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Deploying Production-Grade AI: Open for Remote Jobs and Projects

I Build AI Systems
That Ship & Scale.

Aryanto | |

9+ years architecting end-to-end MLOps pipelines, real-time recommendation engines, and production AI.

Proven execution across 10+ industries. Zero agency overhead and no junior handoffs. Just direct access to senior technical leadership from architecture to production code.

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End-to-End Deep Learning/AI (GCP Native)
Real-time Data Activation (Notifications & Attribution)
Post-Campaign Performance & Business Analytics
production_pipeline.py 
# End-to-end MLOps pipeline
from ml_engine import Pipeline

pipeline = Pipeline(
    source="bigquery://prod_analytics",
    model="recommender_v3",
    target="revenue_optimization"
)

pipeline.validate()  # 0 errors
pipeline.deploy(
    cloud=["gcp"],
    ci_cd=True,
    monitoring=True
)

# Model Evaluation (v3 vs Baseline)
# ├─ Offline NDCG@10: 0.842 (+12.4%)
# ├─ Online CTR Uplift: +18.4%
# └─ Log Loss: 0.142
100% 0%
Trusted by teams across:
Years in Production
9+
Building & deploying ML systems
Industries Served
10+
Cross-domain pattern recognition
Team Members Mentored
15+
Growing data science capability
Shipped ML/AI Systems
75+
End-to-end enterprise ML/AI solutions.

THE STACK BEHIND THE SYSTEMS

Tech Arsenal

End-to-end expertise covers AI models, customer intelligence, scalable data platforms, cloud deployment, and frontend experiences that convert insight into action.

Select any technology badge to view how it is used, experience context, and project outcomes.

01 TECH DOMAIN

Languages & Core

I use Python and SQL to take analytical work from raw data through feature engineering and production workflows, with R for statistical analysis. C, C++, Cython, Rust, and Julia broaden the toolkit for native extensions, numerical work, and performance-sensitive engineering.

  • Python
  • SQL
  • R
  • Julia
  • Cython
  • C
  • C++
  • Rust
02 TECH DOMAIN

ML & AI Frameworks

I build, compare, tune, and interpret predictive models across tabular machine learning and deep learning. The emphasis is on reproducible evaluation and dependable model outputs that can support real business decisions or research workflows.

  • Scikit-learn
  • PyTorch
  • XGBoost
  • LightGBM
  • Optuna
  • SHAP
  • Detectron2
  • YOLOv5
  • YOLOv8
  • ResNeXt
03 TECH DOMAIN

LLM & Generative AI

I architect and integrate production-oriented Generative AI solutions and document-grounded conversational systems. Using RAG workflows, vector search, LangChain orchestration, and model APIs through OpenRouter and Google AI Studio, I connect authoritative documentation to natural-language interfaces while designing retrieval and grounding steps to reduce hallucinations.

  • Google Gemini
  • LangChain
  • Hugging Face
  • OpenRouter
  • Google AI Studio
  • REST APIs
  • Dialogflow
04 TECH DOMAIN

Recommendation & Search

I design and build multi-stage candidate retrieval, personalization, and learning-to-rank architectures. This stack spans custom CoopRecSys tooling, deep learning recommendation models (NVIDIA Merlin, TF Recommenders), ANN vector search (ScaNN, Faiss), matrix factorization, and LambdaMART ranking.

  • CoopRecSys
  • ScaNN
  • NVIDIA Merlin
  • TF Recommenders
  • LightFM
  • Implicit
  • Faiss
  • Surprise
  • DeepCTR
  • Annoy
  • FP-Growth
  • LightGBM (LTR)
05 TECH DOMAIN

Computer Vision & Geospatial AI

I apply object detection, deep neural networks, and spatial analysis libraries to image analytics, remote sensing, and GIS monitoring. Project experience includes forestry and agricultural imagery, with use cases involving trees, floods, weeds, nurseries, and plant health.

  • Detectron2
  • YOLOv5
  • YOLOv8
  • ResNeXt
  • QGIS
  • GDAL
  • Rasterio
  • Fiona
  • PySHP
06 TECH DOMAIN

Data Engineering & Storage

I build analytical data layers and dependable batch or event-driven pipelines that prepare fragmented source data for analytics and machine learning. The focus is scalable SQL, efficient columnar processing, orchestration, dynamic caching, and reliable downstream datasets.

