Lead Data Scientist | Industrial AI | Audio Analytics | OSS Contributor
I'm a math PhD turned ML engineer focused on building elegant, high-impact AI tools — especially in non-text domains like sound, vibration, and sensor data.
-
industrial-audio-rag
“Ask natural-language questions about factory sounds.”
Full-stack RAG pipeline over DCASE2024 audio: signal features → embeddings → Qdrant → LLM. With CI, FastAPI, and snapshot-based MLOps. -
LorenzBraids
Dynamical systems meets topology. Converts symbolic orbits of the Lorenz system into braid group diagrams. -
RayTracerHaskell
A clean ray tracer written in Haskell — because geometry + FP is fun. -
MindLattice
Explorations in embedding-based memory systems and vector-based reasoning.
-
meshed (i2mint/meshed)
Top contributor (#2 overall) — 90+ commits. Functional graph pipelines for composable Python workflows. -
front (i2mint/front)
UI generation for Python objects. Contributed to rendering logic. -
streamlitfront (i2mint/streamlitfront)
Auto-generates Streamlit frontends from Python functions and objects. Contributed layout adapters and Streamlit integration logic.
