Anish K.

Key Skills

Software

Google Cloud Vertex AI

Top Subject Matter

Ai/nlp Domain Expertise

document question answering

multilingual RAG retrieval

Top Data Types

Document

Text

Top Task Types

Question Answering

Freelancer Overview

AI Retrieval-Augmented Generation (RAG) System project (AI-powered document Q&A). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Google Cloud Vertex AI. Education includes Bachelor of Commerce, Kolhan University (2019) and Full Stack Web Development Course Certificate, Almabetter (2023). AI-training focus includes data types such as Document and labeling workflows including Question Answering.

Labeling Experience

AI Retrieval-Augmented Generation (RAG) System project (AI-powered document Q&A)

Google Cloud Vertex AIDocumentQuestion Answering

Built an AI Retrieval-Augmented Generation (RAG) system to answer questions over text documents using semantic embeddings and a vector database. Implemented multilingual query support and low-latency retrieval to improve accuracy and responsiveness for end-user interactions. Conducted testing to validate retrieval correctness and pipeline reliability for document-based question answering. • Used Google Embedding Model to generate semantic embeddings for documents. • Stored and queried vectors in Supabase for efficient similarity search. • Integrated a Node.js backend to orchestrate the RAG pipeline via LangChain. • Added multilingual processing and performance optimizations for user experience.

2025

Education

Work History