Ryan George

Results-driven Python developer and data scientist with hands-on experience building edge-AI systems, production-grade Generative AI pipelines (RAG), and sophisticated multi-agent LLM systems. Confirmed technical expertise validated by multiple Codecademy analytics certifications and a proven track record of translating complex machine learning models into intuitive, actionable applications that solve business problems.

Research Intern - IIIT Kottayam

(2025-05 - 2025-06)

• Edge-AI Classification: Engineered an offline bird recognition system on Raspberry Pi using BirdNET and a USB microphone, achieving rapid, internet-independent audio classification in remote field environments.
• Generative AI Integration: Automated comprehensive species profiling by linking the Google Gemini API to generate instant natural-language descriptions detailing habitat, specific behavior, and ecological relevance.
• Interactive Analytics: Developed a responsive Streamlit dashboard providing real-time audio playback, spectrogram/waveform visualization, and educational summaries, significantly reducing manual verification time.

Data Engineering Intern (Remote) - Olcademy - Remote

(2025-03 - 2025-09)

• Scalable Web Scraping: Extracted large-scale restaurant metrics from RestaurantGuru via automated BeautifulSoup and Selenium pipelines, eliminating manual effort and standardizing automated delivery to SharePoint.
• Intelligent LLM Agents: Developed specialized multi-model AI agents (Gemini & Groq APIs) to synthesize lengthy customer reviews into crisp summaries and dynamically classify complex OpenTable dishes into dietary categories.
• Pipeline Infrastructure: Optimized processing pipeline reliability by refactoring custom checkpoint-saving protocols, completely preventing data loss and ensuring continuous, uninterrupted operational pipelines.

B.Tech - Computer Science & Engineering - Rajagiri School of Engineering and Technology (2023-09 - 2027-05)