Raviteja B

AI Software Engineer specializing in building production-grade LLM applications, multi-agent systems, chat engines, and Retrieval-Augmented Generation (RAG) pipelines across AWS cloud-native and standalone setups, with experience using AWS Bedrock Agents, AutoGen, and MCP to deliver scalable AI solutions. rocketreach

Hands-on experience designing and deploying multi-agent property inspection and research-synthesis platforms, implementing image-based damage detection, supervised agent orchestration, conversational chat engines, and distributed web crawling pipelines optimized with Airflow and cloud compute. rocketreach

Technical skillset: Python, FastAPI, Flask, LangChain, LangGraph, LlamaIndex, Streamlit, Hugging Face, LangSmith; cloud and data tooling including AWS (Bedrock, Lambda, S3, AgentCore), embedding models, vector databases (FAISS, Pinecone, pgvector), SQL, Airflow, PyTorch, Docker, Git, and CI/CD.

Education: Bachelor of Computer Applications, REVA University (Aug 2021–Aug 2024), graduated with CGPA 8.22; based in Bengaluru, Karnataka, India. rocketreach

Quickly promoted from Trainee to Associate Software Engineer early in tenure at Kadel Labs before becoming Software Engineer, demonstrating strong learning agility and rapid career advancement in AI software engineering.

Strong AI and generative AI expertise with LLMs (GPT, Claude), Retrieval-Augmented Generation (RAG), prompt engineering and fine-tuning, multi-agent architectures (AutoGen, CrewAI, MCP, Strands Agents), and proficiency with cloud and data tools like AWS Bedrock Agents, embedding models, vector databases, SQL, Airflow, PyTorch, Docker, Git, CI/CD, and GCP.