  • BigQuery
  • DuckDB
  • Polars
  • Apache Spark
  • PostgreSQL
  • Redis
  • Firebase
  • Microsoft SQL Server
  • Amazon Redshift
  • Apache Airflow
07 TECH DOMAIN

MLOps & Developer Infrastructure

I use version control, build automation, experiment tracking, and API-serving patterns to make models repeatable and maintainable beyond experimentation. The goal is a practical path from a working model to a documented, testable component that can be deployed and monitored.

  • Docker
  • MLflow
  • Jenkins
  • GitHub Actions
  • FastAPI
  • GitHub
08 TECH DOMAIN

Cloud & Managed Platforms

I work across managed GCP, AWS, and Azure services for analytics, data processing, model delivery, and event-triggered workloads. Platform choices are shaped by the existing architecture, operational constraints, and where the data already lives.

  • Google Cloud
  • Vertex AI
  • Vertex AI Model Garden
  • Mimo Claw
  • Google Kubernetes Engine
  • Cloud Dataproc
  • Cloud Dataflow
  • Amazon SageMaker
  • AWS Lambda
  • Microsoft Azure
09 TECH DOMAIN

Analytics, CDP & Activation

I connect behavioral, app, campaign, survey, and customer data to support audience design, personalization, activation, and measurement. In a 2023 BCA audience-segmentation POC, campaign outcomes included YouTube mortgage CPM −6% and Meta KPR landing-page views +7%; those were campaign-level results, not effects attributable to one tool.

  • Google Analytics 4
  • AppsFlyer
  • Mixpanel
  • Meiro CDP
  • Qualtrics
  • MoEngage
10 TECH DOMAIN

Frontend & Portfolio Engineering

I use Astro with TypeScript, React, and Tailwind CSS to build a fast portfolio and technical interfaces without unnecessary client-side overhead. Components are organized for maintainability, responsive layouts, and compatibility with the site’s shared light/dark theme.

  • Astro
  • React
  • TypeScript
  • Tailwind CSS
  • HTML5
  • CSS3
  • Git

"My technical foundation spans the complete data lifecycle from raw ETL ingestion and cloud data warehousing to deep learning model deployment and intuitive web interfaces. Certified by both Google and AWS in AI/Machine Learning and Cloud Architecture, I bring validated enterprise expertise to every layer of the modern tech stack. I thrive in complex environments that demand rigorous problem-solving, clean code architecture, and rapid end-to-end execution."

Let's Connect : Accelerate your team's engineering roadmap and delivery milestones.

Why Work With a Solo Expert?

Agencies sell you a senior, then staff your project with juniors. I don't. Every line of code, every model architecture, every production deployment will be done by me.

Zero Communication Overhead

No account managers, no ticket systems. You talk to the builder directly.

Faster Time-to-Value

No onboarding ramp, no knowledge transfer gaps. I ship in weeks, not quarters.

Production-First Mindset

Models that don't deploy are worthless. Every deliverable is production-ready with CI/CD, monitoring, and documentation.

Cross-Industry Pattern Recognition

10+ industries mean I've likely solved your problem before - in a different domain.

Engagement Process

01

Discovery Call

30-min call to understand your problem, data landscape, and success metrics.

02

Technical Scoping

I deliver a concrete plan: architecture, timeline, deliverables, and KPIs.

03

Iterative Delivery

Weekly demos, transparent progress, no black boxes. You see everything.

04

Production Deploy

CI/CD pipeline, monitoring dashboards, documentation, and team handoff.

What Colleagues & Clients Say

Verified LinkedIn recommendations from direct managers, reports, and cross-functional partners.

I had the privilege of discovering Aryanto through LinkedIn and bringing him on board as one of our early data science team members back in 2022. I was impressed with the work he has done and demonstrated to me over a casual video call, and the rest is history! I find Aryanto kind-hearted, determined in problem-solving, and most importantly, trustworthy.
AR

Arshad Rahman

Co-Founder at Pranas | Business Advisor

"Ary is not only an experienced data scientist, but also a hard worker, responsive, and respective leader. Even though he is on a remote working arrangement, you can always contact him anytime and he will respond promptly as well as deliver the work on time. Any company will be very lucky to have him as one of their data science team."

KH

Kurniawan Hakim

Data and CRM Leader | Merkle Inc.

"He has been my direct report for the last 2 years. Aryanto consistently delivered remarkable performance. He is very instrumental in current team - image analytics, deep learning, data pipeline integration and forecasting projects which contributed a lot to improving business process."

