Yash Mishra

I am an AI Engineer and final-year Computer Science (AI & ML) student with hands-on experience building Generative AI applications, multi-agent systems, computer vision solutions, and production-ready machine learning pipelines.

My experience includes developing RAG-based systems, agentic AI workflows, semantic search platforms, and real-time AI applications. During my internship at Robro Systems, I engineered scalable RAG pipelines using Qdrant, designed multi-agent workflows with NVIDIA NemoClaw, and contributed to deployment and monitoring of AI services in production environments.

I have built several end-to-end AI projects, including FinDoc, a multi-agent financial risk analysis platform powered by FastAPI and LangGraph; an optimized RT-DETR TensorRT inference pipeline for real-time object detection; and SAARTHI1-7, a real-time Indian Sign Language translation system that led to a published patent application.

My technical expertise spans Python, SQL, PyTorch, TensorFlow, Hugging Face Transformers, LangGraph, AutoGen, FastAPI, Docker, OpenCV, TensorRT, Qdrant, ChromaDB, and modern LLM application development. I enjoy working on problems involving Generative AI, retrieval systems, agent orchestration, computer vision, and AI deployment.

My work has been recognized through multiple national-level hackathon victories, including Hack with India 2025, Tech Pragyan 2025, and Virtual Vista 2.0. I have also participated in 10+ hackathons, solved 200+ DSA problems, and continuously explore cutting-edge AI technologies to build impactful products.

I am actively seeking opportunities in AI Engineering, Machine Learning Engineering, Generative AI, Agentic AI, and Applied AI, where I can contribute to building intelligent, scalable, and real-world AI systems.