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<!doctype html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Daffa Sulthon Kautsar — AI/ML Engineering</title>
<meta
name="description"
content="Daffa Sulthon Kautsar — building intelligent systems for healthcare. RAG pipelines, LLM fine-tuning, and inference deployment."
/>
<meta
property="og:title"
content="Daffa Sulthon Kautsar — AI/ML Engineering"
/>
<meta
property="og:description"
content="Building intelligent systems for healthcare — RAG, LLM fine-tuning, and inference deployment."
/>
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<meta name="theme-color" content="#fdfdfb" />
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rel="icon"
href="data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 32 32'%3E%3Ccircle cx='16' cy='16' r='6' fill='%230e7c66'/%3E%3Ccircle cx='16' cy='16' r='11' fill='none' stroke='%230e7c66' stroke-opacity='.45' stroke-width='1.5'/%3E%3C/svg%3E"
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<!-- Fonts: Newsreader (editorial serif) + IBM Plex Mono (utility) -->
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rel="stylesheet"
/>
<link rel="stylesheet" href="styles/main.css" />
</head>
<body>
<a class="skip-link" href="#about">Skip to content</a>
<header id="site-header">
<a href="#top" class="wordmark">daffakautsar<span class="wordmark-dot">.</span></a>
<nav aria-label="Primary">
<a href="#about">about</a>
<a href="#projects">projects</a>
<a href="#experience">experience</a>
<a href="#contact">contact</a>
<a
href="https://drive.google.com/file/d/1UHe1rm2u4jzMGZTMwn1K1GUE3DQ-_UHQ/view?usp=sharing"
target="_blank"
rel="noopener"
class="nav-resume"
>resume ↗</a
>
</nav>
</header>
<div id="scroll-progress" aria-hidden="true">
<div id="scroll-progress-fill"></div>
</div>
<main id="top">
<!-- Hero -->
<section id="hero">
<canvas id="neural-canvas" aria-hidden="true"></canvas>
<div class="hero-veil" aria-hidden="true"></div>
<div class="hero-inner">
<p class="hero-eyebrow">
// jakarta, indonesia — ai/ml engineering
</p>
<h1 class="hero-name">
Daffa <em>Sulthon</em> Kautsar
</h1>
<p class="hero-lede">
I build intelligent systems for
<em>healthcare</em> — retrieval-augmented
generation, LLM fine-tuning, and inference deployment
that bridge research and practical impact.
</p>
<ul class="hero-links">
<li>
<a
href="https://github.com/ZeeetOne"
target="_blank"
rel="noopener"
>github ↗</a
>
</li>
<li>
<a
href="https://linkedin.com/in/daffakautsar"
target="_blank"
rel="noopener"
>linkedin ↗</a
>
</li>
<li>
<a href="mailto:[email protected]"
>email</a
>
</li>
</ul>
</div>
<div class="scroll-hint" aria-hidden="true">
<span class="scroll-mouse">
<span class="scroll-mouse-wheel"></span>
</span>
<span class="scroll-hint-text">scroll</span>
</div>
</section>
<!-- ECG divider: the signal that ties AI to health -->
<div class="ecg" id="ecg" aria-hidden="true">
<svg viewBox="0 0 640 64" preserveAspectRatio="none">
<path
d="M0 32 H210 L228 32 L238 12 L250 52 L260 32 L276 32 H388 L404 32 L412 22 L422 44 L430 32 H640"
/>
</svg>
</div>
<!-- About -->
<section id="about" class="section">
<div class="section-inner">
<p class="eyebrow" data-reveal>// about</p>
<h2 data-reveal>From backend systems to intelligent ones.</h2>
<div class="prose" data-reveal>
<p>
I'm an Information Systems graduate with a
foundation in backend engineering, currently
pursuing a Master's in Information Systems
Management with a specialization in
<strong>AI for Health</strong> at Gunadarma
University (CGPA 3.80/4.00).
</p>
<p>
I'm making the transition into AI/ML engineering
the hands-on way — fine-tuning and serving
LLMs on my own hardware, building retrieval
pipelines end to end, and automating my daily
research reading. My backend roots in Spring Boot,
FastAPI, and event-driven systems mean I care as
much about how a model <em>ships</em> as how it
scores.
</p>
</div>
</div>
</section>
<!-- Featured projects -->
<section id="projects" class="section">
<div class="section-inner">
<p class="eyebrow" data-reveal>// selected projects</p>
<h2 data-reveal>Research, fine-tuned and deployed.</h2>
<article class="project" data-reveal>
<p class="project-year">2026</p>
<div class="project-body">
<h3>RAG Application</h3>
<p>
End-to-end retrieval-augmented generation for
PDF question answering with semantic search and
source attribution. Event-driven ingestion and
query workflows on Inngest, vector search on
Qdrant, and rate-limited, concurrency-controlled
APIs built for reliability.
