Hi, I'm

Ketut Toto
Suryahadinata

Fullstack AI / Machine Learning Engineer

I turn AI initiatives into real products — from research to production MLOps.

Get in touchResume

📍 Jakarta, Indonesia

Ketut Toto Suryahadinata
6+ yrs
Building AI in production
75%
Reduction in testing cycles
90%
Manual analysis error eliminated
IDR 100B+
Estimated savings delivered

01 · About

Who I am

Senior AI/ML engineer specializing in turning AI initiatives into impactful, seamless real-world products. Six years building systems across machine learning, computer vision, and agentic platforms for aquaculture, fintech, and major financial institutions. Comfortable spanning research, full-stack development, production MLOps, and mentoring.

Languages
PythonRSQLGoTypeScriptJava
AI / ML
PyTorchTensorFlowYOLOOpenCVRAGLLM fine-tuningLangChainLangGraphMCPRASAAmazon BedrockOpenAI API
MLOps / DevOps
MLflowFeastAirflown8nDockerKubernetesGitHub ActionsAWSAzureLiteLLMUnsloth
Data & Databases
PostgreSQLMongoDBRedisSnowflakeRedshiftDBTElasticsearchQdrantWeaviateNeo4j
Backend
FastAPIDjangoFlaskFastifyExpressCeleryLaravel
Frontend
Next.jsReactVue.jsAngular
Education
B.Eng., Geophysics Engineering
Pertamina University · 2016 – 2020

02 · Experience

Where I've worked

Senior AI Engineer @ SimplifyAi

Jan 2025 – Present · Full-time · Jakarta
  • Designed the retrieval strategy for a legal-document RAG system handling thousands of documents — now reused across multiple client deployments.
  • Architected the full agentic-AI platform for a leading Indonesian bank on-site: FastAPI services, LangGraph / Jira / Confluence integrations, guardrails, and CRUD for their engineering, data, and solutions teams.
  • Built a dynamic skill framework that lets non-engineers add new agent capabilities with no engineering round-trips.
  • Set up monitoring and observability for agent runs in production. Shipped a second bank's full platform in 6 months, in parallel.

Machine Learning Engineer Lead @ Insignia Indonesia

Jun 2025 – Sep 2025 · Full-time · Hybrid, Jakarta
  • Built a lead-scoring MLOps pipeline from the ground up — experiment tracking, model versioning, feature management — deployed on-prem so the team owned it.
  • Connected GenAI tools (Dify, n8n) into the broader system so automation workflows worked together instead of in silos.
  • Shipped an LLM-based OCR system and a RAG pipeline reasoning over medical images (stool analysis) for diagnostic support.
  • Owned end-to-end builds for an AI campaign-simulation platform and a "Chat with Your Data" tool: backend, frontend, integrations, CI/CD, database, credentials.

Senior Data Scientist @ PT Delos Maritim Jaya

Jun 2022 – Apr 2025 · Full-time · Hybrid, Jakarta
  • Deployed shrimp-disease prediction models (reinforcement learning) that cut PCR testing from ~every 15 days to 4–5 tests per 90-day cycle.
  • Ran statistical testing on water-treatment effects, driving an estimated IDR 100B+ in savings by eliminating ineffective chemicals.
  • Built computer-vision systems for shrimp-stomach conditions (90% reduction in analyst misinterpretation) and phytoplankton analysis (~30% better than mid-level lab analysts).
  • Built AquaSym, a farm ERP (Appsmith + Django), and an automated shrimp-PCR report interpreter cutting lab analysis time ~80%. Built the L1–L4 data pipeline on Redshift + DBT.
  • Delivered automated farm-cycle reports and data-analysis dashboards, helping farmers boost profits by 30%.
  • Built RAG-LLM tools that let experts query historical farm data for operational decisions, achieving 90% alignment with senior expert recommendations.
  • Contributed Go backend services and Next.js frontend across cross-functional teams, expanding full-stack delivery beyond data science.

Full-Stack Developer @ Omdena

Aug 2022 – Nov 2022 · Contract · Remote
  • Built the MVP dashboard (user dashboards, Mapbox visualizations, scoring views) in Next.js, improving engagement ~25%.
  • Built REST APIs for per-point score calculation (Fastify + Next.js serverless), MongoDB data flow, and secure auth.

R&D Engineer @ Bangun Inovasi Teknologi (BIT House)

Jun 2021 – Apr 2022 · Full-time · Hybrid, Bali
  • Built production computer-vision systems: ID-card OCR, crowd-counting for malls, face-recognition attendance, and fish counting / species recognition.
  • Developed a full-stack trading-bot app (Vue.js + Django); taught data-analytics bootcamp modules and mentored a national AI competition team.

Machine Learning Engineer @ Omdena

Mar 2021 – Sep 2021 · Contract · Remote
  • Built object-detection and classification models to detect fall armyworm in African croplands from satellite imagery.
  • Developed an NLP conversational model (RASA) and an abuse-detection model, deployed as a Flask API on Heroku.

03 · Contact

Let's talk

Open to AI/ML engineering, MLOps, and data science work. The fastest way to reach me is email.

ketuttotosuryahadinata@gmail.com
GitHub ↗LinkedIn ↗Resume ↓