Dzmitri Huliuk
Wrocław, Poland
Dzmitri Huliuk
Senior Full-Stack & AI/ML Engineer
Category : Computer assistance
I am a Senior Software Engineer with over 9 years of experience across full-stack development, AI/ML systems, and cloud infrastructure — delivering scalable, production-grade solutions for startups and enterprises.
My expertise includes:
Full-Stack Development: React, Next.js, TypeScript, Python (FastAPI, Django), Node.js, and PostgreSQL.
AI & LLM Integration: Building RAG systems with LangChain, OpenAI, and Claude; fine-tuning LLMs with LoRA; designing evaluation pipelines.
Cloud & DevOps: AWS (EC2, EKS, S3, Lambda), Docker, Kubernetes, Terraform, and CI/CD pipelines.
End-to-End Ownership: From architecture and development to deployment, monitoring, and iteration.
I help clients turn complex ideas into reliable, scalable products — whether it's an AI-powered platform, a full-stack web application, or a cloud-native infrastructure. I bring a product mindset, technical depth, and a commitment to clean, maintainable code that drives business outcomes.
My expertise includes:
Full-Stack Development: React, Next.js, TypeScript, Python (FastAPI, Django), Node.js, and PostgreSQL.
AI & LLM Integration: Building RAG systems with LangChain, OpenAI, and Claude; fine-tuning LLMs with LoRA; designing evaluation pipelines.
Cloud & DevOps: AWS (EC2, EKS, S3, Lambda), Docker, Kubernetes, Terraform, and CI/CD pipelines.
End-to-End Ownership: From architecture and development to deployment, monitoring, and iteration.
I help clients turn complex ideas into reliable, scalable products — whether it's an AI-powered platform, a full-stack web application, or a cloud-native infrastructure. I bring a product mindset, technical depth, and a commitment to clean, maintainable code that drives business outcomes.
Working hours
- Monday:08h00 To 18h00
- Tuesday:08h00 To 18h00
- Wednesday:08h00 To 18h00
- Thursday:08h00 To 18h00
- Friday:08h00 To 18h00
- Saturday:Not available
- Sunday:Not available
Built and maintained production RAG systems using LangChain, OpenAI, and Claude APIs. Designed multi-step retrieval pipelines with vector databases (ChromaDB, pgvector), implemented tool calling and relevance thresholds, and fine-tuned LLMs with LoRA improving accuracy from 78% to 92%. Deployed containerized services on AWS with Docker and Kubernetes, and set up monitoring with Grafana and Prometheus. Built React/Next.js dashboards and FastAPI backends for internal teams.
Maintained production inference pipelines for medical segmentation models. Built HIPAA‑compliant FastAPI microservices for clinical document classification using Hugging Face Transformers. Implemented queue‑based background job processing, designed dashboards for model performance monitoring, and worked with PyTorch and ONNX for model optimization.
Built computer vision models for content moderation and scene detection using OpenCV and YOLO. Deployed containerized microservices on Kubernetes, set up monitoring with Grafana and ELK Stack, and built video processing pipelines with FFmpeg and GStreamer.
Computer Science program covering software engineering, algorithms, data structures, database systems, and programming languages. Graduated with a Bachelor of Science degree.
- 🇬🇧 English
- 🇵🇱 Polish
Please sign in as a customer to give your feedback




