Muhammad Raihan Afiandi Email & Phone Number

Developed and supervised the use case of Large Language Models (LLMs). Responsibilities included overseeing LLM fine-tuning with Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF), enhancing AI response quality and data accuracy through data annotation and synthetic data generation. Integrated Retrieval-Augmented Generation (RAG) for better informed responses. Developed performance monitoring dashboards and managed LLM deployment lifecycle.Tech stacks:Python, SQL, HTML, Javascript, Gitlab, Postgre, Docker.Frequently Used Libraries/Frameworks:PyTorch, FastAPI, Huggingface, Dash, vLLM, Gradio, etc.

Delivered various AI Solutions (NLP & Computer Vision), Dashboards (Big Data Dashboard & Geospatial Visualization), and Data Analysis (Customer Persona).Tech stacks:Python, SQL, HTML, Javascript, Gitlab, Oracle Database, Docker.Frequently Used Libraries/Frameworks:Pandas, PyTorch, FastAPI, Huggingface, Dash, OpenCV, etc.

Involved in multiple projects with clients from various countries (e.g USA, Israel, New Zealand).Some of the projects are:Web ScrapingArticle text generator using AI (model used: GPT-2)

- Created SQL procedures to automate reports and data collection - Managed and monitored data dashboard (Power BI)- Managed and handled ad-hoc requests

- Involved in a collection scoring modeling project to predict if the customers are good or bad- Performed feature engineering and data cleansing- Created a report and communicating with the project manager

- Collected and analyzed customer, client competitors, and web behavioral data - Wrote a persuasive text that gets people to buy the client's product- Developed and monitored campaign budgets- Tested campaigns, analyzed key metrics (ROAS), and identifyed opportunities to increase campaign performance.- Developed and presented learnings from the past data, including actionable insights and recommendations.- Generated more than 20 ads with >2.0 ROAS

Bandung Area, West Java, Indonesia

Teaching mathematics has made me a better communicator because with teaching math I was able to simplify a complex problem so that my students can understand exactly what I deliver to them. Teaching math also gives me skills to read people. To be effective at teaching, reading my students personality is necessary for me to decide which methods of teaching are the best for them

- Involved in data processing and analysis service- Handled project related to data analysis such as market research and dataanalysis report

- Assisted 100+ biology and petroleum engineering students in Bandung Institute ofTechnology to learn Data Analysis and Basic Statistics through RStudio.- Subjects related to Data Analysis and Basic Statistics: Statistical Inference, ANOVA,Linear Regression, Time Series, Variogram Analysis, and Statistical ProcessControl.