Looking for reliable information hidden across the public web?
I help clients conduct OSINT investigations, online research, and digital footprint analysis to discover, verify, and organize relevant publicly available information.
Areas I research:
Online Identity & Username Investigation
Social Media & SOCMINT Research
Digital Footprint Analysis
Background Research & Verification
Website, Domain & IP Intelligence
Company & Corporate Intelligence
Due Diligence Research
Reputation & Public Information Research
Digital & Online Investigations
I prioritize source reliability, accuracy, attention to detail, and clear reporting, providing organized findings tailored to the specific research objective.
Research is performed ethically and within applicable laws, privacy considerations, and platform policies.
Automated LinkedIn Hiring Signal & AI Outbound Engine
Overview:
Designed and deployed an autonomous outbound lead generation system using n8n. The workflow captures hiring intent signals from LinkedIn, identifies relevant executive buyers, enriches verified contact data, and drafts contextualized sales copy through an integrated LLM.
Tech Stack:
n8n • Apify • SearchLeads API • OpenRouter (Nemotron LLM) • Google Sheets API • Telegram Bot API • JavaScript
Core Deliverables:
Automated Signal Scraping: Continuous monitoring of fresh job posts across target industries.
Granular Data Filtering: Exclusion logic for staffing agencies, company headcounts over 250, and unverified domains.
Multi-Source Enrichment: Automated discovery of decision-makers (C-Level, VP, Director) with validated work emails.
Context-Aware Email Generation: Custom prompting architecture that maps the open role's requirements directly into a tailored value proposition.
Data Synchronization & Alerts: Bi-directional sync with Google Sheets and real-time push alerts via Telegram.
Impact:
Replaces 10+ hours of weekly manual SDR prospecting with a continuous background process that delivers high-intent, enriched leads directly to the sales inbox.
I built an AI voice ordering workflow to help a restaurant capture customer orders and pass them to the kitchen with less manual work.
Using Vapi, I configured a voice assistant with the restaurant’s menu and prices to collect customer details and orders. After each call, a webhook triggers an n8n workflow, where OpenAI extracts the order into structured data. The workflow then notifies the kitchen and logs the order in Google Sheets.
I handled the voice assistant setup, webhook integration, AI prompts, and workflow implementation. The solution reduced manual order entry and made order information easier for the kitchen to access.
Tools: Vapi, n8n, OpenAI, Google Sheets, and webhooks.
Gatehive is back on the Framer Marketplace.
A cybersecurity template with 16 pages and a blog CMS. Fully responsive, animated, clean, professional, and conversion-focused.
Find the link in my first comment 😊