Developed a customizable AI podcast chatbot using Pinecone, FAISS, and OpenAI models, implemented with Next.js and React. The bot enables dynamic, context-aware conversations and episode summaries, with the ability to specialize for specific podcasts.

Assisted in AI model training by refining large-scale datasets and crafting effective prompts and responses to boost model performance. Performed data validation and analysis to enhance the quality of AI-generated outputs.

● Developed smart contracts using frameworks such as Foundry and Truffle. These contracts undergo rigorous testing with comprehensive unit, integration tests, ensuring the overall quality of the project. ● Integrated Chainlink Automation, VRF, DataFeeds, and CCIP, for advanced functionality. ● Worked with token standards such as ERC20, ERC721, ERC721A, and ERC1155. ● Gained a deeper understanding of DeFi protocols, including Uniswap and Curve v1. Hands-on Projects: 1. Emotion Classifier App: ● Developed as my bachelor thesis, an app for text analysis, summarization, and result visualization. 2. Day Planner Android App: ● Designed an app for daily activity organization, integrating maps for travel visualization. 3. Anonymous Communication System: ● Built a secure messaging web app for anonymous communication. 4. Web Shop: ● Developed an e-commerce platform. Data Structures and Algorithms: ● Implemented various data structures and algorithms for performance optimization. 5. e-Kindergarten: ● Developed a desktop app for managing kindergarten operations. 6. Border Control Management System: ● Created different applications for managing border crossings, with real-time chat and file handling.

Portfolio Dashboard: ● Developed an interactive investments dashboard using Streamlit and Python to track and analyze cryptocurrency holdings. ● Integrated APIs (Kraken, Coinbase, and CoinGecko) for pricing and transaction data, and block explorers (Etherscan, Arbiscan, BaseScan, GnosisScan, CeloScan) for on-chain data enabling cross-platform portfolio tracking and real-time PnL insights. Metric Dashboard: ● Created a quantitative trading analysis tool to monitor financial metrics like Alpha and Beta using Python. ● The dashboard visualized key risks and return characteristics, integrated real-time market data, and historical performance to aid traders in optimizing strategies and making informed investment decisions. ● LinkedIn Intelligence: ● Developed AI-powered tools using OpenAI models to track high-level talent movement within the crypto and Web3 sectors. ● Automated analysis of LinkedIn data to detect trends in startup formation and job transitions, maintaining a dynamic database to monitor industry shifts.