Serhii Muzyka
Lviv, Ukraine
Serhii Muzyka
Production-Grade AI Agents & Fault-Tolerant Python
Category : Artificial intelligence (AI)
Overview
I build AI-powered systems and backend architectures designed for reliability and scale. My approach focuses on "The Last Mile"—moving beyond simple AI prototypes into production-ready tools that handle real-world data, exceptions, and high-concurrency environments.
What I Solve for You:
Advanced RAG Pipelines: Implementing Retrieval-Augmented Generation that actually works. I use FAISS and LangChain to build context-aware systems with long-term memory that don't lose the plot in multi-turn conversations.
Agentic Workflows: Developing ReAct-style agents capable of autonomous tool selection (search, API calls, database execution) using FastAPI and LangGraph.
Mission-Critical Backends: Drawing from my experience in industrial IoT (monitoring 100+ sensors and cameras), I build async Python services that are fault-isolated and highly resilient.
Human-in-the-Loop (HITL) Automation: Creating systems that automate 90% of a workflow while providing a clean interface for human oversight.
Technical Expertise:
Languages/Frameworks: Python (Async), FastAPI, Flask, LangChain, SQLAlchemy.
AI/LLM: RAG, Vector Databases (FAISS), Agent Orchestration, Prompt Engineering.
Infrastructure: Docker, Prometheus, Grafana (Real-time monitoring & observability), PostgreSQL.
I prefer high-autonomy, milestone-based projects. I provide clean, documented code and a "think-before-build" mindset to ensure we don't just solve the task, but improve the system. Available for short-term sprints (2-6 weeks) or project-based milestones. Open to direct negotiation and Cryptocurrency payments.
I build AI-powered systems and backend architectures designed for reliability and scale. My approach focuses on "The Last Mile"—moving beyond simple AI prototypes into production-ready tools that handle real-world data, exceptions, and high-concurrency environments.
What I Solve for You:
Advanced RAG Pipelines: Implementing Retrieval-Augmented Generation that actually works. I use FAISS and LangChain to build context-aware systems with long-term memory that don't lose the plot in multi-turn conversations.
Agentic Workflows: Developing ReAct-style agents capable of autonomous tool selection (search, API calls, database execution) using FastAPI and LangGraph.
Mission-Critical Backends: Drawing from my experience in industrial IoT (monitoring 100+ sensors and cameras), I build async Python services that are fault-isolated and highly resilient.
Human-in-the-Loop (HITL) Automation: Creating systems that automate 90% of a workflow while providing a clean interface for human oversight.
Technical Expertise:
Languages/Frameworks: Python (Async), FastAPI, Flask, LangChain, SQLAlchemy.
AI/LLM: RAG, Vector Databases (FAISS), Agent Orchestration, Prompt Engineering.
Infrastructure: Docker, Prometheus, Grafana (Real-time monitoring & observability), PostgreSQL.
I prefer high-autonomy, milestone-based projects. I provide clean, documented code and a "think-before-build" mindset to ensure we don't just solve the task, but improve the system. Available for short-term sprints (2-6 weeks) or project-based milestones. Open to direct negotiation and Cryptocurrency payments.
Working hours
- Monday:10h00 To 22h00
- 14h00 To 17h00
- Tuesday:10h00 To 22h00
- 14h00 To 17h00
- Wednesday:10h00 To 22h00
- 14h00 To 17h00
- Thursday:10h00 To 22h00
- 14h00 To 17h00
- Friday:10h00 To 22h00
- 14h00 To 17h00
- Saturday:Not available
- Sunday:Not available
![Custom Tool Development for Autonomous Agents]()
Engineering of functional toolsets for LLM-based agents (utilizing LangChain or LangGraph frameworks). I build custom API integrations that enable agents to interact with external business systems, ...![Industrial Data Ingestion and Observability Pipelines]()
Development of robust data ingestion infrastructure for industrial IoT and sensor networks. I specialize in building fault-isolated, asynchronous Python services that capture and normalize ...![Implementation of RAG Systems and Contextual Logic]()
Engineering of Retrieval-Augmented Generation (RAG) architectures for processing proprietary business data. I implement vector databases (FAISS) and semantic search pipelines to facilitate accurate ...
Focused on extreme productivity gains, this project involved designing a Human-in-the-Loop (HITL) pipeline that leverages LLMs to automate 90% of the research and synthesis process for high-velocity data environments. I developed custom browser-based scripts for real-time data extraction from curated news sources and applied strategic prompt engineering to transform raw data into structured outputs. The resulting system successfully reduced manual labor from several hours to just 15 minutes per day, demonstrating a clear focus on building ROI-positive automation tools for high-autonomy environments.
I engineered a sophisticated AI framework built on ReAct-style reasoning agents capable of autonomous tool selection and execution. The system features a modular ecosystem that integrates web search, translation, and memory retrieval via LangChain and FastAPI. To support complex, multi-turn business logic, I implemented a Retrieval-Augmented Generation (RAG) pipeline using FAISS for long-term memory. The architecture utilizes an asynchronous backend to handle intensive LLM processing chains, ensuring a responsive user experience during long-running autonomous tasks.
This project involved architecting a mission-critical monitoring ecosystem for a manufacturing facility, integrating over 100 sensors and 10 camera feeds into a real-time fault detection system. I developed a high-performance Flask-based dashboard for equipment tracking and engineered the backend using a fault-isolated, asynchronous service model. By leveraging Docker, Prometheus, and Grafana, I ensured the system maintained high observability and resilience, capable of managing complex industrial data streams with zero-downtime requirements.
- 🇬🇧 English
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