You will get a MVP Prototype (Ready-to-Demo Application)
Project details
You will get a well-scoped MVP based on lean startup principles that will instantly communicate your value proposition to your intended user. My project is special as it removes unnecessary complexity, focuses on traction and product-market fit over the underlying technology. The application will be functional enough for fruitful discussions, and set the foundation for future development.
Programming Languages
JavaScript, PythonCoding Expertise
DesignWhat's included
| Service Tiers |
Starter
$250
|
Standard
$500
|
Advanced
$750
|
|---|---|---|---|
| Delivery Time | 8 days | 12 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Design Customization | - | ||
Content Upload | - | - | |
Responsive Design | |||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$50About Tony
CTO, AI & Product Engineer | N8N Agent Automation | Google ML Trainer
Singapore, Singapore - 4:10 pm local time
I specialize in taking bold ideas from zero to one: turning abstract concepts and business hunches into working AI products and intelligent systems that solve real problems.
Whether you’re experimenting with an MVP, validating product-market fit, or exploring a new recommendation or prediction engine, I’ll help you build what matters—fast.
🔍 What I Do Best
1) Build MVPs That Actually Work: I’m obsessed with speed-to-value. From idea to deployable prototype, I use tools like N8N, Supabase, Relevance, Langchain, and custom AI pipelines to craft end-to-end working products—often within weeks, not months.
2) Zero-to-One AI Thinking: I help founders and small teams explore what’s technically possible, guiding them through the messy middle of figuring out whether a recommendation system, a predictive model, or a multi-agent AI workflow can actually work—and if not, I’ll suggest what will.
3) Translate Complexity into Clarity: One of my superpowers is helping non-technical founders and stakeholders make sense of tech. I break down concepts like vector databases, LLM prompt chaining, and real-time scraping into everyday language so you can make smart decisions without getting lost in jargon.
🧠 Notable Projects & Achievements
1) Built the World's First Facial-Based AI Personality Predictor: As CTO of a personality x sales startup, I engineered a novel system that predicts customer behavior and buying preferences from face images—raising conversion rates from 15% to 50% for financial advisors and sales professionals.
2) “Google for Leads” via Crew AI Agents: Created a unique multi-agent AI system that scans social media in real time, scores leads based on buyer intent, and triggers automatic outreach workflows.
3) Data Science Meets Marketing: In my past startups, I led user segmentation projects clustering over 500,000 user records using unsupervised learning, dramatically improving audience targeting and campaign ROI for a sports-tech platform and dating app.
4) Explore ML Facilitator (Google): Personally trained and certified over 1000 learners on machine learning fundamentals, covering both beginner and intermediate topics—making AI accessible to everyone, not just engineers.
5) Backend Engineering at Scale (Rakuten): Previously worked on high QPS services at Rakuten (up to 200k RPM) and was awarded Rakuten Certified Security Champion for secure-by-default systems thinking.
6) Startup Fundraising & Recognition: Raised over USD $250,000 for AI and tech ventures; part of Microsoft for Startups, Google for Startups, and Y Combinator Startup School alumni communities.
Why Choose Me?
As a CTO and product consultant, I specialize in translating complex specs into clear technical recommendations that drive results—whether it's AI, automation, or product strategy.
I’m the bridge between your business idea and the system that brings it to life—skilled at interpreting specs, identifying edge cases, and delivering smart, seamless solutions that value friction-less onboarding.
Clients count on me to take unclear requirements and return clarity, structure, and the right automation strategy to execute fast.
Steps for completing your project
After purchasing the project, send requirements so Tony can start the project.
Delivery time starts when Tony receives requirements from you.
Tony works on your project following the steps below.
Revisions may occur after the delivery date.
Understand and revise scope
Implement MVP prototype