Ravikiran T S

AI Data Annotation & Transcription Intern

Bengaluru, Karnataka, India

@ravikiran_t_s

0 followers

About

Computer Science (Data Science) graduate with hands-on experience in AI data annotation workflows, NLP, speech-to-text technologies, LLM evaluation, data validation, and quality assurance. He has worked on structured evaluation, model output review, and improving data quality for GenAI and NLP workflows.

Experience

AI/ML Developer Intern

Festiva Moments

Feb 2026 – Jun 2026

Supported data annotation and labeling workflows for GenAI and NLP model development. Improved held-out task accuracy by 28% on a domain-specific LLM using Hugging Face Transformers and PyTorch, reduced data-quality incidents by 38% through automated LLM evaluation scripts, built and evaluated a RAG pipeline over 10,000+ business records, and performed structured evaluation across model and prompt variants in MLflow.
Python Full Stack Developer Intern

Brain O Vision Solutions Pvt Ltd

Mar 2024 – Jun 2024

Implemented automated data validation checks, optimized T-SQL and ANSI SQL pipelines on SQL Server, developed REST API integrations and reporting workflows, and created Power BI dashboards while reviewing structured data for reporting accuracy and consistency.

Education

B.E.

AMC Engineering College

Computer Science & Engineering (Data Science) · Dec 2022 – Jun 2026

Skills

6 to 12 months

Data validation

3 to 6 months

SQL Python Data Cleaning Data Labeling LLM evaluation Text Annotation Quality Checking AI Data Annotation

<3 months

JSON NumPy Hindi Faiss Pandas FastAPI PyTorch English Streamlit LangChain scikit-learn Transcription speech-to-text Text Processing Prompt Evaluation Natural Language Processing

Tools / apps / platforms

3 to 6 months

Mlflow Microsoft Power BI Microsoft SQL Server Hugging Face Transformers

<3 months

Git Docker Pinecone

Languages

Fluent

Hindi Speak English Speak

Projects

Build-Your-Own-GPT & Prompt Engineering

Python, PyTorch, Hugging Face Transformers

Implemented a transformer training and fine-tuning workflow with tokenization, sampling controls, model evaluation, and human-response checks.
Intelligent Internet Search Engine

Python, FAISS, NLP, Sentence Transformers

Built a retrieval and ranking workflow combining lexical search, dense embeddings, and cross-encoder reranking, and evaluated results through structured testing and relevance analysis.
Agentic AI System

Python, LangGraph, LangChain, FAISS, FastAPI

Built a multi-step AI system using tool calling, retrieval, persistent memory, and structured output validation with fallback mechanisms to reduce hallucination rate.
Generative AI RAG Chatbot

Python, LangChain, FAISS, Pinecone, Streamlit

Built a document question-answering system over PDF and web content and evaluated generated responses against a ground-truth QA set using structured criteria.

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