Rohit Choukiker

I am a Full Stack Generative AI and Backend Engineer focused on building scalable AI-powered applications and intelligent backend systems. My work primarily involves developing production-grade LLM applications, Retrieval-Augmented Generation (RAG) pipelines, and AI-driven platforms using technologies such as FastAPI, LangChain, LangGraph, vector databases, and modern cloud infrastructure.

Currently, I am working as a Software Developer Intern at StratSync.ai where I design and build agentic RAG workflows, automated evaluation pipelines, and modular backend APIs that improve reliability and grounding accuracy of LLM systems. My work focuses on building robust AI architectures that can operate reliably in real-world production environments.

I have built multiple end-to-end AI applications including an SLA Breach Prediction Platform that proactively detects high-risk support tickets using LLM reasoning and semantic retrieval, and an AI-powered hotel recommendation system that generates explainable recommendations using user preferences and sentiment analysis.

I am passionate about building intelligent systems that combine machine learning, backend engineering, and scalable system design. I also enjoy participating in hackathons and solving real-world problems through AI innovation. I was the winner of the Indore Tech Hackathon 2025 where I built a geospatial AI system to detect illegal construction using satellite imagery and anomaly detection.

My core interests include Generative AI, LLM infrastructure, RAG architectures, backend system design, and building AI products that can scale in real-world applications.