SS

Dr. Sankar Sree Ph.D

Chief AI & Data Scientist | Sinarmas Asia Pulp & Paper

"Aryanto is an exceptional leader and mentor who has significantly influenced my professional growth as a data scientist. His code is not only highly efficient but also meticulously organized, serving as a benchmark for best practices. His profound understanding of data science and machine learning, combined with extensive experience across diverse industries, enables him to provide innovative and practical solutions."

NH

Nila Wildanul Husna

Senior Data Scientist | Dentsu

"Aryanto was a key member of our survey team. Starting from almost scratch, he designed and developed our internal data management system and tools, updated it, optimized it. He will always find a solution - I have never heard him say 'it can't be done'. Give him space and he will develop himself and your organisation to great professional levels."

EB

Erwin Brouwer

Program Manager, Sustainability & Agribusiness | Electric Vine Industries

"I had the pleasure of working with Aryanto at Merkle Indonesia and was consistently impressed by his ability to transform complex data into actionable insights. What truly sets Aryanto apart is his ability to foster a culture of collaboration and innovation. He would be a tremendous asset to any organization."

SU

Sandi Utomo

Business, Product, Data & Technology Solutions | Dentsu

"I've been working with Ary for almost 1 year. Ary has strong knowledge and skills in advanced data analytics, especially ML/AI. His ability in the data contributes a lot on defining and executing the right analysis to solve the client's problem. He is the main brain in most projects related to advanced analytics and ML/AI."

HY

Herwina Eva Yulitasari

Sr. Tech Project Manager | Merkle Inc.

"I worked with Aryanto on various reporting initiatives. I found Aryanto to be very professional, helpful, and detail-oriented. He is a hard-worker who is willing to go the extra mile to help the team. He needs very little direction and is motivated to solve problems creatively in an independent manner."

CW

Carson Whisler

Product Management & Business Operations | Lucky Bundle

"As the lead of Data Scientist, his skill in data analysis, machine learning, and team leadership consistently delivers impactful solutions. Aryanto is a strategic thinker who bridges technical expertise with business goals, making him an invaluable asset to any organization."

YB

Yandra Budianto

CX Solutions Architect | Dentsu CXM

"Aryanto is a brilliant Data Scientist, we worked on Sinarmas Forestry Projects where we were tasked to create Machine Learning model to predict Forestry plantations. At beginning I was know nothing about Geospatial image, but he assisted me so that we managed to finish the project altogether."

BA

Benedictus Aryo

AI Platform Engineer Lead | CIMB Niaga

View all 20+ recommendations on LinkedIn

Industries I've Delivered In

Automotive Telecommunications Banking & Finance Insurance E-commerce Forestry & Agriculture FMCG Supply Chain Education Healthcare

Frequently Asked Questions

Straight answers for serious buyers.

What engagement models do you offer?

I operate as an independent contractor for project-based engagements, fractional consulting (part-time strategic advisory), and full-time strategic hires. No agency overhead - you work directly with me, the person writing the code and building the models.

How do you measure ROI on data science projects?

Every engagement starts with clearly defined business KPIs - CTR lift, conversion rate improvement, automation hours saved, latency reduction, or direct revenue attribution. I don't build models that sit on a shelf. Production deployment and measurable impact are non-negotiable.

What's your typical project timeline?

MVP/proof-of-concept: 2-4 weeks. Full production deployment with MLOps: 6-12 weeks. I work in tight iteration cycles with weekly deliverables - no black boxes, no 6-month disappearing acts.

Do you work remotely?

Yes. I've delivered projects across Asia, the Middle East, and Europe entirely remote. As my clients confirm: "You can always contact him anytime and he will respond promptly as well as deliver the work on time." UTC+9 base, flexible across time zones.

Can you integrate with our existing data infrastructure?

Absolutely. I've worked with GCP (BigQuery, Vertex AI), AWS (SageMaker, Redshift), on-prem SQL Server, PostgreSQL, and various data lake architectures. I adapt to your stack - not the other way around.

What industries have you worked in?

Automotive, telecommunications, banking, insurance, e-commerce, forestry, FMCG, supply chain, education, and healthcare. The underlying data science principles are universal - I bring cross-industry pattern recognition that single-domain practitioners miss.

Let's Turn Your Vision Into High-Impact, Production-Ready Reality.

Whether you need scalable data pipelines, custom recommendation models, or full MLOps infrastructure, let’s sit down to diagnose your core challenges and design a system built for real business impact.

Contact Me View GitHub Read My Blog

Reach me at Contact page - responds within 4 hours (UTC+9)