Praneeth Nagilla

Background

About Praneeth Nagilla

As a Full Stack Developer with a Master’s in Computer Science and a growing focus on AI-native architecture, I specialize in building scalable enterprise applications that combine backend robustness with intelligent, responsive frontends. My experience spans the full development lifecycle — from Spring Boot and Java microservices on AWS/Azure to Python-based agents and dynamic UIs with React and Angular. I focus on designing modular systems that not only meet functional requirements but also embed Generative AI capabilities like OpenAI, LangChain, LLM pipelines, and vector search (Pinecone, FAISS) into real-world workflows. Whether orchestrating multi-step prompt flows, caching AI responses, or building RAG-based assistants, I believe GenAI should be part of system design — not an afterthought. I’ve built claim automation flows in healthcare, ledger pipelines in banking, and real-time dashboards in telecom — and infused each with performance tuning, secure access layers (OAuth2, JWT), containerized deployment (Docker/Kubernetes), and cloud-native resilience. In Agile teams, I take ownership across design, delivery, and mentoring. I’m passionate about clean code, architectural decisions, and observability from day one — not just for debugging but for building trust in systems. I believe in innovating at the edges: whether it's NLP-enhanced interfaces, LLM-powered bots, or hybrid AI+human workflows — AI isn't just hype when it solves bottlenecks. I bridge vision with execution by shipping resilient code that scales, observes, and adapts. Portfolio → https://praneeth340.github.io/Praneeth_Nagilla_Portfolio Let’s connect if you’re hiring engineers who blend GenAI intelligence with solid engineering fundamentals.