Open to opportunities

Tharani Veeramachaneni

@tharaniveeramachanen

Message

AI-focused software engineer specializing in LLMs and RAG systems.

India

Message

What I'm looking for

I am seeking roles building production-ready AI/ML systems—especially LLM-powered assistants and RAG pipelines—at companies that prioritize scalable APIs, collaborative cross-functional teams, and opportunities to ship end-to-end models and products.

I am an AI-focused software engineer with hands-on experience building Retrieval-Augmented Generation (RAG) systems, agentic multi-agent workflows, and conversational assistants using LangChain, FastAPI, and vector databases.

At Accenture I developed an AI-powered document assistant that ingests PDFs, Word, Visio, and text, built embedding and data ingestion pipelines, and integrated RAG pipelines for context-aware responses.

My personal projects include an Agentic AI Document Assistant and an AI Knowledge Copilot where I implemented multi-step reasoning, tool-calling workflows, and optimized embeddings and prompts for accuracy and latency.

I prioritize scalable APIs, reliable data pipelines, and deployable prototypes using Docker, Streamlit, and cloud-friendly microservices, and I continuously refine models and prompts to improve user-facing conversational experiences.

Experience

Work history, roles, and key accomplishments

Current

Associate Software Engineer

Current

Accenture

Aug 2024 - Present (1 year 5 months)

Developed an AI-powered document assistant with ingestion, embedding, and RAG pipelines, enabling contextual QA over PDFs, Word, Visio, and text; improved API scalability and deployment automation using Docker and Git. Built interactive chatbot interfaces and collaborated across teams to streamline data flow and vectorization for production use.