Bashir S.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

Prop-Tech/Real Estate data integration and Web3/crypto analytics (LLM-driven content synthesis)

Real estate (Prop-Tech) data scoring using LLM integration

lead generation automation

Top Data Types

Image

Top Task Types

Prompt + Response Writing (SFT)

Function Calling

Freelancer Overview

AI & Web3 Systems Engineer | Independent Projects. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes AI & Web3 Systems Engineer, Independent Projects (2025). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Prompt + Response Writing (SFT) and Function Calling.

Labeling Experience

Technical Founder & Lead Developer | Kai Realent (Prop-Tech SaaS)

OtherFunction Calling

Engineered an AI lead-generation engine that programmatically fetches external real estate data and uses an LLM integration to score property viability. Implemented automated lead syncing into a Supabase backend, where the AI’s scoring outputs drive downstream classification-like outcomes for business use. Built secure supporting backend components using RLS and Edge Functions to enable reliable real-time AI-driven processing. • Integrated Zillow data fetching with Gemini AI for property viability scoring • Synced high-intent leads into Supabase based on AI-derived results • Implemented secure Row Level Security and Edge Functions for real-time processing • Architected and launched the full AI-enabled SaaS product lifecycle

2026 - Present

AI & Web3 Systems Engineer | Independent Projects

Don't disclosePrompt + Response Writing (SFT)

Developed autonomous AI agents and automation workflows that rely on LLM-based prompt engineering to synthesize and generate Web3-related content. Integrated and operationalized LLMs to transform trending discourse into structured, high-engagement outputs for social media distribution. Built end-to-end pipelines where AI outputs were treated as the deliverables of the training/instruction loop rather than traditional annotation tasks. • Used LLMs (Gemini AI referenced in related projects) and prompt engineering techniques for content synthesis • Generated viral technical posts from live Web3 discourse signals • Designed agent logic for automated wallet management and strategy execution • Operated within Termux-based development constraints to run and iterate the AI workflows

2025 - Present

Education

Work History