Ali Maksudi
AI/ML Engineer building production systems
📍 Jakarta, Indonesia
I turn messy business workflows into reliable AI/ML systems: retrieval pipelines, agentic tools, model-backed decisions, and data services that can survive production constraints.
Capabilities
Systems I build
RAG & Agent Systems
Retrieval, tool use, orchestration, and evaluation loops for LLM features that need grounded answers and predictable execution.
ML Decision Systems
Feature pipelines, model training, explainability, and monitoring for risk, fraud, scoring, and other decision-heavy workflows.
Data + Serving Layer
APIs, storage, document processing, and data flow design for AI products that need reliable inputs and auditable outputs.
Case Studies
Selected systems
Multi-Agent Investment Advisor
70% faster analysisAgent orchestration / FastAPI / retrieval tools
Automated the slowest parts of investment research: data retrieval, trend analysis, risk review, and recommendation drafting.
RAG Document Intelligence
+25% retrieval accuracyHybrid search / re-ranking / document intelligence
Turned OCR-ingested document collections into searchable, metadata-aware knowledge systems with hybrid retrieval and re-ranking.
Work
Experience
Forward Deployed AI Engineer
Sept 2025 - OngoingHupo (Contract)
Insurance System Migration (European Financial Client)
- Applied an ML-based approach to segment and consolidate 200+ legacy insurance products, enabling streamlined product portfolios and improved maintainability.
- Translated ambiguous business requirements into concrete technical scope, owning alignment across product, engineering, and compliance stakeholders.
- Provided architectural oversight on AI product systems, influencing design decisions around orchestration, data flow, and reliability across selected projects.
Data Scientist & AI Engineer
May 2024 - Aug 2025SQE
Enterprise AI Systems (LLM, RAG, Multi-Agent)
- Architected and deployed an HR AI assistant handling 10k+ queries/month, automating ~45% of employee inquiries and significantly reducing HR operational workload.
- Built an investment advisory chatbot that connects internal portfolio data in BigQuery with web search tools for market context and peer benchmarking, improving analysis speed by ~2x and enabling automated reporting for finance management.
- Optimized RAG pipelines through advanced chunking, metadata filtering, and re-ranking, improving retrieval accuracy by ~25%.
Data Scientist
Oct 2021 - May 2024Sinarmas Mining
Credit Score Development
- Led end-to-end development of credit scoring models deployed across 12+ financial institutions, improving lending decision accuracy by ~20% and reducing default rates by ~12%.
- Served as model spokesperson during Otoritas Jasa Keuangan (OJK) audits, presenting methodology and evaluation results alongside the Board of Directors and senior management.
- Built ML pipelines, monitoring, and governance systems on Alibaba Cloud and Cloudera for regulated production environments.
Data Scientist, Anti-Fraud
Sept 2018 - Sept 2019JD.ID
- Developed hybrid fraud detection systems (ML + rule-based), achieving 95% detection accuracy and reducing fraud-related losses by ~30%.
- Built real-time ETL pipelines and dashboards for fraud monitoring, improving operational visibility and response time.
Training
Education
Beijing Institute of Technology, Beijing, China
M.S. Computer Science
2019 – 2021Chinese Scholarship Council Awardee
Beijing Institute of Technology, Beijing, China
B.S. Computer Science
2013 – 2017Double-degree exchange with Mercubuana University
Writing