</p>
<ul class="tags">
<li>Python</li>
<li>FastAPI</li>
<li>Qdrant</li>
<li>OpenAI</li>
<li>Inngest</li>
<li>Streamlit</li>
</ul>
</div>
</article>
<article class="project" data-reveal>
<p class="project-year">2026</p>
<div class="project-body">
<h3>
<a
href="https://github.com/ZeeetOne/llm-inference-deployment"
target="_blank"
rel="noopener"
>LLM Inference Deployment</a
>
</h3>
<p>
Fine-tuned LLaMA 3.2-1B served locally through
FastAPI in three configurations — base,
LoRA, and merged — for biomedical use.
8-bit quantization brings GPU memory down to
~1.8 GB, and the whole pipeline ships as a
GPU-enabled Docker container with a web UI for
side-by-side model comparison.
</p>
<ul class="tags">
<li>Python</li>
<li>FastAPI</li>
<li>Docker</li>
<li>PyTorch</li>
<li>LoRA</li>
</ul>
</div>
</article>
<article class="project" data-reveal>
<p class="project-year">2026</p>
<div class="project-body">
<h3>
<a
href="https://github.com/ZeeetOne/bioinstruct-finetuning-experiment"
target="_blank"
rel="noopener"
>LLM Fine-tuning — BioInstruct</a
>
</h3>
<p>
Parameter-efficient fine-tuning of LLaMA
3.2-1B-Instruct on a 15K-sample biomedical
instruction dataset to evaluate domain
adaptation. LoRA adapters merged into a
standalone model and published on Hugging Face
for downstream use.
</p>
<ul class="tags">
<li>Python</li>
<li>PyTorch</li>
<li>LoRA</li>
<li>Unsloth</li>
<li>Hugging Face</li>
</ul>
</div>
</article>
<article class="project" data-reveal>
<p class="project-year">2026</p>
<div class="project-body">
<h3>Morning AI Journal</h3>
<p>
An automated pipeline that fetches the latest
arXiv AI papers every morning, generates
Indonesian summaries and comprehension quizzes
with the OpenAI API, and delivers them through
an interactive Telegram bot — with read
tracking logged to Google Sheets.
</p>
<ul class="tags">
<li>n8n</li>
<li>OpenAI API</li>
<li>Telegram Bot</li>
<li>Google Sheets</li>
</ul>
</div>
</article>
<div class="archive" data-reveal>
<p class="archive-label">earlier explorations</p>
<ul class="archive-grid">
<li>
<a
href="https://github.com/ZeeetOne/ann-from-scratch"
target="_blank"
rel="noopener"
>
<span class="archive-title"
>Neural Network Builder</span
>
<span class="archive-desc"
>Build and train an ANN from scratch
with a visual interface.</span
>
<span class="archive-tech"
>Python · NumPy</span
>
</a>
</li>
<li>
<a
href="https://github.com/ZeeetOne/transformer-from-scratch"
target="_blank"
rel="noopener"
>
<span class="archive-title"
>Transformer Visualizer</span
>
<span class="archive-desc"
>Interactive visualization for learning
transformer architecture.</span
>
<span class="archive-tech"
>TypeScript · D3.js</span
>
</a>
</li>
<li>
<a
href="https://github.com/ZeeetOne/fotmob-scraper"
target="_blank"
rel="noopener"
>
<span class="archive-title"
>FotMob Scraper</span
>
<span class="archive-desc"
>Premier League match data and
statistics extraction.</span
>
<span class="archive-tech"
>Python · BeautifulSoup</span
>
</a>
</li>
<li>
<a
href="https://github.com/ZeeetOne/pl-team-analysis"
target="_blank"
rel="noopener"
>
<span class="archive-title"
>PL Analytics Dashboard</span
>
<span class="archive-desc"
>Interactive team performance analysis
in Streamlit.</span
>
<span class="archive-tech"
>Python · Streamlit</span
>
</a>
</li>
</ul>
</div>
</div>
</section>
<!-- Experience -->
<section id="experience" class="section">
<div class="section-inner">
<p class="eyebrow" data-reveal>// experience</p>
<h2 data-reveal>Where I've worked and trained.</h2>
<article class="entry" data-reveal>
<p class="entry-date">2023 — 2025</p>
<div class="entry-body">
<h3>Information Systems Laboratory Assistant</h3>
<p class="entry-org">Gunadarma University</p>
<p>
Delivered practicum sessions, developed
assessment materials, and worked with lecturers
and coordinators to keep lab courses running
for nearly two years.
