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Shabi ul Hassan UserSU
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Shabi ul Hassan User

@shabiulhassanuser

AI automation engineer and CTO at MASK AI building voice agents and reliable workflows that handle thousands of customer interactions monthly.

Pakistan
Message

At MASK AI, I design and build custom AI systems for US clients, including voice and chat agents, workflow automations, and B2B SaaS product modules. The systems I run handle thousands of customer interactions a month, with tool success rates above 99%.

I build agents in Voiceflow and connect business systems with Make.com, OpenAI and Claude APIs, Python, FastAPI, and PostgreSQL. Reliability matters to me: live workflows include error alerting, audit checks, and a test copy so changes can be checked before release.

Earlier, I contributed to machine learning initiatives at Artificial Intelligence Community of Pakistan and developed HarmonyBot during my internship at UrduX. HarmonyBot combined FastAPI, Meta-Llama-3-8B-Instruct, and Docker to provide real-time medical and mental health support.

Experience

Work history, roles, and key accomplishments

MASK AI logoMA
Current

Co-Founder & Chief Technology Officer (CTO)

MASK AI

Jun 2025 - Present (1 year 5 months)

I lead engineering at MASK AI, where we design and ship custom AI systems for US clients. I'm hands-on: I design the systems and build them.

What I build:
- AI agents, by voice and by chat, in Voiceflow, with tool calling, knowledge bases and live handoff to a person
- Workflow automation in Make.com that connects CRMs, calendars, phone and SMS systems, and ad platforms
- LLM features on the Open

UrduX logoUR

Artificial Intelligence Intern

UrduX

Jul 2024 - Aug 2024 (1 month)

I had the opportunity to work as an AI Intern at UrduX. During this Summer internship, I gained hands-on experience in AI development, cloud deployment, and machine learning models, culminating in the development of HarmonyBot, an AI-powered chatbot.

Key Achievements:
• Developed HarmonyBot: Built a chatbot using FastAPI, Hugging Face's Meta-Llama-3-8B-Instruct model, and Docker. The bot was depl

AP

Machine Learning Intern

Artificial Intelligence Community of Pakistan

Jul 2024 - Aug 2024 (1 month)

Contributed to diverse ML initiatives focused on predictive modeling and pattern recognition. Key contributions included:

1) Engineered data pipelines for large-scale datasets using Pandas, NumPy, and SciPy to drive data-informed insights.
2) Deployed ML models via Scikit-learn, including Isolation Forest for anomaly detection and Linear Regression for predictive analytics.
3) Optimized model per

Education

Degrees, certifications, and relevant coursework

DE

DeepLearning.AI

Machine Learning Specialization

Jun 2025

DE

DeepLearning.AI

Unsupervised Learning, Recommenders, Reinforcement Learning

Jun 2025

DE

DeepLearning.AI

Advanced Learning Algorithms

May 2025

NE

Neo4j

Neo4j Certified Professional

May 2025

UC

University At Buffalo and The State University of New York | Coursera

Blockchain Specialization

Apr 2025

DE

DeepLearning.AI

Supervised Machine Learning: Regression and Classification

Apr 2025

National University of Computer and Emerging Sciences logoNS

National University of Computer and Emerging Sciences

Bachelor of Science - BS, Computer Science

2021 - 2025

As a BSCS student at FAST Islamabad, I’ve embraced a curriculum that’s both challenging and rewarding. My journey here is not just about acquiring technical knowledge; it’s about personal growth and pushing the boundaries of what I can achieve. From mastering programming languages to understanding the complexities of algorithms and database systems, my education has been a blend of innovation, cre

GO

Google

Foundations: Data, Data, Everywhere

Feb 2024

DE

DeepLearning.AI

Generative AI with Large Language Models

Feb 2024

IB

IBM

Python for Data Science, AI & Development

Feb 2024

UD

University of California, Davis

SQL for Data Science

Feb 2024

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