AI & Software Engineer
My work spans AI research and software engineering—from NLP, computer vision, and RAG to full-stack applications. I'm interested in turning complex ideas into practical digital solutions.
Recognition
Global Top 100
Google Solution Challenge
Competition
APICTA Finalist
2024
Government Funding
PKM-KI Grant
Up to IDR 10 Million
About me
I'm Edwin, an Informatics Engineering graduate working in financial services, with a background in AI research and software development.
My experience spans NLP, computer vision, topic modeling, and retrieval-augmented generation, alongside full-stack projects involving interface design, APIs, testing, and deployment.
I'm interested in connecting research with practical engineering—especially where AI, data, and financial services meet. I also enjoy sharing what I learn through writing and technology content.
Global Top 100.
Google Solution Challenge · 2024
APICTA Finalist.
Business Services & R&D · 2024
Up to IDR 10M.
PKM-KI government funding
Selected work
A selection of work across AI research, data science, and software engineering—from applied experiments to practical products.
8 projects Case studies included
Case study An X/Twitter analytics platform featuring topic modeling, network analysis, influencer discovery, sentiment and emotion analysis, and conversational exploration.
APICTA Awards 2024 finalist in Business Services & R&D, representing Indonesia. User research included 10 interviews and a reported 40% workflow improvement.
Case study An AI-assisted waste-classification project combining a deep learning model with a Unity-based interactive experience.
Tested with over 300 children in Bandung; the project brief reports a 70% improvement in recycling skills and recognition among 14 Indonesian teams in the 2024 Google Solution Challenge.
Case study An AI-powered Learning Management System (LMS) with AI-generated quizzes and RAG-based question answering.
Funded through PKM-KI 2024 by the Indonesian Government and adopted by 3+ universities in Bandung.
Case study A document question-answering system combining vector retrieval and language models to provide context-grounded responses from PDF files.
Explores local LLM inference and vector search for document-based question answering.
Case study A loan application platform developed during a full-stack bootcamp. My work spans UI design, frontend and backend development, Android development, testing, and CI/CD deployment.
End-to-end development experience, from system design and implementation to testing and deployment.
More work
Other projects across applied AI, analytics, and software development.
Case study An interactive AI virtual pet combining hand-gesture recognition and AI-generated responses to explore natural interactions with intelligent applications.
Combines visual gesture interaction and conversational AI in an interactive experience.
Case study A customer segmentation and churn-analysis dashboard developed using RFM analysis and K-Means, presented at Data Science Weekend.
The project led to an invitation to present the dashboard at Telkomsel in South Jakarta.
Case study A smart parking solution combining AI, IoT, and YOLO technology, with booking, AI-based detection, and IoT sensors to simplify parking.
Prototype testing at Universitas Komputer Indonesia reported reduced parking congestion and waiting times.
Let's explore how thoughtful use of AI, data, and software can help solve it.
Experience & education
A path across research, data, and financial technology—shaped by hands-on projects and continuous learning.
Professional experience
BCA Finance
Learning how financial-services operations, business processes, and technology systems work together.
Research & leadership
CodeLabs UNIKOM
Led applied AI research and product work, contributing to NLP projects, technical presentations, and knowledge sharing.
Research & education
CodeLabs UNIKOM
Supported data science learning and research activities, helping translate analytical concepts into practical work.
Research & education
CodeLabs UNIKOM
Supported machine-learning learning and experimentation, including applied work in AI and computer vision.
Expertise
My approach combines AI experimentation, data understanding, and software engineering to build practical, context-aware solutions.
Experimenting with machine learning models and applying NLP, computer vision, and topic modeling to practical problems.
Building knowledge-grounded AI applications, exploring retrieval pipelines, and integrating language models into useful workflows.
Working with data pipelines, databases, APIs, and interactive applications to move from analysis to usable software.
Journal / 04
Notes, experiments, and moments from a life spent learning and building with technology.
01 / Writing
When speed, cost, and smarts beat sheer size in AI’s David vs. Goliath battle. Continue reading on Python in Plain English »
Read
How does AI know exactly what you want? It’s all about vectors. Continue reading on Medium »
Read
Demonstrating and exploring a few parameters as examples of how parameters impact generated images in Stable Diffusion with Python. Continue reading on Medium »
Read02 / Content creation
Short-form content about AI and technology.
Technology, creativity, and everyday experiences.
03 / Press & recognition
Selected publications and records covering projects, competitions, and achievements.
Tim Socialabs UNIKOM Berhasil Menjadi Finalis APICTA 2024
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Ayo Semangati 14 Developer Muda Indonesia Menuju Final Solution Challenge
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14 Developer Muda Indonesia Menuju Final Solution Challenge
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14 Developer Indonesia Masuk Semifinal Google Solution Challenge
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Lolos Pendanaan PKM-KI
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Finalis APICTA Research and Development (CC-RD)
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Finalis APICTA Business Services (HC-BS)
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Global Top 100 Google Solution Challenge 2024
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Sharing knowledge is part of how I learn, grow, and contribute to the technology community.
Let's connectGet in touch
Have an idea, a technical challenge, or an opportunity to collaborate? Let's start a conversation about AI, data, and software engineering.