Open to opportunities

Shivain Singh

@shivainsingh

AI engineer building agentic RAG, multimodal tutoring, and evaluation pipelines to deliver low-latency, measurable outcomes.

India

Message

What I'm looking for

I want to build production-grade AI systems—agentic RAG, personalized learning, and automation—focused on low latency, evaluation quality, and scalable APIs, in teams that value experimentation and measurable impact.

I’m an AI Engineer focused on building agentic RAG and multimodal pipelines for real, low-latency interactions. I use LangGraph, LlamaIndex, Gemini Live API, and REST APIs to turn complex AI workflows into responsive student experiences.

I also build systems that make AI useful for educators and learners—like an answer script evaluation pipeline and a self-learning personalized tutoring system. To improve productivity, I automate ML dataset labeling and operations workflows with n8n, reducing manual effort by 80%+ while speeding up turnaround.

Previously, as an AI/ML Intern, I developed a RAG-based website chatbot and built handwriting recognition with YOLO-V11 and CNNs, including graphology-style insights. I’ve also implemented chat-context summarization with rolling summaries and Redis caching, designed LLM retrieval APIs with Django REST Framework, and contributed RAG projects using FAISS and conversational memory.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

ZipExams

Mar 2026 - Present (3 months)

Developed agentic RAG and multimodal pipelines for low-latency student interactions using LangGraph and LlamaIndex, plus Gemini Live API integration. Built ML/GenAI tutoring and answer-script evaluation pipelines, and automated labeling workflows with n8n to reduce manual effort by 80%+.

Agentic RAG LangGraph LlamaIndex Gemini Live API REST APIs Machine Learning Generative AI N8n

AI/ML Intern

Explormee

Sep 2025 - Feb 2026 (5 months)

Built a RAG-based website chatbot using LangChain and large language models, plus a custom handwriting recognition system using YOLO-V11 and CNN to generate graphology insights. Implemented chat-context summarization and Redis caching, and delivered retrieval-augmented responses via Django REST Framework and REST APIs.