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Building AI Agents That Replace Workflows, Not People | LangGraph · MCP ·
67% of Fortune 500 companies now have at least one AI agent in production. I help build the other 33%. I develop AI agent systems that go beyond chatbots — autonomous workflows that process invoices, qualify leads, handle support tickets, and make decisions while you sleep. My stack: LangGraph, DSPy, MCP Protocol, LangChain, FastAPI, and Python. What I've built: → "Rebot" — AI agent trained on Dubai Land Department's transactional data, delivering real-time property intelligence to thousands of users → "Kchat" — Custom AI chatbot for Optimal Access, transforming their customer support pipeline → Collaborated directly with RERA leadership (Dubai Land Department) on AI integration strategy → Scaled MakTek from zero to a full AI development studio serving SMBs and enterprise across the UAE Currently: Building an AI apps portfolio at Snippet, creating content about the agentic AI revolution (23K+ weekly impressions), and connecting the dots between MCP, A2A, and the protocol layer that's quietly becoming more important than the model layer. Previously: CEO & Founder of MakTek (3 years) · ML Engineer at TechnoVerse · Top Rated AI Developer on Upwork · Stanford ML Specialization If you're a founder exploring AI agents, a developer building with LangGraph/MCP, or someone who believes AI should DO things (not just generate text) — let's connect. I respond to every message.
Stanford University
Machine Learning Specialization, Computer Software Engineering
January 1, 2022 – February 1, 2023
University of Engineering and Technology Mardan
Bachelor's degree, Computer Science
June 1, 2020 – May 1, 2023
Peshawar Model Degree College
Fcs, Pre-Engineering
September 1, 2019 – August 1, 2020
Snippet
Building Apps Portfolio
January 1, 2026 – Present
United Arab Emirates · On-site
YouTube
AI Content Creator
January 1, 2024 – February 1, 2026
Remote
MakteK
Chief Executive Officer
February 1, 2023 – December 1, 2025
United Arab Emirates · On-site
TechnoVerse
Machine Learning Engineer
December 1, 2022 – October 1, 2023
Islāmābād, Pakistan · Hybrid
CodeNinja Inc.
Machine Learning Intern
August 1, 2022 – January 1, 2023
Lahore, Punjab, Pakistan
Upwork
Top Rated Ai Developer
October 1, 2021 – March 1, 2023
remote
Scorpbit Technologies
Web Developer
August 1, 2021 – December 1, 2021
Islāmābād, Pakistan
Kchat
January 1, 2024 – Present
I had the opportunity to develop a unique chatbot solution for Optimal Access, a platform dedicated to enhancing content curation and knowledge management. The chatbot was designed to provide users with accurate and prompt answers, leveraging the power of advanced Natural Language Processing (NLP) and OpenAI technologies. Key Features: Data-Driven Training: The chatbot was trained exclusively on the data available on the Optimal Access website, ensuring that the responses were highly relevant and tailored to the platform's content. Advanced NLP: Utilizing cutting-edge NLP techniques, the chatbot is capable of understanding and processing complex user queries, delivering precise and contextually appropriate answers. OpenAI Integration: The solution was built on OpenAI's powerful language models, enabling the chatbot to generate human-like responses and engage users in a natural conversation. Scalable Hosting: To ensure seamless performance and scalability, the chatbot was hosted on Amazon Web Services (AWS), providing robust and reliable infrastructure. FastAPI Framework: The backend of the chatbot was developed using FastAPI, a modern, fast web framework for building APIs with Python. This choice allowed for rapid development and easy integration with the frontend. Impact: The implementation of this chatbot has significantly enhanced the user experience on the Optimal Access platform. It has provided an efficient way for users to find relevant information and answers to their queries, improving overall engagement and satisfaction. The chatbot's ability to understand and respond to complex questions has set a new standard for interactive customer support in the digital space.
Rebot
August 1, 2023 – Present
Our chatbot, trained on Dubai Land Department's transactional data, offers real-time answers to property trends, investment opportunities, and market analysis. Whether you're an investor, buyer, or agent - get personalized insights and recommendations instantly. Contact us for more details, and how we can make a similar solution for your business. #DubaiLandDepartment #PropertyTrends #InvestmentOpportunities #MarketAnalysis #Chatbot #RealEstate #Investor #Buyer #Agent #PersonalizedInsights #Recommendations #BusinessSolutions
Machine Learning
Stanford University
June 25, 2026 – Present
matplotlib python
Great Learning
June 25, 2026 – Present
JavaScript
Coursera
June 25, 2026 – Present
DSPy: Build and Optimize Agentic Apps
DeepLearning.AI
June 25, 2026 – Present
Introduction to Artificial Intelligence (AI)
Coursera
June 25, 2026 – Present
CSS3
Coursera
June 25, 2026 – Present
Programming c++
Coursera
June 25, 2026 – Present
Generative AI with Large Language Models
DeepLearning.AI, Amazon Web Services
June 25, 2026 – Present
Advanced Learning Algorithms
Stanford University
June 25, 2026 – Present
Supervised Machine Learning Regression and Classification
Stanford University
June 25, 2026 – Present
React.js
Coursera
June 25, 2026 – Present
Dean's list
University of Engineering and Technology Mardan
June 25, 2026 – Present
Python for machine learning
Great Learning
June 25, 2026 – Present
Database mysql
Coursera
June 25, 2026 – Present
HTML5
Coursera
June 25, 2026 – Present
Python for everybody
Coursera
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's background shows a strong entrepreneurial drive and a passion for applying AI to solve real-world business problems, which aligns well with an innovative and results-oriented culture. Their diverse project portfolio, including developing solutions for real estate and content curation, demonstrates adaptability and a broad interest in AI applications. The experience in leading teams and collaborating with high-level stakeholders (RERA CEO) suggests a proactive and influential individual. However, the lack of explicit team collaboration projects beyond leading their own company makes it difficult to fully assess their fit within a larger, established engineering team structure.
Soft Skills & Operational Fit
The candidate's experience as a CEO and AI Content Creator suggests strong leadership, communication, and problem-solving skills. Their work on client-facing projects (MakteK) indicates an ability to understand business needs and deliver tailored solutions. The focus on 'building in public' and sharing insights implies a proactive and collaborative approach. However, without specific psychometric test results, a detailed assessment of stress handling, work attitude, and team collaboration is not possible.