Headline

AI Engineer | LLM Systems, RAG Pipelines, Agentic AI | LangChain, LangGraph, Hugging Face | Production AI Systems

About

AI Engineer specializing in building production-grade LLM systems, RAG pipelines, and multi-agent architectures. Experience designing and deploying AI systems across multiple environments, including POS backends and enterprise workflows. Focused on reliability, hallucination control, and deterministic system design for real-world applications. Key Contributions: Built production RAG pipelines for document understanding and enterprise use cases Designed multi-agent systems using LangGraph for structured task orchestration Developed LLM-integrated backend systems with controlled reasoning and decision constraints Implemented anti-hallucination architectures using deterministic signal pipelines Technical Stack: LangChain, LangGraph, Hugging Face, AstraDB, RAGAS, Docker, Kubernetes, GCP Currently pursuing BTech in Information Technology (2026). Open to AI Engineer / Generative AI Engineer roles.

Location

Surat

AI stack

claude code

claude

hugging face

langchain

langfuse

langsmith

Work experience

AI/ML Engineer at AppMixo®, May 2026 - Present · 5 mos, Surat, Gujarat, India

AI Engineer at AppMixo®, Dec 2025 - Apr 2026 · 5 mos, Surat, • Designed and deployed a production-grade order risk evaluation system utilizing LLM-assisted architecture. • Implemented deterministic decision pipelines to mitigate hallucination risks in POS backend workflows. • Developed a constrained LLM reasoning layer to enhance explainability and reliability in decision-making.

Generative AI Engineer Intern at Akiyam Solutions Private Limited, Oct 2025 - Dec 2025 · 3 mos, Remote, • Developed hierarchical multi-agent systems using LangGraph to enhance structured task execution. • Built modular agent workflows for complex multi-step reasoning tasks, improving overall system efficiency. • Integrated LLM pipelines with tool-calling and state management, optimizing multi-agent communication.

AI/ML INTERN at EdgeQomputing LLP, Jun 2025 - Jul 2025 · 2 mos, Surat, Gujarat, India, • Developed RAG-based AI pipelines for efficient patent document analysis and query generation. • Implemented vector search systems utilizing embeddings for enhanced semantic retrieval. • Integrated Groq-hosted LLaMA models to optimize low-latency inference workflows. • Designed scalable modular pipelines tailored for the legal and intellectual property domain.

Full-stack Developer Intern at HP Param IT Solution, Jun 2024 - Jun 2024 · 1 mo, Anand, Gujarat, India, • Developed a full-stack task management application using React, Node.js, and MySQL. • Built RESTful APIs and implemented CRUD operations to enhance backend services. • Integrated frontend and backend systems with efficient state management for seamless user experience. • Deployed application components and tested APIs using Postman to ensure functionality.

Education

Bachelor of Technology - BTech, Information Technology, Birla Vishvakarma Mahavidyalaya

Public links

github: https://github.com/Nit2312