Open to opportunities

KRISHNA CHAITANYA GOUD MAKTHALA

@krishnachaitanyagoud

Message

AI Engineer crafting production RAG and multi-agent systems with AWS and FastAPI.

United Kingdom

Message

What I'm looking for

I want to build production-grade LLM apps—RAG, multi-agent workflows, and function calling—on AWS using FastAPI and solid CI/CD. I’m looking for teams that value modular design, measurable performance, and reliable deployment.

I’m an AI Engineer and Data Scientist with 2 years of enterprise software engineering experience at Accenture and an MSc in Data Science from UWE Bristol.

Most recently, I delivered a modular multi-agent AI platform on AWS, building LangChain-orchestrated agents with RAG, function calling, and Pinecone vector retrieval behind a FastAPI gateway. I containerised the system with Docker, deployed it on Amazon ECS Fargate, and automated build/test/deploy using GitHub Actions CI/CD.

In my contract role, I architected three specialised agents—a RAG-powered Guest Concierge, a function-calling Booking Assistant, and a sentiment-based Complaint Triage Agent—and built end-to-end RAG pipelines over a 60+ document knowledge base using custom chunking and embedding for semantic retrieval.

I also build practical AI products through personal projects like AskMyDoc (a document Q&A assistant using LangChain, OpenAI API, FAISS, and Streamlit) and a retail demand forecasting system for COICOP categories using Prophet, XGBoost, LSTM, and ARIMA. I’m driven by clean system design, measurable performance, and production-ready ML/GenAI engineering.

Experience

Work history, roles, and key accomplishments

AI Engineer (Contract)

Avsar

Dec 2025 - Jun 2026 (6 months)

Architected and delivered a modular multi-agent AI platform on AWS using LangChain and OpenAI API, including a RAG-powered Guest Concierge, a function-calling Booking Assistant, and a sentiment-based Complaint Triage Agent. Built RAG pipelines with Pinecone, exposed agents via a FastAPI REST gateway, and deployed the containerized platform to Amazon ECS Fargate with GitHub Actions CI/CD.

Multi Agent Systems Lang Chain OpenAI API RAG Pinecone fastAPI Function Calling Tool Use Prompt Engineering Docker AWS ECS Fargate Amazon ECR GitHub Actions CI CD

Application Development Associate

Accenture

Sep 2021 - Sep 2023 (2 years)

Engineered Python automation scripts to streamline multi-environment deployment workflows and improve delivery cycle efficiency. Built and maintained ASP.NET MVC and PowerShell configuration management workflows, and used SQL to analyze operational and retail datasets to support incident diagnosis and data-driven decisions.

Python Scripting ASP.NET MVC PowerShell Configuration Management SQL Root Cause Analysis Incident Diagnosis Data Analysis Operational Analytics

Education

Degrees, certifications, and relevant coursework

University of the West of England, Bristol

Master of Science, Data Science

2024 - 2025

Activities and societies: MSc capstone (Aug 2024–Sep 2025): retail demand forecasting using Prophet, ARIMA, XGBoost, LSTM, and UK ONS data.

Completed an MSc in Data Science at UWE Bristol (2024–2025), including a capstone building an end-to-end retail demand forecasting system using UK ONS data.