Muhammad Fikry Rizal

Worked as Co-Founder at Aijen Teknologi.

Co-founded and built GenAI systems for production, focusing on RAG architectures and LLM agents.

·        Designed and implemented GenAI agents (Day-2 Ops, Ticketing, Document, Drive-Test) using LangChain, LangGraph, and open-source LLMs (LLaMA via Ollama/vLLM); deployed them as scalable FastAPI microservices for multi-client telecom operations.

·        Built hybrid alert-correlation pipelines (Telegraf -> Kafka/Timescale) combining topology awareness, vector search (Milvus), and HDBSCAN/

●​ Developed AI and Data Science curricula aligned with industry standards, integrating current LLM and
MLOps practices into learning content.

●​ Built LLM-based automated grading tools that streamlined 500+ student assessments.

●​ Analyzed student performance data and improved course pass rates by 20%.

●​ Delivered 10+ technical sessions (webinars, mentoring, bootcamps) for 1,500+ learners; re

● Designed and implemented automation scripts using Python and JavaScript to create raw data, significantly reducing manual work in extracting source code from each endpoint into Abstract Syntax Tree (AST) format
● Created and optimized raw data in AST format from various source codes using Python, enhancing metadata character length efficiency. Managed over 5 source files for a single endpoint
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● Organized and led a team of two in developing AI product solutions
● Collected and integrated data from over 10 diverse sources (websites, social media, etc.) to create a comprehensive text correction system
● Developed algorithms using Python and performed comparative analysis with various models, including LSTM, BERT, and RNN

● Organized and led a team of two in developing AI product solutions
● Collected and integrated data from over 10 diverse sources (websites, social media, etc.) to create a comprehensive text correction system
● Developed algorithms using Python and performed comparative analysis with various models, including LSTM, BERT, and RNN

● Migrated 500 datasets to a new cloud platform, AWS
● Cleaned and corrected customer data using Python and Excel, improving the quality of over 100 customer records
● Conducted cohort analysis to gain insights into customer retention. Discovered that customer repurchase rates significantly increased during semester breaks (June-August and January-February), with a repurchase rate of up to 50%

Pursuing a Master of Computer Science in Artificial Intelligence at Universitas Gadjah Mada.

Earned a Bachelor of Science in Physics from Universitas Islam Negeri Jakarta.