Edi Wijaya

Edi Wijaya

🎨 Hello! I’m Edi Wijaya, an AI Engineer based in Jakarta, Indonesia.

With over 6 years of hands-on experience, I specialize in building high-impact AI solutions that drive business value across Artificial Intelligence, Software Engineering, and Data Science.

🌈 About Me

I’m a Machine Learning Engineer who enjoys building smart systems that actually make a difference. I come from a modest background, so I’ve always valued learning deeply, thinking long-term, and using technology to create real impact—especially in finance and decision-making. For me, it’s not just about the models or the code, but about crafting solutions that are thoughtful, reliable, and genuinely useful.

💼 Experience

Senior AI Engineer - STAR AM | Jan 2026 - Present

  • Initiate data analytics architecture that adhere best practices to reduce redundant process by 20% and deliver higher 20% by the same workload.
  • Own data pipeline to reflect accuracy and trustworthy data for asset management.
  • Perform process improvement in data analytics to reduce risk of compliance.

Senior AI Engineer - Danamas | Sep 2022 - Jan 2026

  • Develop and deploy OCR and Agentic AI solution using Large Language Model and Retrieval Augmented Generation to improve the efficiency of bank statement and financial statement process productivity from 5 days into 1 hour (a scale of 20x higher improvement). Used by credit risk department and IT department. Influencing workflow improvement across company-wide.
  • Implement a hybrid Generative AI and OCR solution to reduce manual loan data validation costs by 90%.
  • Deploy data science and analytics solutions to production to reduce the risk of loan defaults and manual workload by 50%.

Data Scientist - Pitik | Nov 2021 - Sep 2022

  • Lead, develop, and maintain Data Warehouse and ETL pipelines (batch processing) that allow data analytics system available to stakeholders.
  • Develop and maintain data engineering pipeline of IoT data, ElasticSearch, for data science usage.
  • Conducted data analysis that support business outcome.

Data Scientist - Evermos | Oct 2020 - Nov 2021

  • Build and deployed a stock recommendation system to optimize warehouse.
  • Created interactive dashboards to provide insights into sales trends and customer behavior.
  • Collaborated with the engineering team to integrate machine learning models into the company’s e-commerce platform.

🎓 Education

Bachelor of Science in Electrical Engineering - Institut Teknologi Bandung | 2020

  • Graduated with Cum Laude
  • Relevant coursework: Mathematics I and II, Probability and Statistics, Discrete Mathematics, Machine Learning, Computer Architecture, and Computer Networks.

🚀 Projects

Credit Risk Scoring System

Built an AI-powered credit evaluation system that automates assessments to enhance accuracy, lower costs, and reduce manual effort.

  • Impact: +20% model accuracy, -50% data cost, 5-minute scoring time (from hours scale)
  • Tools: Python, SQL, Logistic Regression, FastAPI, Pefindo API

OCR++ for ID Document Extraction

Developed an LLM-based OCR pipeline for precise data extraction from KTP (national ID) images, streamlining identity verification. Achieved 95–99% accuracy on good photo docs.

  • Impact: Cost down to Rp30–40/doc
  • Tools: Deep Learning, OpenAI API, FastAPI, Python

Property Valuation Tool

Created an automated system that extracts and structures property document data, enabling rapid appraisal processes.

  • Impact: Reduce process from hours to seconds; structured data ready for ML
  • Tools: Python, SQL, Geospatial Libraries, FastAPI

Bank Statement Analyzer

Engineered a system to transform unstructured PDF bank statements into clean, analysis-ready data.

  • Impact: Improved data quality and cut processing time significantly
  • Tools: NLP, PDF Parser, Python, FastAPI, HTML

End-to-End Data Architecture

Architected a comprehensive data stack from ingestion to visualization for KPI monitoring and analytics.

  • Impact: Trusted by C-levels, enabled forecasting workflows
  • Tools: Meltano, dbt, AWS Redshift, Metabase, Airflow, Singer

LLM for Sentiment & Summarization

Optimized open-source LLMs for efficient text analysis through fine-tuning and performance optimization.

  • Impact: Balanced performance with low resource needs
  • Tools: LLaMA, Flan-T5, LoRA, Quantization (INT8/FP16), Prompt-tuning

🔨 Skills

  • Generative AI
  • Python
  • Data Engineering

  • Quantitative Finance

  • Data Science
  • Statistics
  • System Design

  • Deep Learning

  • Machine Learning
  • FastAPI
  • Software Engineering
  • Mathematics

📬 Contact

Let’s create something amazing together! Reach out to me at:

Thanks for stopping by my corner of the internet! 💫