Idris S.

Key Skills

Software

Toloka

Telus

Don't disclose

Micro1

Mercor

Mindrift

OneForma

AWS SageMaker

Top Subject Matter

AI applications with RAG

LLM-powered content generation

and AI-driven data extraction

Top Data Types

Text

Image

Document

Top Task Types

Prompt + Response Writing (SFT)

Data Collection

Bounding Box

Text Summarization

Object Detection

Classification

Freelancer Overview

HeadStarter AI — Software Engineer (AI application development focused on RAG/data extraction). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Google Gemini, Pinecone, and LangChain. Education includes Bachelor of Science, Nile University of Nigeria (2024). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Prompt + Response Writing (SFT) and Data Collection.

Labeling Experience

HeadStarter AI — Software Engineer (AI application development focused on RAG/data extraction)

Prompt + Response Writing (SFT)

Developed and deployed multiple AI applications that used retrieval-augmented generation workflows for user-facing features. Built a custom RAG pipeline to support a customer support agent with improved response relevance and downstream user outcomes. Also automated data extraction from a university professor database using RAG and an information-retrieval pipeline. • Used Google Gemini and Pinecone for RAG to improve answer relevance. • Used LangChain with Gemini to implement scraper-driven data extraction and query accuracy improvements. • Built SaaS features with LLM-powered flashcard generation using Llama 3.1 and AWS Bedrock. • Supported paywall gating and subscription conversion as part of AI app deployment.

2024 - 2024

Nile Startup Campus — Chief Executive Officer (AI product iteration support)

TextData Collection

Led the creation and design of AI-driven products and platforms that required training-support data workflows. Worked on structured prototype and user-feedback loops to improve platform output quality and iteration speed. Contributed to building AI product experiences in a university entrepreneurship setting. • Organized and guided design-sprint style product iteration for AI-enabled ideas. • Coordinated UI/UX efforts to support AI application usability and user engagement. • Used feedback-driven improvements to refine prototypes and user-facing flows. • Supported growth strategy initiatives tied to prototype and product outcomes.

2023 - 2024

Education

Work History