Headline

AI Developer || LLM || Backend

About

I build production-minded AI systems that go beyond demos. My work sits at the intersection of applied AI and backend engineering: LLM applications, retrieval-augmented generation, prompt workflows, automation, and scalable product features. I care about building systems that are reliable, maintainable, and actually useful in real-world environments. I am currently an Artificial Intelligence Intern at Antier Solutions and pursuing my BTech in Computer Science at Jaypee University of Information Technology. My foundation includes Data Structures & Algorithms, OOPS, Web Development and neural networks, which gives me a broad technical base to move quickly from idea to implementation. I am now targeting full-time opportunities in: - AI Developer - LLM Engineer - Backend AI Engineer - Python Developer - Product Engineer roles focused on AI I am especially interested in teams building intelligent products, retrieval systems, workflow automation, and AI experiences that need strong execution.

Location

Sahibzada Ajit Singh Nagar

AI stack

claude code

hugging face

langchain

langgraph

langsmith

openai

Work experience

AI Engineer Intern at Antier Solutions, Aug 2025 - Jul 2026 · 11 mo, Mohali district, • Architected event-driven AI platforms using Django, Redpanda, Redis, PostgreSQL, and AWS Bedrock for multi-agent RAG systems and async chat orchestration. • Built and productionized RAG infrastructure with semantic chunking, vector retrieval, Bedrock Knowledge Bases, OpenSearch Serverless, and LangChain orchestration. • Developed healthcare-oriented AI microservices integrating AWS Textract, Comprehend Medical, FHIR conversion, S3 pipelines, and PHI-aware processing. • Engineered scalable distributed systems with RabbitMQ streaming, BullMQ/Celery workers, CI/CD pipelines, Docker deployments, JWT-secured APIs, and reliability safeguards.

Machine Learning Intern at CodSoft Internships, Jun 2025 - Jul 2025 · 2 mos, Remote, • Conducted comparative analysis of Naive Bayes, Logistic Regression, and Decision Tree models for different business requirements. • Built evaluation pipelines using confusion matrices, ROC-AUC analysis, and threshold tuning to balance predictive performance and interpretability.

Education

Bachelor of Technology - BTech, Computer Science, Jaypee University of Information Technology, Waknaghat

Public links

github: https://github.com/Khushichopra5