GenAI & Agentic Systems | AI-Driven Solutions | LLMs & NLP | Research-Backed Development
I'm an AI Engineer with experience in building and deploying real-world user facing ML and GenAI systems — from LLM-powered applications and multi-agent workflows to scalable backend APIs optimized for latency, cost, and reliability. I am passionate about leveraging machine learning and AI tools to solve real-world problems.
🔭 I work hands-on across the ML lifecycle — problem framing, modeling, system design, deployment and iteration under real user constraints.
- ⚙️ Design and deploy production-grade LLM applications (RAG, AI Agents)
- 🧠 Build multi-agent workflows with backend APIs in end-to-end applications.
- 🧩 Combine classical ML with GenAI to personalize, rank, and reason over user data.
- 📚 Implement retrieval pipelines over documents, web data, and knowledge bases for grounded generation.
- 📊 Translate ML outputs into user-facing product impact.
🔗 LinkedIn: https://www.linkedin.com/in/anjalichennupati/
📖 Published multiple research papers in IEEE on AI, NLP, and machine learning applications as the primary author.
🧠 Topics include LLMs, RAG frameworks, deep learning, and predictive analytics.
🔗 Check out my work: https://scholar.google.com/citations?user=4MU_aSgAAAAJ&hl=en
📌 Ongoing Research & Innovations
✍️ Most recently, I've been working on journal papers in RAG-LLM-based legal chatbots and AI-driven image-to-audio encryption & decryption.
🔖 Exploring patents on a MERN-based GI tagging and blockchain application.