Ravikiran

Curiosity drives my code — and innovation powers my impact. I’m a Software Developer specializing in Artificial Intelligence, Generative AI, and Machine Learning, where I build scalable and intelligent data-driven systems that solve real-world problems. From deploying multi-modal RAG pipelines to training deep learning models that support critical decision-making, I thrive at the intersection of AI, cloud, and modern product engineering.

I work on developing RAG-enabled GenAI solutions to transform enterprise knowledge retrieval. My experience spans LLMs, LangChain, LangGraph, Azure OpenAI, Python, and embedding-based indexing — enabling accurate and contextual enterprise chatbot assistance.

Beyond my internship, I enjoy building practical AI products — including BreastNet, a deep learning model achieving 90% accuracy in tumor classification, and an AI Resume Screening Tool that delivers 93% matching accuracy for recruiters using Agentic RAG workflows. I’m honored to have published two IEEE research papers and contributed as an inventor on a patent focused on auditory-visual fusion for object detection on edge devices.

With a strong foundation in TensorFlow, PyTorch, Hugging Face models, Docker, and cloud deployment, I love converting complex technical concepts into real, scalable applications — while collaborating seamlessly in Agile engineering teams.

📌 Career Goal: To be a forward-thinking AI Engineer working on next-gen intelligent systems, multimodal LLMs, and AI products that create measurable business and societal impact.