You will get a Python automation script with API integration
Rising Talent
Project details
Spending hours on repetitive tasks — copy-paste between spreadsheets, manual API calls, weekly exports? I automate it.
I build Python automation: API integrations, ETL pipelines, scheduled jobs, webhook receivers, and bot workflows. Same reliability approach behind my scraping and trading projects — logged, documented, and ready to hand off.
What you receive:
• Clean Python 3 code
• requirements.txt + README
• Error handling and logging
• Bug-fix support on delivered scope
Common jobs: connect two APIs, CSV/Excel processing, scheduled sync, Telegram/Slack bots, fix or extend an existing script.
Message a short description of the manual process before ordering — I'll confirm the right tier.
I build Python automation: API integrations, ETL pipelines, scheduled jobs, webhook receivers, and bot workflows. Same reliability approach behind my scraping and trading projects — logged, documented, and ready to hand off.
What you receive:
• Clean Python 3 code
• requirements.txt + README
• Error handling and logging
• Bug-fix support on delivered scope
Common jobs: connect two APIs, CSV/Excel processing, scheduled sync, Telegram/Slack bots, fix or extend an existing script.
Message a short description of the manual process before ordering — I'll confirm the right tier.
What's included
| Service Tiers |
Starter
$100
|
Standard
$150
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 10 days |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Install Script | |||
Test Script | |||
Task Automation |
Frequently asked questions
About Leo
AI Agents, n8n & Scraping | LangGraph, Make, Playwright
Ho Chi Minh City, Vietnam - 8:26 pm local time
I focus on AI agents / RAG, n8n & Make workflows, Playwright scraping, and high-scale trading infra. If you need a domain chatbot with real citations, webhook → AI → Sheets/Slack/CRM, scrapers that survive site updates, or CEX-grade realtime + matching, that's what I build.
Past work includes:
- AI agent / RAG: LangGraph + FastAPI domain Q&A (securities law) — Vertex Gemini with search grounding, citation verification against source docs, streaming chat, audit trail
- n8n / Make (and Zapier when needed): webhook & API triggers, OpenAI classify/summarize, Google Sheets / Slack / Telegram / CRM routing — custom code nodes when templates aren't enough
- High-scale CEX backend: WebSocket gateway ~100k concurrent connections per instance; matching engine ~200k TPS per pair with L1/L2 cache; post-processing pipeline to DBs ~50k TPS per instance (Kafka/Redis async, without blocking the match path)
- Playwright scrapers & crawl pipelines: healthcare directories, large catalogs (ADAC), Google Maps / store photos, login/anti-bot → JSON/CSV/Sheets/API
- Trade copiers (MT5/MT4, prop firms), TradingView → Binance/broker webhooks, MT5 EAs & cTrader bridges; Solana / EVM when on-chain execution is needed
Stack: Python, Java / Spring Boot, LangGraph, FastAPI, Vertex AI / OpenAI, n8n, Make, Playwright, Node.js, Kafka, Redis, MQL5, PostgreSQL, AWS, Docker
What you get: clear scope, full source (or exportable n8n/Make scenario), logging & recovery, and a short demo when the job is specific. I build infrastructure — not trading strategies or profit guarantees. For domain AI: grounded answers + verified citations, not chatbot demos that invent sources.
Message me your project — I'll outline approach, timeline, and whether LangGraph, n8n/Make, Playwright, or a high-throughput backend fits best.
Steps for completing your project
After purchasing the project, send requirements so Leo can start the project.
Delivery time starts when Leo receives requirements from you.
Leo works on your project following the steps below.
Revisions may occur after the delivery date.
Clarify scope then build and hand off
Confirm inputs/outputs, implement the Python script or small service, test, then deliver code + README.