Tech Stack: Python (ML+), SQL, Scala, MLFlow | DS & AI: Machine Learning, Behavioral Analysis, AI Strategy, Hadoop, Spark, MLlib, HBase, Hive, Tableau, Grafana, Seaborn, Matplotlib, MySQL, PostgreSQL, MongoDB, AGI, LLM, Knowledge Graphs, AWS, Kubernetes, CI/CDPython, C++, SLAM, Simulink, Matlab

Expert’s cases:
𝑨𝑰 𝑨𝒈𝒆𝒏𝒕𝒔 & 𝑪𝒉𝒂𝒕-𝑩𝒐𝒕𝒔:
- 𝐂𝐡𝐚𝐭 𝐰𝐢𝐭𝐡 𝐘𝐨𝐮𝐫 𝐂𝐫𝐲𝐩𝐭𝐨 𝐖𝐚𝐥𝐥𝐞𝐭: Developed an AI chatbot integrated with blockchain and DeFi to streamline cryptocurrency operations.
- 𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐀𝐈 𝐂𝐫𝐚𝐰𝐥𝐞𝐫: Created a ReAct Agent for autonomous web data retrieval based on user requests.
- 𝐓𝐫𝐚𝐝𝐢𝐧𝐠 𝐁𝐨𝐭: Implemented an ML-driven bot predicting market trends using multi-source, multi-modal data.
- 𝐂𝐨𝐠𝐧𝐢𝐭𝐢𝐯𝐞 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭: Developed an AI bot that detects and mitigates cognitive biases in communications.

𝑵𝑳𝑷 𝑺𝒐𝒍𝒖𝒕𝒊𝒐𝒏𝒔 & 𝑹𝑨𝑮 𝑺𝒚𝒔𝒕𝒆𝒎𝒔:
- 𝐂𝐨𝐫𝐩𝐨𝐫𝐚𝐭𝐞 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐒𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐧𝐞𝐫: Built an LLM-based system with Web, Slack, and Telegram interfaces to convert internal documents into a searchable knowledge base, enhancing communication efficiency and reducing meetings.
- 𝐐𝐮𝐞𝐫𝐲-𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐞 𝐒𝐲𝐬𝐭𝐞𝐦: Developed a system processing multi-modal documents using advanced RAG and prompting techniques, OpenAI API, and frameworks like LangChain, LlamaIndex, and CrewAI for dynamic query handling.
- 𝑨𝒅𝒗𝒂𝒏𝒄𝒆𝒅 𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: Implemented systems to accelerate request processing and improve client satisfaction across multiple sectors.

𝑮𝒆𝒏𝒆𝒓𝒂𝒍 𝑨𝒄𝒉𝒊𝒆𝒗𝒆𝒎𝒆𝒏𝒕𝒔:
- 𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩: Founded and led a Data division from scratch, optimizing over 50 digital products and services, and managed a diverse team of 10+ members.
- 𝐔𝐬𝐞𝐫 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 & 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Leveraged neuroscience and behavioral analysis for a 150M+ user base. Developed digital avatars and in-depth client profiling, resulting in personalized marketing and AB-tested strategies generating over $20M in revenue.
- 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐀𝐝𝐯𝐞𝐫𝐭𝐢𝐬𝐢𝐧𝐠 & 𝐑𝐓𝐁: Improved outreach, CTR/CPC, and CR/CPA for top-tier clients like Procter & Gamble and Coca-Cola using ML and Big Data.
- 𝐄-𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐞 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐄𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭: Designed an advertising engine and enhanced customer segmentation, boosting sales and customer engagement.
- 𝐀𝐈 𝐄𝐭𝐡𝐢𝐜𝐬 & 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡: Directed AI research on AGI and cognitive architectures (see "Cognitive Architecture for Decision-Making based on Brain Principles Programming" paper), contributing to Ethical AI principles.