You will get Custom AI Agent — Automate Any Workflow with LLMs
Rising Talent

Project details
I build AI agents that actually work in production — not demos. My agents handle tool calling, memory, API integrations, and complex multi-step workflows. I've built production SaaS with AI pipelines solo: CounselX (RAG + dual-layer verification) and TimeAtlas (200M row database). You get clean code, clear documentation, and a working agent — not a prototype that breaks on real data.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI-Generated Code, AIOps, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Gradio, Hugging Face, StreamlitAI Models
BERT, ChatGPT, GPT-4, LLaMA, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | ||
Model Documentation | - | ||
Model Monitoring | - | - | - |
Model Testing & Optimization | - | ||
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | - | - | - |
Source Code | - | - | - |
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Paul M.
Apr 5, 2026
iMessage server - Blue Bubbles
On time and on budget. Very good. I would hire again.
JA
John A.
Jun 7, 2025
Deploy Lightweight One-Liner AI Content Generator (Phi-2 or Similar) on RunPod
Very professional
About Ilya
AI Engineer | RAG Pipelines LLM Agents 200M-row Systems
100%
Job Success
Warsaw, Poland - 3:20 pm local time
TimeAtlas: 200M row database, 40GB search index, 700GB routing data via Valhalla. Every technical problem that came up, I solved.
CounselX: a full AI legal assistant built solo from scratch — contract generation, dual-layer verification across 50 sources, AES-256 encryption, production SaaS with paid tiers. Stack: Next.js 14, FastAPI, PostgreSQL, Qdrant, RAG pipeline, enterprise-grade infrastructure.
What I actually work with: Python, TypeScript, React, FastAPI, Docker, PostgreSQL, Redis, Manticore Search, Qdrant, LangChain, OpenAI, Claude, vector databases, WebSockets, Valhalla routing, geospatial data, n8n automation, VPS administration.
I don't need hand-holding. I need an interesting problem.
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 project and sends requirements
I analyze requirements and confirm technical approach within 24 hours