A developer trying to get better everyday and learn new things, both related and unrelated to tech. My background spans over software, automation and AI development, equipping me with a comprehensive toolkit to tackle diverse project challenges.
- Engineered an autonomous AI sales agent via the OpenRouter API, implementing custom function calling to fully automate the booking, canceling, and rescheduling of meetings.
- Architected a stateful, cross-platform context management engine, allowing the AI to maintain seamless conversational memory across website chat, SMS, and email.
- Developed scalable backend infrastructure with bidirectional GoHighLevel CRM integrations, mapping real-time data to AI workflows for personalized, automated lead nurturing.
- Engineered a custom lead-generation platform for Twitch and YouTube, integrating platform-specific scraping to extract and verify contact details.
- Developed an automated email sequencer featuring customizable follow-up logic, which successfully secured sponsorships for content creators.
- Architected end-to-end automated outreach workflows, successfully reducing manual processing time by 80%.
- Created a web development lead filtration system using NLP and keyword matching, reducing manual website verification and filtering time by 90%.
- Sourced 3000+ cleaned leads for Fulfilledge and Nexus AI within 2 weeks.
- Established a distribution network for Organix in multiple African countries as a key member of the marketing team.
- Generated and profiled leads from multiple African countries.
- Smart Search: An intelligent, high-speed search tool that finds files, images, and documents instantly using AI.
- Deep Search: A blazing-fast file search tool built with Rust capable of instantly listing all files.
- Image Deduper: An automated script designed to quickly scan, identify, and sort through large datasets to remove duplicate images.
- Smart Shopping Cart: An automated retail cart system built utilizing an ESP32 microcontroller and RFID readers for seamless item tracking.
- Scam Website Detector: A machine learning security tool leveraging an XGBoost decision tree model to identify and flag fraudulent websites.
- Languages: Python, Java, C, Rust, JavaScript, HTML, CSS.
- Libraries & Frameworks: FastAPI, Flutter, Flet, Pandas, NumPy, SpaCy, Puppeteer, BeautifulSoup.
- Databases & Cloud: SQL, MongoDB, Supabase, AWS EC2.
- Hardware & APIs: Arduino, ESP32, Electronics, Gmail API, Twitch API, Youtube API.
- Core Competencies: System Integration, Platform Automation, Data Pipelines, AI & Machine Learning, Problem Solving, Fast Typing (100+ WPM).
- Email: basilbenny1002@gmail.com
- LinkedIn: https://www.linkedin.com/in/basil-benny12/
- GitHub: https://github.com/basilbenny1002
- Website: https://www.basilbenny.me/
- Instagram: https://www.instagram.com/basil_benny12/
I build projects to learn. Every repo is a step forward.


