You will get AI Solution with GPT, Automation & API Integration
Rising Talent
Project details
You will get a fully customized AI solution powered by GPT-4, tailored automation workflows, and clean Python code – built by senior-level AI engineers. We specialize in OpenAI, ChatGPT, prompt engineering, and smart API integrations to streamline your operations, automate tasks, and boost productivity. Whether you're building a chatbot, data analysis pipeline, or internal AI tool, we deliver scalable and production-ready results. With years of experience in AI development, machine learning, and Python backend engineering, we ensure high-quality deliverables that are robust, secure, and future-proof.
Machine Learning Tools
Azure Machine Learning, ChatGPT, Databricks Platform, GitHub Copilot, Google AutoML, GPT-3, H2O, Keras, Kubeflow, MLflow, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, Scrapy, SQL, Tableau, TensorFlow, TextBlob, Vertex AIWhat's included
| Service Tiers |
Starter
$249
|
Standard
$499
|
Advanced
$949
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 15 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 5 |
Number of Graphs/Charts | 1 | 3 | 5 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
Frequently asked questions
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OE
Olga E.
Jan 12, 2026
30 minute consultation
OE
Olga E.
Jan 8, 2026
You will get a custom AI chatbot with RAG & knowledge base integration
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Olga E.
Jan 5, 2026
AI Powered Data Analytics Automation with Python and Smart AI Integration
Really enjoyed working together. Easy communication, good judgment, and a calm, reliable approach throughout
OE
Olga E.
Dec 29, 2025
AI Integration Specialist | Python, Machine Learning, Data Analytics & Chatbots
Great experience working together. Professional, communicative, and technically strong
OE
Olga E.
Nov 21, 2025
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About Ilya
Claude Code Engineer - Business Automation with 7 Day Payback
Buenos Aires, Argentina - 6:29 pm local time
the full project cost within 7 days — by replacing 1-3 SaaS subscriptions,
eliminating 10-40 hours/week of manual work, or both.
Most of my clients are operations leads, founders, and regulated-industry teams
who hit a wall with hosted tools (ChatGPT Team, Claude for Work, Microsoft
Copilot, Zapier, Make) on data residency, custom integrations, or escalating
per-seat costs. I deploy self-hosted Claude Code on their infrastructure — VPS,
on-prem servers, or Mac Mini — with full audit trails, zero SaaS dependency,
and direct integration into Slack, Gmail, Notion, HubSpot, Salesforce, and
custom systems.
— RECENT RESULTS —
- Replaced 3 SaaS subscriptions ($890/month) with a single Claude Code
RAG assistant — paid back in 9 days, ongoing savings $10.6K/year
- Cut a client's reporting cycle from 4 days to under 2 hours with a
Claude Code analytics pipeline piped into Slack and Notion
- Built a 12-agent customer intelligence platform on Claude Code that
lifted retention 43% and processes 500K+ customer profiles per hour
- Deployed autonomous Claude Code agents for a hedge fund processing
2M+ market signals daily — 34% higher returns, 90% less human oversight
- NLP document processing on Claude Code that cut manual review
workloads by 50% for legal and operations teams
- Credit scoring models that drove default rates below 0.1%, holding
through full economic cycles
- AI treatment recommendation engine with HIPAA-grade audit logging
for a healthtech provider
— WHY MOST SELF-HOSTED CLAUDE CODE SETUPS FAIL —
Most setups I inherit have the same problems: API keys in plaintext configs,
gateways exposed to the public internet, agents running as root, no skill
auditing, no human-in-the-loop, no documentation when something breaks at
2 AM. I rebuild that foundation first, then layer automation and integrations
on infrastructure that holds up under audit.
— WHAT YOU GET —
- Self-hosted Claude Code deployment on VPS, on-prem, or Mac Mini
- Zero public gateway exposure (Tailscale, WireGuard, Cloudflare Tunnel, mTLS)
- Secrets management for Anthropic, OpenAI, Gemini API keys with rotation policies
- Non-root Docker containers, read-only workspaces, scoped tool permissions
- Compliance-ready posture: HIPAA, GDPR, SOC 2 — RBAC, audit logs,
human-in-the-loop on destructive actions
- Native integrations: Slack, Teams, Gmail, Outlook, Google Calendar, Drive,
Notion, Asana, Salesforce, HubSpot, plus custom systems via API and MCP
- Cron-driven daily briefs, weekly reports, multi-source monitoring
- Full handover package: user manual for non-technical operators, security
checklist, reference architecture diagram
— STACK —
Claude Code, Anthropic Claude API, Model Context Protocol (MCP), OpenAI API,
Google Gemini, Python, TensorFlow, PyTorch, Docker, Kubernetes, Linux, AWS,
GCP, Tailscale, WireGuard, Cloudflare Tunnel, REST APIs, webhooks.
— HOW TO START —
Send a short message with: (1) your current setup, (2) the workflow you want
automated, (3) any compliance constraints. I'll reply within 4 hours with a
concrete scope, timeline, and the 7-day payback math for your specific case.
Steps for completing your project
After purchasing the project, send requirements so Ilya can start the project.
Delivery time starts when Ilya receives requirements from you.
Ilya works on your project following the steps below.
Revisions may occur after the delivery date.
Client purchases the AI automation project and submits initial requirements
Client shares the use case, goals, OpenAI API key (if available), and any files or examples to define the scope of the GPT-based AI solution.
Scope review and project planning
We analyze your requirements, clarify technical needs (e.g. API integrations, automation flow), and finalize the approach for your AI solution.