Yuliia K.
Verified expert
Yuliia K.
Verified expert
Top skills
Meet Yuliia β¨
An AI/ML Engineer and Back-End Developer with three years of experience designing scalable data-driven systems, multi-agent platforms and LLM-powered conversational solutions. Yuliia specializes in building production-ready REST APIs with FastAPI, integrating SQL and NoSQL databases and implementing asynchronous back-end architectures. She works confidently with machine learning models, prompt engineering and cloud deployments on AWS using Docker.
She has delivered complex AI systems including RAG-based voice assistants, LLM-integrated CRM automation and computer vision pipelines for human detection and face recognition. Yuliia designs embedding-based similarity search, implements vector databases and builds intelligent conversation flows that operate reliably in real-world environments. Her work combines backend engineering discipline with practical AI model integration.
Yuliia approaches engineering with analytical thinking, structured execution and strong ownership. She focuses on building solutions that are not only technically sound but also scalable and maintainable in production.
If you are building AI-driven products and need someone who can combine backend architecture with real-world machine learning implementation, Yuliia brings the technical depth and reliability your team can depend on π
Download the CVHard skills
Python
FastAPI
Pydantic
Async Programming
REST API
RAG Pipelines
LLM Integration
Prompt Engineering
Vector Search
pgvector
Embedding Systems
Machine Learning
Deep Learning
Computer Vision
YOLO
DeepSORT
Face Recognition
TensorFlow
PyTorch
Scikit Learn
SQLAlchemy
PostgreSQL
MySQL
Redis
Docker
AWS
S3
Unit Testing
Tools
FastAPI
LangChain
LlamaIndex
OpenAI GPT
Whisper
Sentence Transformers
AWS Bedrock
Groq API
Docker Compose
Git
GitHub
GitLab
PyCharm
VS Studio
Pytest
Mock
Soft skills
Analytical thinking
Problem solving
Attention to detail
Ownership
Adaptability
Communication
Teamwork
Fast learning
Structured mindset
AI Voice Verification Assistant
AI/ML Engineer
Project Description:
Developed an AI powered outbound calling system that verifies employment status using intelligent voice interaction. Implemented RAG pipelines, embedding based similarity search and LLM driven conversation logic to improve call accuracy and reliability.
Tools & Technologies:
Python, FastAPI, Pydantic, Asyncio, Groq API, AWS Bedrock, Sentence Transformers, pgvector, RAG
Hotel Security System
AI/ML Engineer
Project Description:
Designed AI models for human detection, tracking and re identification across surveillance cameras. Implemented face recognition systems and optimized deep learning pipelines for real time video analytics.
Tools & Technologies:
Python, PyTorch, TensorFlow, YOLO, DeepSORT, CNN, FaceNet, Vector databases
Voice Receptionist
Back-End Developer
Project Description:
Built backend services for a voice bot receptionist handling appointment booking and document processing. Designed CRM integration, scalable S3 based document workflows and LLM integrated automation tools.
Tools & Technologies:
Python, FastAPI, Pydantic, Asyncio, Whisper, OpenAI GPT-4 Mini, S3, GoHighLevel, RAG, Embeddings
University of Bamberg
Bachelorβs Degree in Applied Computer Science
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