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Praditya Wicaksono
AVAILABLE FOR MLOPS
SYS // ID

AI SYSTEMS & MLOPS ENGINEERREKAYASAWAN SISTEM AI & MLOPS

PradityaWicaksono

Building production RAG pipelines, LLM microservices, vector similarity search, and low-latency MLOps infrastructure.Membangun pipeline RAG produksi, microservice LLM, pencarian vektor, dan infrastruktur MLOps berlatensi rendah.

ABOUT METENTANG SAYA

Engineering Systems for Real ImpactMerancang Sistem untuk Dampak Nyata

I studied how humans learn and turn ideas into reality. That led me to build software that works: AI systems and digital products designed for real use.Saya mempelajari bagaimana manusia belajar dan mewujudkan ide. Itu mengarahkan saya untuk membangun perangkat lunak yang berfungsi: sistem AI dan produk digital yang dirancang untuk penggunaan nyata.

M.C.S.M.KomMaster of Computer ScienceMagister Komputer
FocusFokusSoftware & AI SystemsSistem AI & Perangkat Lunak

SYSTEM VERIFICATION & BENCHMARKSVERIFIKASI SISTEM & BENCHMARK

End-to-End Systems Built for Scalability & IntegritySistem End-to-End yang Dibangun untuk Skalabilitas & Integritas

Grounded in production evidence, rigorous bench testing, explainable AI attribution, and low-latency API proxying.Berdasarkan bukti produksi, pengujian terukur, atribusi AI transparan, dan proxying API berlatensi rendah.

2+

Years of ExperiencePengalaman Kerja

AI & Fullstack EngineeringRekayasa AI & Fullstack

4

Core SystemsSistem Utama

Production & Open SourceProduksi & Open Source

< 180ms

API Ingestion LatencyLatensi Ingest API

Redis BullMQ QueueAntrean Redis BullMQ

< 12ms

Vector SearchPencarian Vektor

pgvector HNSW SearchPencarian pgvector HNSW

01
RAG System
Resumix AI — Private Candidate Screening Platform
Next.js 14Express/Redis QueueVector DBLLM APIs

Resumix AI — Private Candidate Screening PlatformResumix AI — Platform Seleksi Kandidat Privat

AI candidate screening platform built to analyze resumes, reduce screening latency, and rank candidates using Next.js 14, Express, Redis, and LLM APIs.Platform seleksi kandidat berbasis AI untuk menganalisis resume, memotong latensi skrining, dan memeringkat kandidat menggunakan Next.js 14, Express, Redis, dan LLM API.

02
RAG System
Maestro — Intelligent Tutoring System
Flutter WebRiverpodReinforcement LearningLLM APIs

Maestro — Intelligent Tutoring SystemMaestro — Sistem AI Tutor Adaptif

Adaptive AI tutoring platform built to personalize student learning paths in real-time and deliver study Q&A using Flutter Web, Riverpod, Reinforcement Learning, and LLM APIs.Platform AI tutor adaptif untuk mempersonalisasi jalur belajar siswa secara real-time dan menyajikan tanya-jawab materi menggunakan Flutter Web, Riverpod, Reinforcement Learning, dan LLM API.

03
SaaS Extension
GeoSchema Bot — Spatial Data Mining & B2B Lead Intelligence Engine
TypeScript 5.5Chrome MV3React 18Apache Parquet

GeoSchema Bot — Spatial Data Mining & B2B Lead Intelligence EngineGeoSchema Bot — Engine Data Mining Spasial & Lead Intelligence B2B

Google Maps spatial data scraper Chrome extension built to collect B2B lead data and export to Parquet or Excel using TypeScript, Chrome MV3, React 18, and Leaflet.js.Ekstensi Chrome pengumpul data lokasi Google Maps untuk mengotomatisasi pencarian prospek bisnis (B2B leads) dan mengekspor data ke Parquet/Excel menggunakan TypeScript, Chrome MV3, React 18, dan Leaflet.js.

04
BI Analytics
BI Analytics & Financial Operational System
Next.js 15PostgreSQL Star SchemaRedis CachePython ML

BI Analytics & Financial Operational SystemBI Analitik & Sistem Operasional Keuangan

BI analytics dashboard and financial management system built to forecast vehicle sales and visualize transaction metrics using Next.js 15, PostgreSQL Star Schema, Redis, and Python Machine Learning.Dashboard BI dan sistem manajemen keuangan untuk memprediksi penjualan kendaraan dan memvisualisasikan data transaksi menggunakan Next.js 15, PostgreSQL Star Schema, Redis, dan Python Machine Learning.

LATEST ARTICLESARTIKEL TERBARU

Thoughts & Technical WritingPemikiran & Tulisan Teknis

Engineering & PedagogyRekayasa & Pedagogi
August 17, 2026•5 min

Degrees vs Real Capability: The Software Hiring Dilemma and New Ways to Teach AIGelar vs Kemampuan Nyata: Tantangan Merekrut Programmer dan Cara Baru Mengajar AI

A practical perspective on degree bias in software engineering hiring, peer-developer insights, and the pedagogical dilemma faced by future AI educators in balancing foundational programming with rapid AI adoption.Pandangan praktis tentang bias ijazah dalam rekrutmen programmer, wawasan praktisi industri, serta dilema pengajar AI dalam menyeimbangkan dasar pemrograman dan pesatnya adopsi AI.

GET IN TOUCHHUBUNGI SAYA

Hiring for System Integration?Membutuhkan integrasi sistem?

Open for full-time roles and freelance projects. Whether it's building production AI systems or shipping real products, let's discuss.Terbuka untuk posisi full-time dan freelance-remote. Baik membangun sistem AI produksi atau mengirim produk nyata, mari diskusikan.

Profiles & NetworksProfil & Jaringan

© 2026 Praditya Wicaksono. All rights reserved.

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