilingual)
- English: (Advanced)