SELECTED WORK / 2024—2026

Built to solve.
Built to show.

I'm a full-stack and AI software engineer with an independent quantitative research practice. These case studies distinguish live products, inspectable public code, and private research implementations—so you can see what is evidenced and what remains confidential.

ENGINEERING DISCIPLINES
01 Full-stack products
02 Applied AI & automation
03 Quantitative research systems

No imaginary client metrics, false production benchmarks or proprietary signal disclosures.

09 DOCUMENTED CASE STUDIES03 AREAS OF EXPERTISE0 CLAIMED LIVE TRADING RETURNS
THE WORK / TRACEABLE EVIDENCE

Products, systems
and the work behind them.

Select a discipline to explore. Every case includes an evidence link or a disclosure about why its source cannot be public.

FULL-STACK / LIVE WEBSITELive site

Inti Property

Property marketplace & listing portal

A property-discovery experience connecting listings, agencies and prospective buyers. The public site exposes property categories, location browsing, agent pages and posting entry points. My CV describes work across frontend, backend, database, API integration, debugging and deployment.

Web application · Database · API integration · Deployment
FULL-STACK / LIVE WEBSITELive site

KODEKO

Commerce & cooperative services

A customer-facing business website combining a shopping catalogue, cart/checkout entry points, membership-oriented services and content. My CV lists KODEKO e-commerce and ordering among delivered web projects.

E-commerce · Ordering flows · Web integration
FULL-STACK / PUBLIC CODEPublic code

Employee Attendance System

Laravel application with operational workflows

A Laravel 11 project whose README describes photo attendance, geolocation, leave/permission requests and admin attendance review. The repository exposes the application structure, routes, migrations and tests.

Laravel 11 · PHP · Admin workflows · Database
FULL-STACK / PUBLIC CODEPublic code

Minat Bakat Platform

Next.js application backed by Prisma

An educational interest-and-aptitude application with a visible Next.js 15 / React 19 codebase, Prisma schema, middleware and application routes. Demonstrates modern full-stack application structure.

Next.js · React · TypeScript · Prisma
AI ENGINEERING / PUBLIC CODEPublic code

Batch Background Removal

A local-first computer vision service

A FastAPI application that validates uploaded image content, handles EXIF orientation, runs rembg/ONNX inference and returns a ZIP of transparent PNGs. Includes a browser interface, CLI folder workflow and Dockerfile.

FastAPI · Python · Pillow · ONNX · Docker
AI ENGINEERING / PRIVATE BUILDPrivate case

Nusantara AI Video Pipeline

Automated media workflow & quality gates

A Python-based content pipeline with asset preparation, transcription, rendering controls and staged validation. Repository artifacts document checksum verification, smoke checks and rollback-oriented patching.

Python · FFmpeg · Transcription · Media automation
QUANT ENGINEERING / PRIVATE BUILDPrivate case

Crypto Strategy Lab (BacktestApp)

Deterministic research workflow

A local FastAPI/Jinja research MVP integrating historical data imports, a constrained strategy DSL, a replayable backtest engine, ledger/equity artifacts, and evidence-oriented result views.

Python · FastAPI · Parquet · SQLite · Testing
QUANT ENGINEERING / PRIVATE BUILDPrivate case

Funding Carry & Hedge Research

Cross-exchange data and paper feasibility

Research software for examining funding, fees, borrow availability, liquidity and the constraints of hedged positions. Its documented monitoring mode uses public market data and a separate simulated ledger.

FastAPI · Next.js · PostgreSQL · Redis · Docker
QUANT RESEARCH / PUBLIC SUMMARYPublic evidence

FastGrab ASOF V3

Historical simulation with explicit limitations

A private SOLUSDC 15-minute research strategy with a public monthly/yearly aggregate report, directional statistics, and disclosures about unresolved reconciliation. The algorithm and individual fills are not disclosed.

Causal research · Backtest reporting · Audit discipline
HOW I WORK

From requirements
to verifiable delivery.

01 / DEFINE

Requirements, constraints, security boundaries, and acceptance criteria.

02 / BUILD

Readable software, appropriate architecture, and testable interfaces.

03 / VERIFY

Tests, reproducible artifacts, operational documentation, and candid limitations.

AVAILABLE FOR COLLABORATION

What should we
build next?

Custom full-stack systems, AI integrations, research automation and backtesting infrastructure. Share your brief; I'll help scope an achievable first milestone.

Start a project ↗