Abdullah Kamran

Owns agency-wide automation, including agentic workflows, API integrations, and AI tooling to scale client delivery without adding headcount.

Built a Python 4-agent content pipeline with classification, scoring, writing, and voice capabilities, including human approval gates and 12 scheduled cycles.

Built the SMB Dashboard, a production lead generation and outreach platform, and shipped AI phone and SMS agents across dealership, dental, and car rental verticals.

Delivered lead generation engines, custom CRMs, voice receptionists, and gym operations automation for clients across four continents, maintaining a 4.9 rating.

Shipped 18 production workflows with over 620 nodes for US, UK, and EU clients, including interview avatars, voice booking, email AI, and RAG concierge. Automated hiring end-to-end with resume parsing and AI screening.

Reduced stockouts by 15% and sped up decisions by 25% by creating over five Power BI and Looker Studio dashboards analyzing more than 50,000 records.

Developed a glasses-detection CNN on 5,000 images using TensorFlow and Keras, and built an NLP sentiment model achieving 87.6% accuracy.

Pursuing a Bachelor of Science in Computer Science, expected to graduate in 2028.

Earned the AWS Certified Cloud Practitioner certification.

Completed n8n certification and four n8n Academy courses.

Completed Google AI Essentials certification.

Completed two courses from DeepLearning.AI.

Completed a course on Prompt Engineering from Vanderbilt University.

Completed a course on ChatGPT Advanced Data Analysis.

Completed four Microsoft Excel and PowerPoint courses.