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
Education
The University of Texas at Dallas
Dallas, USA
Master of Science, Computer Science
May 2025
R.M.K Engineering College
Chennai, India
Bachelor of Engineering, Electronics and Communication Engineering
Mar 2023
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