I Build ML Systems
That Ship & Scale.
Aryanto, M.Si - Solo Sr Data Scientist & AI Architect Engineer. 9+ years building production-grade AI across 10+ industries. No agency fluff. No junior handoffs. Direct access to the person writing the code.
# 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
)
# Results
# ├─ CTR: +18.4%
# ├─ Latency: 45ms p99
# └─ Revenue: +$2.1M ARR
- Years in Production
- 9+
- Building & deploying ML systems
- Industries Served
- 10+
- Cross-domain pattern recognition
- Team Members Mentored
- 15+
- Growing data science capability
- LinkedIn Recommendations
- 20+
- Verified professional endorsements
Tech Arsenal
Production-grade tooling across the full ML lifecycle from data ingestion to deployed model monitoring.
High-Performance Computing
Memory-efficient, production-scale data processing
MLOps & Cloud
End-to-end automated ML pipelines with event triggers
Recommendation & Personalization
Direct revenue uplift through intelligent targeting
Computer Vision
Industrial-grade object detection & image analytics
NLP & Conversational AI
24/7 autonomous agents & automated feedback loops
Data Engineering
Scalable infrastructure that powers ML at scale
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 — 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
Discovery Call
30-min call to understand your problem, data landscape, and success metrics.
Technical Scoping
I deliver a concrete plan: architecture, timeline, deliverables, and KPIs.
Iterative Delivery
Weekly demos, transparent progress, no black boxes. You see everything.
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."
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."
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."
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."
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."
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."
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."
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."
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."
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."
Benedictus Aryo
AI Platform Engineer Lead | CIMB Niaga
Industries I've Delivered In
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.
Ready to Build Something That Ships?
Whether you need a recommendation engine, a computer vision pipeline, or a full MLOps infrastructure — let's talk about your specific problem and what a solution looks like.
aryanto.dandan@gmail.com · Typically responds within 4 hours (UTC+9)