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D
Devesh K.

Devesh K.

AI Engineer

India flagNew Delhi, India

Key Skills

Software

No software listed

Top Subject Matter

Artificial Intelligence & Machine Learning (LLMs
Retrieval-Augmented Generation
Prompt Engineering)

Top Data Types

No data types listed

Top Task Types

No task types listed

Freelancer Overview

Through my Software Development & AI Internship at Delta IT Network and personal AI projects, I have gained hands-on experience working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and structured data workflows. I developed an AI-powered NCERT educational chatbot that involved extracting and preprocessing PDF data, document chunking, semantic search, vector embeddings (ChromaDB, Qdrant, FAISS), and integrating LLMs to generate context-aware responses. This work required careful data organization, quality validation, debugging, and iterative refinement to improve retrieval accuracy and response quality. In addition, I have experience working with Python, SQL, JSON, and AI application development, including handling structured datasets, validating outputs, and collaborating on AI-powered features during my internship. While I have not held a dedicated AI data annotation role, my experience evaluating model responses, improving prompts, and building end-to-end LLM applications has given me a solid understanding of AI data quality, annotation workflows, and the importance of producing accurate, consistent, and well-structured training data.

Labeling Experience

While I have not worked in a dedicated AI data labeling role, I have relevant experience through my Software Development

While I have not worked in a dedicated AI data labeling role, I have relevant experience through my Software Development & AI Internship at Delta IT Network and personal LLM projects. I have worked with structured datasets, prompt engineering, Retrieval-Augmented Generation (RAG), semantic search, vector databases (ChromaDB, Qdrant, FAISS), and SQL. I also built an AI-powered NCERT chatbot, where I extracted, cleaned, chunked, and validated educational data, evaluated model outputs, and improved response quality through iterative testing. This experience has given me a strong understanding of data quality, AI evaluation, and structured annotation workflows.

Not specified

Education

B

B.Tech Computer Science Engineering

Degree not specified

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Work History

C

Company not specified

Developed and tested AI-powered applications using Python and Large Language Models (LLMs), contributing to backend deve

Location not specified
Not specified