Building RAG pipelines, automation systems, scalable APIs, and modern web applications.
class Caleb:
role = "Full Stack + AI Systems Developer"
current_focus = [
"RAG Pipelines",
"LLM Benchmarking",
"FastAPI Automation",
"Next.js Applications"
]
tech_stack = {
"frontend": ["React", "Next.js", "TailwindCSS"],
"backend": ["FastAPI", "Node.js", "Laravel"],
"ai_ml": ["Python", "RAG", "NLP"],
"database": ["PostgreSQL", "MongoDB", "MySQL"]
}
communities = [
"Geek Room KRMU",
"Hackathons",
"Open Source"
]
motto = "Build things that actually solve problems."
- RAG benchmarking framework for evaluating retrieval pipelines
- AI-powered grievance automation platform
- Transcript Processing API using FastAPI + NLP
- Developer tooling experiments with LLM workflows
- Benchmarked multiple retrieval pipelines using LLM evaluation metrics
- Built comparative workflows for:
- LLM-only pipelines
- Hybrid RAG systems
- Fine-tuned retrieval pipelines
- Focused on response quality, latency, and retrieval accuracy
- Built a FastAPI-based support automation platform
- Integrated NLP + OpenAI workflows for ticket analysis
- Added dashboard analytics and predictive insights
- Designed for scalable institutional grievance management
- Upload PDF/DOCX transcripts
- NLP-powered summarization pipeline
- Slack & Email integrations
- CLI + API workflow experimentation
- Built during DoraHacks EDU Chain Hackathon
- Smart contracts on Arbitrum Orbit
- Next.js frontend + Solidity backend
- Transparent educational crowdfunding workflow
- Head of Geek Room KRMU
- Participated in:
- ISRO Hackathon
- DoraHacks
- Hacktoberfest
- Open Source Programs
- Active in developer communities and collaborative projects
