Trust, but verify: The critical battle ground of AI Safety and Security

I am an AI/ML researcher and a Google Developer Expert (GDE) in AI/ML, passionate about pushing the boundaries of Generative AI, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs). My work focuses on optimizing LLM pipelines, enhancing text extraction, and improving AI-driven applications.

Currently, I lead R&D at Truxt LLP (USA, Remote), where I research and implement techniques like Crawl4AI, Unstructured IO, and hybrid search methods to refine text extraction and LLM performance. Previously, I worked as a Machine Learning Associate at Binoloop Inc (Canada, Remote), where I specialized in RAG, text extraction, and fine-tuning LLMs.

Beyond my professional roles, I actively contribute to AI research as a Generative AI Research Mentor at Symbiosis Centre for Applied AI (SCAAI). I’ve published multiple papers on EDA, Cloud AI, and Knowledge-aware LLMs. I’m also deeply involved in the AI community, leading ML Surat, where I have trained 3,000+ developers, and as a GDE in AI/ML, I have educated over 6,000 professionals globally.

Some of my key projects include RAG with Gemini, a GitHub Repository Analyzer using Generative AI, and Emotion Classification (98.51% Accuracy). I specialize in Python, TensorFlow, NLP, Deep Learning, and GCP, with a strong focus on making AI more efficient and accessible.