AI Engineer building LLM agents, RAG pipelines and voice AI that run in production, not in demos. Python, FastAPI, LangChain, LangGraph, React, AWS.
WHAT I BUILD:
🤖 AI agents and multi-agent workflows
Agents that reason, plan, hold memory and run multi-step tasks through tool calling. Built with LangChain and LangGraph on OpenAI, Claude and Gemini APIs. Every tool call is typed, logged and reversible, so you can see what the agent did and why it did it.
📚 RAG pipelines and knowledge retrieval
Retrieval-augmented generation over your internal data: chunking strategy, embeddings, metadata filtering, hybrid search and reranking. Vector databases including Pinecone, Qdrant, Weaviate and pgvector. Answers come with citations, so your team can verify instead of trusting.
🎙️ Voice AI and conversational systems
Low-latency STT to LLM to TTS pipelines on Twilio, with interruption handling, barge-in and backend-controlled dialogue logic. Also assistant integrations across Alexa, Google Home and Cortana.
📄 Document processing and data extraction
OCR, parsing and structured extraction from PDFs, contracts, invoices and forms. The hard part is never the model call, it is handling output that is 90% right.
⚡ AI workflow automation
Zapier, Make and n8n connected to real business systems: Slack, Salesforce, HubSpot, Microsoft Graph, Google Workspace, Twilio. OAuth, webhooks, rate limits, retries and sync state, built to survive the day the API changes.
⚙️ Backend engineering and data pipelines
Python, FastAPI, Django, Node.js and TypeScript. PostgreSQL, MongoDB and SQL. Real-time, streaming and event-driven data pipeline architecture for analytics and AI-powered applications.
💻 Frontend
React and TypeScript. Chat interfaces with streaming, tool states, history and multi-user state. Dashboards, admin panels and reporting UI.
☁️ Cloud, scaling and multi-tenant SaaS
AWS including Lambda, ECS and Bedrock, plus GCP and Azure. Docker, Kubernetes, CI/CD, monitoring and autoscaling. Multi-tenant architecture with authentication, roles, permissions and audit logging.
INDUSTRIES
FinTech, PropTech and real estate, marketplaces, MarTech, healthcare, EdTech, logistics and B2B SaaS.
SELECTED PROJECTS
⚖️ Regulatory monitoring and summarization Automated tracking of regulatory updates with clear summaries, cutting manual review time for a compliance team.
Yaroslav T. earns an estimated $6.9k/mo. That's 4.7× the typical freelancer and more than 99.72% of everyone we track.
👥 Persona simulation
Turned Reddit discussions into interactive synthetic personas for marketing research and audience insight.
✍️ Centefuse AI, content generation
MVP platform for automated social media content and scheduling, built for high-quality output with minimal client effort.
♻️ Waste classification app
Mobile AI for classifying waste and estimating quantities, no dedicated hardware required.
🎬 AI script generator
Generative AI for screenwriters to structure stories and draft scripts faster without flattening the writing.
HOW I WORK:
Regular written updates in plain English, no vendor jargon. I look at a requirement and work out the right approach instead of wiring an API and calling it done. If an LLM is the wrong tool for part of your problem, I will say so before you pay for it.
Send me what you are building and what is currently breaking, and I will tell you whether it is a two-week fix or a rebuild.