I’m an AI & ML undergraduate based in Hyderabad, focused on building practical Generative AI systems. I work on multimodal LLM applications, Retrieval-Augmented Generation pipelines, and AI-powered full-stack products. I enjoy combining machine learning with modern web technologies to create scalable, production-ready solutions. I’ve participated in national hackathons and contributed to large-scale AI projects, continuously pushing toward building impactful AI systems.

Interested in advanced AI agents, scalable LLM infrastructure, multimodal reasoning systems, and AI product architecture. Looking to collaborate on impactful AI startups, research-driven GenAI projects, and production-grade enterprise AI systems.

Currently building multimodal and RAG-based GenAI systems using Gemini, LangChain, and FAISS. Exploring advanced prompt engineering, Chain-of-Verification pipelines, and real-time AI agents. Experimenting with scalable LLM applications using Next.js and TypeScript, and improving evaluation frameworks to reduce hallucinations and increase response faithfulness.

A curious builder passionate about emerging AI systems. Currently exploring agentic workflows, tool-using LLMs, and how new AI primitives can unlock better developer experiences.

Agentic AI & Autonomous Systems Exploring how LLMs can plan, reason, and take actions across tools and environments. Interested in practical patterns for building reliable, controllable agentic workflows. LLM Infrastructure & Tooling Learning more about orchestration frameworks, evaluation, observability, and debugging techniques for production-grade LLM systems. Applied AI & Real-World Use Cases Connecting with builders working on AI applications that solve concrete problems beyond demos—espe

Exploring agentic workflows and tool-using LLMs, experimenting with multi-agent coordination, retrieval-augmented systems, and rapid prototyping of AI-powered developer tools.

Mudimela Nithin Reddy is a Student at Mlr Institute Of Technology, open to new opportunities and seeking full-time work. He can help with hiring and technical architecture.

I am a final-year B.Tech student in Artificial Intelligence and Machine Learning based in Hyderabad, India. As a backend-focused developer, I specialize in Java and Spring Boot, emphasizing high-performance systems, secure APIs, and database query optimization. Recently, I have been expanding my skill set by building AI agents and integrating them into traditional backend architectures. I also have hands-on experience deploying cloud-native applications on Google Cloud Platform using Cloud Run and Compute Engine VMs. I enjoy tackling complex algorithms, having solved over 600 DSA problems, and recently placed Top 20 at the GDG Agentathon for building a multi-agent system.

I am highly interested in the intersection of traditional backend engineering and Artificial Intelligence. Specifically, I want to learn more about developing and deploying scalable multi-agent systems, integrating LLMs with production-grade Java and Spring Boot backends, and exploring distributed systems and real-time data processing. I am eager to connect with professionals working on AI-driven backend applications, scalable cloud architecture, or intelligent fintech solutions.

Currently developing MAFA (Multi-Agent Financial Assistant) across three repositories (Spring Boot backend, FastAPI agents, and frontend). It is designed for automated trading and market research using LangChain and LangGraph. I am focusing on high-throughput agent queries, Redis caching to improve latency, and deploying the microservices on Google Cloud Platform to bridge the gap between AI agents and robust, production-ready backends.