Jonathan Reynold Gomes

Data/AI/ML Engineer and Generative AI Specialist with a passion for developing real-world data-driven applications using Large Language Models. Skilled in creating end-to-end AI solutions for document understanding, YouTube Q&A, summarization, and memory-aware chatbots. Certified AWS AI Practitioner AIF-C01 with a focus on NLP and multi-agent systems, constantly seeking innovative ways to integrate AI into user-friendly applications. Committed to excellence, creativity, and impactful work in the AI field, with strong problem-solving skills and proficiency in data analysis techniques such as regression, random forest, and decision trees.

AWS Certified AI Practitioner

• BedrockPDF-Chat, A Retrieval-Augmented Generation (RAG) system built on Amazon Bedrock. It enables admin users to upload PDFs which are chunked, embedded using Titan Embeddings, and stored in FAISS for semantic retrieval., Ideal for enterprises managing internal documentation or legal teams needing instant Q&A over contracts and regulatory documents.
• LTM-AI-Agent, An intelligent chatbot featuring Long-Term Memory using SQLite for persistent conversation storage and Pydantic AI for response generation., Acts as a smart assistant for customer support or personal productivity, remembering past interactions to provide context-aware help over time.
• TubeTalk, A YouTube summarizer that takes video URLs and returns AI-generated summaries and live chat insights for faster content understanding., Useful for students, researchers, or professionals who want quick takeaways from long educational or conference videos without watching the full content.
• CrawlMCP, A hybrid system combining Model Control Protocol (MCP) with Firecrawl for intelligent web scraping. MCP enables real-time tool access by LLM agents, while Firecrawl extracts structured data., Perfect for market analysts or researchers needing automated company profiling, documentation parsing, or data aggregation from the web.

• Introduction to Generative AI
• Tensorflow 2.0: Deep learning and Artificial Intelligence
• Machine Learning & Data Science: The Complete Visual Guide
• Deep Learning Prerequisites: The Numpy Stack in Python (V2)
• 100 Days of Code: The Complete Python Pro Bootcamp

• Smart India Hackathon 2023-24, Active Participant
• Code4AI, Active Participant
• Rubix 25, Active Participant