Vitaliy Sharandin

An experienced software engineer with a strong background in NLP and time-series analysis, poised for a transition into data science with an emphasis on generative AI. Demonstrated expertise in leading machine learning projects, including an innovative Azure-based anomaly detection system, as well as numerous personal endeavors. This background has fostered a deep ability to extract significant insights from data, develop advanced ML models as well as create software infrastructure required for production model deployment. Eager to employ technological know-how, along with collaborative prowess and innovative problem-solving, to guide the generative AI sector towards responsible and ethical directions, enhancing its positive contributions to society and industry.

Portfolio link

https://bit.ly/vitaliy-sharandin-portfolio

Overview

• LLM RAG and Web Agent Azure Cloud Full Deployment
• Video Translation with Speech Diarization and Voice Cloning
• LLM training with quantization and PEFT
• Energy Demand Based on Weather
• AI Risks Analysis
• Global Pollution and Temperature Phenomena Influence on Krakow City
• Fraud Detection

Machine Learning Frameworks & Tools
LLM Agents  
RAG  
vLLM  
LangChain / LangGraph  
LlamaIndex  
ChromaDb  
Optuna  
scikit-learn  
PyTorch  
MlFlow  
WandB 

Data Science

Pandas   

Seaborn   

Time-series forecasting   

Data analysis and feature engineering

Cloud

Azure Cloud ML Deployments   

AWS Cloud ML Deployments   

Databricks

Programming Languages & Frameworks
Python  
Java & Spring stack

Development Utilities

UV package manager   

Ruff lint/format

Azure Devops

Github Actions

DeepLearning.AI LLM Agents, RAG Courses