About Riwano Fariz
Riwano Fariz is a data scientist & ai engineer based in Bengaluru, India. He builds machine-learning pipelines, LLM-powered applications, and full-stack products, and writes about AI engineering in The Lab.
What does Riwano Fariz build?
His work spans three areas: predictive machine-learning systems, LLM and retrieval-augmented applications, and developer tooling. Recent projects include:
- Electricity Demand Forecasting System — AI-driven forecasting model for predicting national electricity demand using weather and energy data.
- Purchase Intent Prediction App — Predicts whether a user will make a purchase based on their browsing behavior using ensemble learning.
- Hirehoo — AI-Powered Recruitment Platform — AI-driven recruitment system that screens resumes, ranks candidates, and assists recruiters with intelligent matching.
- HygiaAI — Real-Time Medical Documentation Assistant — Real-time AI assistant that listens to doctor–patient conversations, transcribes speech, extracts medical entities, and generates structured summaries (SOAP notes).
- Smart Menu Optimizer — Data-Driven Restaurant Insights — Predicts restaurant sales performance based on item price, weather, and popularity trends to recommend menu optimizations.
- Claude Sessions Widget — Developer Tooling — Always-on-top Windows widget showing live status, token telemetry, and permission alerts for Claude Code CLI sessions.
- AI Arab-English Tutor — Talking Session — Conversational voice AI language tutor for Arabic native speakers with real-time pronunciation guidance and adaptive feedback.
What is the tech stack?
Python for modelling and data work, FastAPI and LangChain for AI services, and React, Next.js and TypeScript on the front end.
- Python
- scikit-learn
- XGBoost / LightGBM / CatBoost
- FastAPI
- LangChain & RAG
- React
- Next.js
- TypeScript
- Pandas / NumPy
- Streamlit
Where is Riwano based, and is he available?
Bengaluru, Karnataka, India, working with teams remotely. He is open to data science, ML engineering, and AI application work, and replies to email at riwanofariz@gmail.com within about a day.
Frequently asked questions
- Who is Riwano Fariz?
- Riwano Fariz is a data scientist and AI engineer based in Bengaluru, India. He builds machine-learning forecasting systems, LLM-powered applications, and full-stack web products, and writes about AI engineering at riwano.com/blog.
- What does Riwano Fariz build?
- He builds end-to-end machine-learning pipelines (electricity-demand forecasting with MAE ~2.1 and R2 ~0.998, purchase-intent prediction), LLM and RAG applications (an AI recruitment platform, a real-time medical documentation assistant, a voice English tutor), and developer tooling such as a live telemetry widget for Claude Code sessions.
- What is Riwano Fariz's tech stack?
- Python with scikit-learn, XGBoost, LightGBM and CatBoost for modelling; FastAPI, LangChain and RAG for AI services; and React, Next.js and TypeScript for the front end. Data work uses Pandas, NumPy and Streamlit for rapid demos.
- Where is Riwano Fariz based?
- Bengaluru, Karnataka, India. He works with teams remotely and replies to email within about 24 hours.
- Is Riwano Fariz available for freelance or contract work?
- Yes. He has delivered custom freelance AI applications, including a production voice-based English tutor for Arabic speakers, and is open to data science, ML engineering, and AI application projects.
- How can I contact Riwano Fariz?
- Email riwanofariz@gmail.com, or find him on GitHub at github.com/Riwan000 and LinkedIn at linkedin.com/in/riwanofariz.