Lakshmi Chakradhar Vijayarao
AI Engineer specializing in LLMs, RAG, & Multi-Agent Systems
About Me
AI Engineer specializing in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Reinforcement Learning (RL), and multi-agent systems. Experienced in building end-to-end production-grade AI pipelines, including LLM fine-tuning (LoRA/QLoRA), dense retrieval (FAISS/ChromaDB), hybrid RAG architectures, verification agents, GPU-optimized inference, and RL-based query optimization.
Skills & Expertise
Featured Projects
MedRAG – Clinical Retrieval-Augmented Assistant
Built clinical RAG system using dense + BM25 hybrid retrieval, improving terminology recall +31%. Reduced hallucinations 34% through evidence-grounded generation + multi-agent verification.
FinAgentX – Multi-Agent Financial Analytics System
Engineered multi-agent framework for market analysis, risk scoring, and regulatory retrieval. Implemented retrieval-aware routing with compressed FAISS, cutting latency –41%.
SafeRAG – Hallucination Detection & Verification Engine
Designed multi-stage hallucination detection pipeline with evidence alignment + attribution. Reduced unsupported claims –46% across clinical and financial datasets.
LoRA-ClinicalBERT – Medical LLM Domain Adaptation
Fine-tuned LLaMA/Mistral models on PubMed + clinical discharge summaries. Increased ROUGE-L +19% while reducing compute cost 63% using QLoRA.
Certifications
- ✓Hugging Face Building and Fine-Tuning LLM
- ✓Microsoft Certified: AI & ML Engineer
- ✓AWS Certified Cloud Practitioner – AWS Academy