AI/ML Developer | LLM & Multi-Agent Systems Specialist

Machine Learning & Deep Learning
Expertise in building and training machine learning and deep learning models using PyTorch and TensorFlow. Participation in Kaggle competitions with a Top 6 global ranking, applying feature engineering and advanced model techniques.

LLM & AI Agent Development
Extensive experience in building AI agents, multi-agent systems, and LLM-based applications using frameworks such as LangChain, DeepSeek, Groq, and OpenAI APIs. Development of conversational and automation agents as well as agent orchestration systems.

Python & TypeScript Development
Strong programming skills in Python and TypeScript for developing AI/ML pipelines, automation systems, and backend solutions. Proficient use of data science libraries such as Pandas and NumPy.

Document AI & OCR
Knowledge in document AI using Tesseract, trOCR, and OCR pipelines for automated text extraction and processing from documents.

Docker & DevOps Tools
Practical experience with Docker for containerization of applications, as well as use of Git, Linux, and VS Code as core development tools.

SQL & Data Management
Proficiency in SQL for data querying and management, combined with data science tools such as Pandas and NumPy for data analysis and preparation.

Blockchain & Solana Development
Experience in building multi-agent arbitrage systems on the Solana blockchain using Python and Jito, as demonstrated in the SwarmSol project.

Hugging Face & Model Deployment
Familiarity with Hugging Face for accessing and deploying pre-trained models, enabling rapid integration of state-of-the-art NLP and vision models into applications.