AI Engineer · Applied LLM Systems
Hi, I’m Iyashi.
I build AI systems that turn messy input into something a machine can act on.
Agentic workflows, RAG pipelines, and anomaly detection on real sensor data. Currently a Data Scientist at Digestive Disease Care, where I’m one of two founding members of the AI and data science function. MS in Data Science from RIT.
Selected work
All projects →Cardiac Risk Prediction
Jan 2023 – Jan 2024A hybrid fuzzy inference model for multi-class cardiac risk. Granted as an Indian patent.
- Python
- Fuzzy Inference Systems
- Binary Brain Storm Optimization (BBSO)
- scikit-learn
NGAFID Anomaly Detection
Jan 2025 – Dec 2025Predictive maintenance on 64-sensor aviation telemetry. 92.5% accuracy on NAB.
- Python
- PyTorch
- EXAMM
- scikit-learn
SolAI — Real Estate AI Assistant
May 2025 – Sept 2025Real-estate agentic assistant with three-tier memory and an 87-tool MCP orchestration layer.
- Node.js
- Express
- Claude Flow (MCP)
- Redis
What I work with
LLM Systems
- LangChain
- RAG pipelines
- MCP tool integration
- Multi-agent orchestration
- Claude, GPT, Gemini APIs
- Pinecone, Redis
- Prompt engineering
Machine Learning
- PyTorch
- scikit-learn
- Time-series modeling
- Anomaly detection
- Neuroevolution
- Feature engineering
- Model evaluation
- Computer vision
- MediaPipe
Engineering
- Python
- FastAPI
- Node.js
- PostgreSQL
- Redis
- Supabase
- Pinecone
- Docker, Git
- SQL, BigQuery
Ask about my work
A grounded assistant that answers from my project write-ups. It won’t guess — if something isn’t here, it’ll say so.