Karthik Roy Kadavala

AI Researcher

Bengaluru, Karnataka, India2 yrs 4 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building LLM-powered AI systems.
Developed multilingual AI applications processing over 700 books.
Focused on reliable AI systems for real-world impact.

Stackforce AI infers this person is a Backend-focused AI Engineer with expertise in multilingual applications and LLM systems.

Contact

Skills

Core Skills

Agentic Ai DevelopmentLarge Language Models (llm)Back-end Web DevelopmentArtificial Intelligence (ai)

Other Skills

Python (Programming Language)FastAPIDjangoFlaskNode.jsPycharmSoftware Project ManagementGitHubReact.jsAgentic AutomationRetrieval-Augmented Generation (RAG)Software DevelopmentXMLMachine LearningTeam Management

About

Right now, I’m working as an AI Engineer Associate at PwC, focusing on building Agentic AI and LLM-powered systems that can retrieve information, use tools, and execute real workflows in production. What excites me most is turning AI from something that just responds… into something that actually acts. Before PwC, at Anuvadini AI, I built Python backend systems for multilingual AI applications — integrating Speech-to-Text, Text-to-Speech, and translation models, and helping automate pipelines that processed 700+ books across Indian languages. That journey shaped how I think about engineering. I don’t just build models or APIs. I focus on building reliable systems that make AI usable in the real world

Experience

2 yrs 4 mos

Total Experience

2 yrs 1 mo

Average Tenure

3 mos

Current Experience

Pwc india

Associate

Feb 2026 – Present · 3 mos · Bengaluru, Karnataka, India · On-site

Working as an AI Engineer Associate, contributing to the development and deployment of AI-driven solutions in production environments.
Key responsibilities include:
Building and integrating LLM-based applications
Designing and optimizing RAG pipelines for enterprise use cases
Developing backend services using Python and FastAPI
Improving response accuracy, latency, and reliability of AI systems
Working with vector databases, embeddings, and retrieval workflows
Supporting AI system integration with existing enterprise platforms
This role focuses on bridging AI models with scalable backend systems to deliver real-world business impact.

Python (Programming Language)Agentic AI DevelopmentLarge Language Models (LLM)

Anuvadini ai

2 roles

Software Developer

Promoted

Dec 2024 – Jan 2026 · 1 yr 1 mo · Delhi, India · On-site

Developed scalable backend systems and REST APIs using Python, FastAPI, and Django for multilingual applications.
Integrated speech-to-text (STT), text-to-speech (TTS), and translation features using Whisper, Tacotron, and Hugging Face Transformers.
Engineered an automation pipeline that processed over 721 books in various Indian languages, streamlining workflows.
Deployed services using Docker, Azure, and CI/CD, while creating internal tools with Node.js, Express, and React.

Python (Programming Language)Back-End Web DevelopmentArtificial Intelligence (AI)