</p>
</div>
</article>
<article class="entry" data-reveal>
<p class="entry-date">2024</p>
<div class="entry-body">
<h3>Back-End Java Student — BCA Scholarship</h3>
<p class="entry-org">SYNRGY Academy</p>
<p>
Competitive bootcamp covering Java, Spring
Boot, SQL, and microservices. Built OAuth
2.0-secured REST APIs and event-driven services
with Kafka; final project
<em>SETARA</em>, a banking system with
inter-account transfers and filtered
transaction history.
</p>
</div>
</article>
<article class="entry" data-reveal>
<p class="entry-date">2024</p>
<div class="entry-body">
<h3>Cloud Computing Cohort</h3>
<p class="entry-org">
Bangkit Academy — Google, GoTo, Traveloka
</p>
<p>
Hands-on Google Cloud Platform program.
Capstone <em>MamMates</em>: designed the cloud
architecture and storage for an ML-based
food-waste reduction app.
</p>
</div>
</article>
<article class="entry" data-reveal>
<p class="entry-date">2019</p>
<div class="entry-body">
<h3>Frontend Web Developer Intern</h3>
<p class="entry-org">PT. Omah Hijau Mandalika</p>
<p>
Built a responsive library web interface in PHP
with AJAX-integrated REST APIs.
</p>
</div>
</article>
</div>
</section>
<!-- Education & certification -->
<section id="education" class="section">
<div class="section-inner">
<p class="eyebrow" data-reveal>// education & certification</p>
<h2 data-reveal>Gunadarma University, twice over.</h2>
<article class="entry" data-reveal>
<p class="entry-date">present</p>
<div class="entry-body">
<h3>M.S. Information Systems Management</h3>
<p class="entry-org">
Specialization in AI for Health · CGPA
3.80/4.00
</p>
</div>
</article>
<article class="entry" data-reveal>
<p class="entry-date">2025</p>
<div class="entry-body">
<h3>B.S. Information Systems (S.Kom)</h3>
<p class="entry-org">CGPA 3.77/4.00</p>
</div>
</article>
<ul class="certs" data-reveal>
<li>
<span>Associate Data Engineer — BNSP</span>
<span class="cert-year">2024</span>
</li>
<li>
<span>Advanced Database Systems — Gunadarma</span>
<span class="cert-year">2024</span>
</li>
<li>
<span>Go (Golang) Intermediate — Gunadarma</span>
<span class="cert-year">2023</span>
</li>
<li>
<span>C# Intermediate — Gunadarma</span>
<span class="cert-year">2023</span>
</li>
</ul>
</div>
</section>
<!-- Skills -->
<section id="skills" class="section">
<div class="section-inner">
<p class="eyebrow" data-reveal>// skills</p>
<h2 data-reveal>The working toolkit.</h2>
<dl class="skills" data-reveal>
<div class="skill-row">
<dt>languages</dt>
<dd>Python · Java · JavaScript · SQL</dd>
</div>
<div class="skill-row">
<dt>ai / ml</dt>
<dd>
PyTorch · TensorFlow ·
Scikit-learn · Hugging Face ·
NLP · RAG · LoRA
</dd>
</div>
<div class="skill-row">
<dt>backend</dt>
<dd>
FastAPI · Spring Boot · Flask
· Laravel
</dd>
</div>
<div class="skill-row">
<dt>databases</dt>
<dd>
PostgreSQL · MySQL · Supabase
· Qdrant
</dd>
</div>
<div class="skill-row">
<dt>tools</dt>
<dd>
Docker · GitHub · Postman
· Streamlit · n8n
</dd>
</div>
</dl>
</div>
</section>
<!-- Contact -->
<section id="contact" class="section section-contact">
<div class="section-inner">
<p class="eyebrow" data-reveal>// contact</p>
<h2 data-reveal>
Working on something at the intersection of AI and
health? <em>Let's talk.</em>
</h2>
<p class="contact-mail" data-reveal>
<a href="mailto:[email protected]"
>
</p>
<ul class="contact-links" data-reveal>
<li>
<a
href="https://github.com/ZeeetOne"
target="_blank"
rel="noopener"
>github ↗</a
>
</li>
<li>
<a
href="https://linkedin.com/in/daffakautsar"
target="_blank"
rel="noopener"
>linkedin ↗</a
>
</li>
<li>
<a
href="https://drive.google.com/file/d/1UHe1rm2u4jzMGZTMwn1K1GUE3DQ-_UHQ/view?usp=sharing"
target="_blank"
rel="noopener"
>resume ↗</a
>
</li>
</ul>
</div>
</section>
</main>
<footer id="footer">
<p>© 2026 Daffa Sulthon Kautsar</p>
<p class="footer-note">open to AI/ML opportunities</p>
</footer>
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