Open to opportunities

Priyanshu Kumar Singh

@priyanshukumarsingh

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AI engineering student building LLM agents, RAG systems, and computer-vision pipelines for production.

India

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What I'm looking for

I’m seeking an AI/ML or software-engineering internship where I can build scalable, production-ready AI solutions—LLM agents with LangGraph, RAG pipelines, and computer-vision systems—while learning from a team that values reliability and fast iteration.

I’m a B.Tech CSE (AI Specialization) student with hands-on experience building LLM-based agents, retrieval-augmented generation pipelines, and computer-vision systems using LangChain, LangGraph, PyTorch, and FastAPI. In my AI Engineering Intern role, I delivered a multi-domain stateful chatbot and a RAG-based document-intelligence system, and I optimized inference pipelines by cutting average response latency by 68%.

I focus on scalable, production-ready AI: I’ve built and shipped Docker-deployed FastAPI backends, LangGraph workflows with robust validation and audit logging, and CV systems with engineered datasets and modular inference/training pipelines. From fine-tuning YOLOv8n to implementing PII masking and prompt-injection detection, I enjoy turning models into reliable applications.

Experience

Work history, roles, and key accomplishments

AI Engineering Intern

LearnNex

Dec 2025 - Dec 2025 (0 months)

Developed two production-ready AI systems: a multi-domain stateful chatbot using LangGraph and a RAG-based document-intelligence system to summarize and answer questions across multiple PDFs. Optimized inference pipelines with FastAPI backends deployed in Docker using Groq LLMs, reducing average response latency by 68% (2.5s to 0.8s).

LangGraph fastAPI Docker GROQ Inference Optimization

Education

Degrees, certifications, and relevant coursework

Bennett University

Bachelor of Technology, Computer Science Engineering (AI Specialization)

2023 -

Grade: CGPA 8.43 (5th Semester)

B.Tech in Computer Science Engineering (AI Specialization) at Bennett University (Aug 2023–Aug 2027, expected). Currently in the 5th semester with CGPA 8.43.