Naveen R

AI and full-stack developer with hands-on experience building multimodal document AI systems, RAG pipelines, AI agents, and production-ready automation workflows. Strong in Python, TypeScript, Next.js, Node.js, FastAPI, REST APIs, and LangChain, with experience delivering end-to-end solutions from backend logic to user-facing interfaces.

AI Developer Intern at CryptoTech Laboratories Pvt. Ltd. (2026-02 – 2026-05)

• Developed the AI pipeline for a digital signature platform using multimodal VLM fine-tuning, QLoRA, and layout-aware document analysis, improving checkbox and signature field recall by 65%.
• Architected a vectorless RAG backend with FastAPI, LangChain, PyMuPDF, and Docling to preserve document structure and visual hierarchy during retrieval and reasoning.
• Engineered secure multi-agent workflows using CrewAI, Qdrant, ChromaDB, Pydantic, and MCP-based validation to reduce hallucinations and enforce controlled agent access.

AI Automation Intern at ScalePods (2025-10 – 2026-01)

• Architected AI-driven WhatsApp outreach and lead automation workflows using n8n, Apify, webhooks, and Google Maps data pipelines to manage 500+ leads per week across multiple business domains.
• Developed conversational agent flows for lead qualification, response handling, meeting scheduling, calendar synchronization, and CRM/dashboard status tracking.

AI Intern at Infosys Springboard (2025-10 – 2025-12)

• Built a financial document intelligence platform to extract entities, analyze sentiment, and generate insights from large-scale reports.
• Implemented RAG-based search and NLP pipelines using Python, FastAPI, LangChain, and transformer models.
• Delivered REST APIs and a responsive frontend for document ingestion, analysis, and visualization.

Bachelor of Engineering (BE) in Information Science and Engineering – Bahubali College of Engineering, VTU Belagavi (2026-05)

CGPA: 9.22/10.0